diff --git a/README.md b/README.md
index 93a668e..3a92000 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@
-This curated list contains 920 awesome open-source projects with a total of 4.5M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome!
+This curated list contains 920 awesome open-source projects with a total of 4.6M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome!
---
@@ -31,7 +31,7 @@ This curated list contains 920 awesome open-source projects with a total of 4.5M
## Contents
-- [Machine Learning Frameworks](#machine-learning-frameworks) _62 projects_
+- [Machine Learning Frameworks](#machine-learning-frameworks) _63 projects_
- [Data Visualization](#data-visualization) _54 projects_
- [Text Data & NLP](#text-data--nlp) _102 projects_
- [Image Data](#image-data) _64 projects_
@@ -99,266 +99,250 @@ This curated list contains 920 awesome open-source projects with a total of 4.5M
_General-purpose machine learning and deep learning frameworks._
-Tensorflow (π₯56 Β· β 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
+PyTorch (π₯56 Β· β 82K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
-- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.6K Β· π 74K Β· π¦ 380K Β· π 40K - 7% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.1K Β· π 22K Β· π₯ 55K Β· π¦ 520K Β· π 46K - 32% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/tensorflow/tensorflow
- ```
-- [PyPi](https://pypi.org/project/tensorflow) (π₯ 21M / month Β· π¦ 7.4K Β· β±οΈ 09.03.2024):
- ```
- pip install tensorflow
+ git clone https://github.com/pytorch/pytorch
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 4.7M Β· β±οΈ 24.05.2024):
+- [PyPi](https://pypi.org/project/torch) (π₯ 34M / month Β· π¦ 18K Β· β±οΈ 04.09.2024):
```
- conda install -c conda-forge tensorflow
+ pip install torch
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 77M Β· β 2.4K Β· β±οΈ 06.06.2024):
+- [Conda](https://anaconda.org/pytorch/pytorch) (π₯ 23M Β· β±οΈ 03.09.2024):
```
- docker pull tensorflow/tensorflow
+ conda install -c pytorch pytorch
```
PyTorch (π₯55 Β· β 79K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
+Tensorflow (π₯55 Β· β 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 4.9K Β· π 21K Β· π₯ 43K Β· π¦ 460K Β· π 44K - 32% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.7K Β· π 74K Β· π¦ 410K Β· π 43K - 10% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/pytorch/pytorch
+ git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/torch) (π₯ 29M / month Β· π¦ 17K Β· β±οΈ 05.06.2024):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 18M / month Β· π¦ 7.8K Β· β±οΈ 11.07.2024):
```
- pip install torch
+ pip install tensorflow
```
-- [Conda](https://anaconda.org/pytorch/pytorch) (π₯ 22M Β· β±οΈ 04.06.2024):
+- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 4.9M Β· β±οΈ 31.08.2024):
```
- conda install -c pytorch pytorch
+ conda install -c conda-forge tensorflow
+ ```
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 78M Β· β 2.5K Β· β±οΈ 04.09.2024):
+ ```
+ docker pull tensorflow/tensorflow
```
scikit-learn (π₯52 Β· β 59K) - scikit-learn: machine learning in Python. BSD-3 
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.1K Β· π 25K Β· π₯ 960 Β· π¦ 790K Β· π 11K - 17% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.2K Β· π 25K Β· π₯ 1K Β· π¦ 880K Β· π 12K - 18% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 68M / month Β· π¦ 22K Β· β±οΈ 21.05.2024):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 72M / month Β· π¦ 24K Β· β±οΈ 03.07.2024):
```
pip install scikit-learn
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 29M Β· β±οΈ 23.05.2024):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 31M Β· β±οΈ 03.07.2024):
```
conda install -c conda-forge scikit-learn
```
Keras (π₯48 Β· β 61K) - Deep Learning for humans. Apache-2
+Keras (π₯48 Β· β 62K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.3K Β· π 19K Β· π 12K - 1% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.3K Β· π 19K Β· π 12K - 1% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/keras-team/keras
```
-- [PyPi](https://pypi.org/project/keras) (π₯ 17M / month Β· π¦ 1.4K Β· β±οΈ 22.04.2024):
+- [PyPi](https://pypi.org/project/keras) (π₯ 14M / month Β· π¦ 1.5K Β· β±οΈ 12.08.2024):
```
pip install keras
```
-- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 3.5M Β· β±οΈ 27.04.2024):
+- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 3.7M Β· β±οΈ 17.08.2024):
```
conda install -c conda-forge keras
```
PySpark (π₯45 Β· β 39K) - Apache Spark Python API. Apache-2 
+jax (π₯46 Β· β 30K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.1K Β· π 28K Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/google/jax) (π¨βπ» 740 Β· π 2.7K Β· π¦ 30K Β· π 5.9K - 29% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/apache/spark
+ git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/pyspark) (π₯ 29M / month Β· π¦ 1.4K Β· β±οΈ 03.06.2024):
+- [PyPi](https://pypi.org/project/jax) (π₯ 3.4M / month Β· π¦ 1.8K Β· β±οΈ 30.07.2024):
```
- pip install pyspark
+ pip install jax
```
-- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 3.2M Β· β±οΈ 03.03.2024):
+- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 1.6M Β· β±οΈ 31.08.2024):
```
- conda install -c conda-forge pyspark
+ conda install -c conda-forge jaxlib
```
jax (π₯45 Β· β 29K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
+PaddlePaddle (π₯46 Β· β 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [GitHub](https://github.com/google/jax) (π¨βπ» 700 Β· π 2.6K Β· π¦ 26K Β· π 5.5K - 29% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.3K Β· π 5.5K Β· π₯ 15K Β· π¦ 5.8K Β· π 19K - 9% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/google/jax
- ```
-- [PyPi](https://pypi.org/project/jax) (π₯ 5.9M / month Β· π¦ 1.5K Β· β±οΈ 09.05.2024):
- ```
- pip install jax
+ git clone https://github.com/PaddlePaddle/Paddle
```
-- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 1.3M Β· β±οΈ 22.05.2024):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 510K / month Β· π¦ 160 Β· β±οΈ 08.07.2024):
```
- conda install -c conda-forge jaxlib
+ pip install paddlepaddle
```
PaddlePaddle (π₯45 Β· β 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
+XGBoost (π₯45 Β· β 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.2K Β· π 5.4K Β· π₯ 15K Β· π¦ 5.2K Β· π 19K - 9% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 650 Β· π 8.7K Β· π₯ 11K Β· π¦ 110K Β· π 5.3K - 8% open Β· β±οΈ 02.09.2024):
```
- git clone https://github.com/PaddlePaddle/Paddle
+ git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 210K / month Β· π¦ 110 Β· β±οΈ 19.03.2024):
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 21M / month Β· π¦ 1.9K Β· β±οΈ 31.07.2024):
```
- pip install paddlepaddle
+ pip install xgboost
+ ```
+- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 5.2M Β· β±οΈ 28.08.2024):
+ ```
+ conda install -c conda-forge xgboost
```
StatsModels (π₯45 Β· β 9.7K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+StatsModels (π₯45 Β· β 10K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 430 Β· π 2.8K Β· π₯ 31 Β· π¦ 130K Β· π 5.5K - 50% open Β· β±οΈ 01.06.2024):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 430 Β· π 2.9K Β· π₯ 33 Β· π¦ 130K Β· π 5.6K - 50% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/statsmodels) (π₯ 17M / month Β· π¦ 4K Β· β±οΈ 17.04.2024):
+- [PyPi](https://pypi.org/project/statsmodels) (π₯ 16M / month Β· π¦ 4.3K Β· β±οΈ 17.04.2024):
```
pip install statsmodels
```
-- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 13M Β· β±οΈ 17.05.2024):
+- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 15M Β· β±οΈ 17.05.2024):
```
conda install -c conda-forge statsmodels
```
pytorch-lightning (π₯44 Β· β 27K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2
+PySpark (π₯44 Β· β 39K) - Apache Spark Python API. Apache-2
-- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 950 Β· π 3.3K Β· π₯ 7.6K Β· π¦ 33K Β· π 6.9K - 10% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.1K Β· π 28K Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/Lightning-AI/lightning
+ git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 5.4M / month Β· π¦ 1.4K Β· β±οΈ 22.05.2024):
+- [PyPi](https://pypi.org/project/pyspark) (π₯ 30M / month Β· π¦ 1.5K Β· β±οΈ 12.08.2024):
```
- pip install pytorch-lightning
+ pip install pyspark
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 1.2M Β· β±οΈ 12.04.2024):
+- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 3.4M Β· β±οΈ 03.03.2024):
```
- conda install -c conda-forge pytorch-lightning
+ conda install -c conda-forge pyspark
```
XGBoost (π₯44 Β· β 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
+pytorch-lightning (π₯44 Β· β 28K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2
-- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 640 Β· π 8.7K Β· π₯ 8.6K Β· π¦ 94K Β· π 5.2K - 8% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 970 Β· π 3.3K Β· π₯ 8.3K Β· π¦ 36K Β· π 7K - 10% open Β· β±οΈ 22.08.2024):
```
- git clone https://github.com/dmlc/xgboost
+ git clone https://github.com/Lightning-AI/lightning
```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 20M / month Β· π¦ 1.8K Β· β±οΈ 31.05.2024):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 6.3M / month Β· π¦ 1.4K Β· β±οΈ 07.08.2024):
```
- pip install xgboost
+ pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 4.9M Β· β±οΈ 18.04.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 1.3M Β· β±οΈ 07.08.2024):
```
- conda install -c conda-forge xgboost
+ conda install -c conda-forge pytorch-lightning
```
LightGBM (π₯43 Β· β 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
+LightGBM (π₯43 Β· β 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 300 Β· π 3.8K Β· π₯ 220K Β· π¦ 34K Β· π 3.4K - 11% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 320 Β· π 3.8K Β· π₯ 230K Β· π¦ 37K Β· π 3.4K - 10% open Β· β±οΈ 04.09.2024):
```
git clone https://github.com/microsoft/LightGBM
```
-- [PyPi](https://pypi.org/project/lightgbm) (π₯ 7.6M / month Β· π¦ 1K Β· β±οΈ 26.01.2024):
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 10M / month Β· π¦ 1.1K Β· β±οΈ 26.07.2024):
```
pip install lightgbm
```
-- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2.3M Β· β±οΈ 26.01.2024):
+- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2.6M Β· β±οΈ 02.08.2024):
```
conda install -c conda-forge lightgbm
```
Catboost (π₯41 Β· β 7.8K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
+Catboost (π₯41 Β· β 8K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.2K Β· π 1.1K Β· π₯ 260K Β· π¦ 14 Β· π 2.3K - 22% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.3K Β· π 1.2K Β· π₯ 290K Β· π¦ 14 Β· π 2.3K - 23% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 2.2M / month Β· π¦ 390 Β· β±οΈ 18.04.2024):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 2.6M / month Β· π¦ 540 Β· β±οΈ 05.09.2024):
```
pip install catboost
```
-- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 1.5M Β· β±οΈ 18.04.2024):
+- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 1.7M Β· β±οΈ 18.04.2024):
```
conda install -c conda-forge catboost
```
Fastai (π₯40 Β· β 26K) - The fastai deep learning library. Apache-2
-- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 670 Β· π 7.5K Β· π¦ 17K Β· π 1.8K - 11% open Β· β±οΈ 25.05.2024):
+- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 670 Β· π 7.5K Β· π¦ 18K Β· π 1.8K - 12% open Β· β±οΈ 27.08.2024):
```
git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/fastai) (π₯ 370K / month Β· π¦ 290 Β· β±οΈ 27.04.2024):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 320K / month Β· π¦ 300 Β· β±οΈ 27.08.2024):
```
pip install fastai
```
Jina (π₯39 Β· β 20K) - Build multimodal AI applications with cloud-native stack. Apache-2
+Jina (π₯39 Β· β 21K) - Build multimodal AI applications with cloud-native stack. Apache-2
-- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 180 Β· π 2.2K Β· π¦ 1.7K Β· π 2K - 1% open Β· β±οΈ 16.05.2024):
+- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 180 Β· π 2.2K Β· π¦ 1.8K Β· π 2K - 1% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/jina-ai/jina
```
-- [PyPi](https://pypi.org/project/jina) (π₯ 40K / month Β· π¦ 27 Β· β±οΈ 10.04.2024):
+- [PyPi](https://pypi.org/project/jina) (π₯ 58K / month Β· π¦ 27 Β· β±οΈ 05.09.2024):
```
pip install jina
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 65K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 73K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge jina-core
```
-- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.3M Β· β 8 Β· β±οΈ 16.05.2024):
+- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.7M Β· β 8 Β· β±οΈ 05.09.2024):
```
docker pull jinaai/jina
```
Flax (π₯39 Β· β 5.7K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
-
-- [GitHub](https://github.com/google/flax) (π¨βπ» 220 Β· π 600 Β· π₯ 51 Β· π¦ 7.7K Β· π 930 - 24% open Β· β±οΈ 06.06.2024):
-
- ```
- git clone https://github.com/google/flax
- ```
-- [PyPi](https://pypi.org/project/flax) (π₯ 3.4M / month Β· π¦ 400 Β· β±οΈ 24.05.2024):
- ```
- pip install flax
- ```
-- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 52K Β· β±οΈ 30.04.2024):
- ```
- conda install -c conda-forge flax
- ```
-PyFlink (π₯38 Β· β 23K) - Apache Flink Python API. Apache-2
+PyFlink (π₯38 Β· β 24K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.9K Β· π 13K Β· π¦ 21 Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.9K Β· π 13K Β· π¦ 21 Β· β±οΈ 05.09.2024):
```
git clone https://github.com/apache/flink
```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 80K / month Β· π¦ 24 Β· β±οΈ 15.03.2024):
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 150K / month Β· π¦ 35 Β· β±οΈ 01.08.2024):
```
pip install apache-flink
```
Theano (π₯37 Β· β 9.9K) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
+Theano (π₯37 Β· β 9.9K Β· π€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
- [GitHub](https://github.com/Theano/Theano) (π¨βπ» 390 Β· π 2.5K Β· π¦ 15K Β· π 2.8K - 24% open Β· β±οΈ 15.01.2024):
```
git clone https://github.com/Theano/Theano
```
-- [PyPi](https://pypi.org/project/theano) (π₯ 300K / month Β· π¦ 170 Β· β±οΈ 27.07.2020):
+- [PyPi](https://pypi.org/project/theano) (π₯ 90K / month Β· π¦ 170 Β· β±οΈ 27.07.2020):
```
pip install theano
```
@@ -367,286 +351,286 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge theano
```
ivy (π₯36 Β· β 14K Β· π) - The Unified AI Framework. Apache-2
+Flax (π₯37 Β· β 5.9K) - Flax is a neural network library for JAX that is designed for.. Apache-2
+
+- [GitHub](https://github.com/google/flax) (π¨βπ» 240 Β· π 620 Β· π₯ 51 Β· π¦ 9K Β· π 990 - 26% open Β· β±οΈ 05.09.2024):
+
+ ```
+ git clone https://github.com/google/flax
+ ```
+- [PyPi](https://pypi.org/project/flax) (π₯ 670K / month Β· π¦ 450 Β· β±οΈ 27.08.2024):
+ ```
+ pip install flax
+ ```
+- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 69K Β· β±οΈ 27.08.2024):
+ ```
+ conda install -c conda-forge flax
+ ```
+ivy (π₯36 Β· β 14K) - Convert Machine Learning Code Between Frameworks. Apache-2
-- [GitHub](https://github.com/Transpile-AI/ivy) (π¨βπ» 1.5K Β· π 5.8K Β· π 17K - 5% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/ivy-llc/ivy) (π¨βπ» 1.5K Β· π 5.8K Β· π 17K - 5% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/unifyai/ivy
```
-- [PyPi](https://pypi.org/project/ivy) (π₯ 1.5K / month Β· π¦ 12 Β· β±οΈ 05.06.2024):
+- [PyPi](https://pypi.org/project/ivy) (π₯ 2K / month Β· π¦ 12 Β· β±οΈ 09.08.2024):
```
pip install ivy
```
Thinc (π₯36 Β· β 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
-- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 63 Β· π 280 Β· π¦ 48K Β· π 140 - 13% open Β· β±οΈ 03.06.2024):
+- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 63 Β· π 280 Β· π₯ 87 Β· π¦ 52K Β· π 150 - 14% open Β· β±οΈ 02.09.2024):
```
git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/thinc) (π₯ 9.9M / month Β· π¦ 120 Β· β±οΈ 04.06.2024):
+- [PyPi](https://pypi.org/project/thinc) (π₯ 9.9M / month Β· π¦ 130 Β· β±οΈ 02.09.2024):
```
pip install thinc
```
-- [Conda](https://anaconda.org/conda-forge/thinc) (π₯ 2.8M Β· β±οΈ 11.05.2024):
+- [Conda](https://anaconda.org/conda-forge/thinc) (π₯ 3M Β· β±οΈ 14.07.2024):
```
conda install -c conda-forge thinc
```
Ludwig (π₯34 Β· β 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
-
-- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 160 Β· π 1.2K Β· π¦ 260 Β· π 1.1K - 32% open Β· β±οΈ 01.06.2024):
-
- ```
- git clone https://github.com/ludwig-ai/ludwig
- ```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 4.7K / month Β· π¦ 6 Β· β±οΈ 08.04.2024):
- ```
- pip install ludwig
- ```
-Vowpal Wabbit (π₯34 Β· β 8.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
+einops (π₯35 Β· β 8.3K) - Flexible and powerful tensor operations for readable and reliable code.. MIT
-- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 340 Β· π 1.9K Β· π 1.3K - 10% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 27 Β· π 340 Β· π¦ 44K Β· π 180 - 19% open Β· β±οΈ 08.08.2024):
```
- git clone https://github.com/VowpalWabbit/vowpal_wabbit
+ git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 62K / month Β· π¦ 40 Β· β±οΈ 19.07.2023):
+- [PyPi](https://pypi.org/project/einops) (π₯ 4.9M / month Β· π¦ 2K Β· β±οΈ 28.04.2024):
```
- pip install vowpalwabbit
+ pip install einops
```
-- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 160K Β· β±οΈ 26.04.2024):
+- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 260K Β· β±οΈ 28.04.2024):
```
- conda install -c conda-forge vowpalwabbit
+ conda install -c conda-forge einops
```
einops (π₯34 Β· β 8K) - Flexible and powerful tensor operations for readable and reliable code (for.. MIT
+mlpack (π₯35 Β· β 5K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 27 Β· π 340 Β· π¦ 36K Β· π 170 - 19% open Β· β±οΈ 26.05.2024):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 320 Β· π 1.6K Β· π 1.6K - 1% open Β· β±οΈ 03.09.2024):
```
- git clone https://github.com/arogozhnikov/einops
+ git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/einops) (π₯ 7.3M / month Β· π¦ 1.7K Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/mlpack) (π₯ 4.1K / month Β· π¦ 4 Β· β±οΈ 25.07.2024):
```
- pip install einops
+ pip install mlpack
```
-- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 220K Β· β±οΈ 28.04.2024):
+- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 240K Β· β±οΈ 29.05.2024):
```
- conda install -c conda-forge einops
+ conda install -c conda-forge mlpack
```
Ignite (π₯34 Β· β 4.5K) - High-level library to help with training and evaluating neural.. BSD-3
+Ignite (π₯35 Β· β 4.5K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 530 Β· π 600 Β· π¦ 2.9K Β· π 1.4K - 10% open Β· β±οΈ 04.06.2024):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 620 Β· π 610 Β· π¦ 3.2K Β· π 1.4K - 11% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 260K / month Β· π¦ 84 Β· β±οΈ 06.06.2024):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 170K / month Β· π¦ 95 Β· β±οΈ 05.09.2024):
```
pip install pytorch-ignite
```
-- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 180K Β· β±οΈ 01.04.2024):
+- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 200K Β· β±οΈ 13.08.2024):
```
conda install -c pytorch ignite
```
mlpack (π₯33 Β· β 4.9K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
+Vowpal Wabbit (π₯34 Β· β 8.5K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 320 Β· π 1.6K Β· π 1.6K - 1% open Β· β±οΈ 03.06.2024):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 340 Β· π 1.9K Β· π 1.3K - 10% open Β· β±οΈ 01.08.2024):
```
- git clone https://github.com/mlpack/mlpack
+ git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 2.3K / month Β· π¦ 2 Β· β±οΈ 28.05.2024):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 52K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
```
- pip install mlpack
+ pip install vowpalwabbit
```
-- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 190K Β· β±οΈ 29.05.2024):
+- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 210K Β· β±οΈ 05.09.2024):
```
- conda install -c conda-forge mlpack
+ conda install -c conda-forge vowpalwabbit
```
Sonnet (π₯32 Β· β 9.7K) - TensorFlow-based neural network library. Apache-2
+Ludwig (π₯33 Β· β 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
-- [GitHub](https://github.com/google-deepmind/sonnet) (π¨βπ» 59 Β· π 1.3K Β· π¦ 1.3K Β· π 190 - 16% open Β· β±οΈ 08.04.2024):
+- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 160 Β· π 1.2K Β· π¦ 270 Β· π 1.1K - 32% open Β· β±οΈ 21.08.2024):
```
- git clone https://github.com/deepmind/sonnet
- ```
-- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 18K / month Β· π¦ 18 Β· β±οΈ 02.01.2024):
- ```
- pip install dm-sonnet
+ git clone https://github.com/ludwig-ai/ludwig
```
-- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 29K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 2.8K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
```
- conda install -c conda-forge sonnet
+ pip install ludwig
```
tensorpack (π₯32 Β· β 6.3K Β· π€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2
+Sonnet (π₯32 Β· β 9.7K) - TensorFlow-based neural network library. Apache-2
-- [GitHub](https://github.com/tensorpack/tensorpack) (π¨βπ» 58 Β· π 1.8K Β· π₯ 170 Β· π¦ 1.6K Β· π 1.4K - 0% open Β· β±οΈ 06.08.2023):
+- [GitHub](https://github.com/google-deepmind/sonnet) (π¨βπ» 59 Β· π 1.3K Β· π¦ 1.3K Β· π 190 - 16% open Β· β±οΈ 08.04.2024):
```
- git clone https://github.com/tensorpack/tensorpack
+ git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/tensorpack) (π₯ 14K / month Β· π¦ 18 Β· β±οΈ 22.01.2021):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 17K / month Β· π¦ 19 Β· β±οΈ 02.01.2024):
```
- pip install tensorpack
+ pip install dm-sonnet
```
-- [Conda](https://anaconda.org/conda-forge/tensorpack) (π₯ 11K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 33K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge tensorpack
+ conda install -c conda-forge sonnet
```
skorch (π₯31 Β· β 5.7K) - A scikit-learn compatible neural network library that wraps.. BSD-3
+skorch (π₯31 Β· β 5.8K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 62 Β· π 380 Β· π¦ 1.3K Β· π 520 - 11% open Β· β±οΈ 30.05.2024):
+- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 62 Β· π 380 Β· π¦ 1.4K Β· π 520 - 11% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/skorch-dev/skorch
```
-- [PyPi](https://pypi.org/project/skorch) (π₯ 170K / month Β· π¦ 80 Β· β±οΈ 27.05.2024):
+- [PyPi](https://pypi.org/project/skorch) (π₯ 140K / month Β· π¦ 85 Β· β±οΈ 27.05.2024):
```
pip install skorch
```
-- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 780K Β· β±οΈ 30.05.2024):
+- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 790K Β· β±οΈ 30.05.2024):
```
conda install -c conda-forge skorch
```
dyNET (π₯31 Β· β 3.4K Β· π€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
-- [GitHub](https://github.com/clab/dynet) (π¨βπ» 160 Β· π 700 Β· π₯ 16K Β· π¦ 260 Β· π 940 - 29% open Β· β±οΈ 08.11.2023):
+- [GitHub](https://github.com/clab/dynet) (π¨βπ» 160 Β· π 700 Β· π₯ 17K Β· π¦ 260 Β· π 950 - 29% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/clab/dynet
```
-- [PyPi](https://pypi.org/project/dyNET) (π₯ 290K / month Β· π¦ 18 Β· β±οΈ 21.10.2020):
+- [PyPi](https://pypi.org/project/dyNET) (π₯ 250K / month Β· π¦ 18 Β· β±οΈ 21.10.2020):
```
pip install dyNET
```
Haiku (π₯31 Β· β 2.8K) - JAX-based neural network library. Apache-2
+Determined (π₯31 Β· β 3K) - Determined is an open-source machine learning platform.. Apache-2
-- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 81 Β· π 230 Β· π¦ 1.9K Β· π 250 - 28% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 350 Β· π₯ 9.6K Β· π 450 - 23% open Β· β±οΈ 04.09.2024):
```
- git clone https://github.com/deepmind/dm-haiku
- ```
-- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 290K / month Β· π¦ 160 Β· β±οΈ 28.02.2024):
- ```
- pip install dm-haiku
+ git clone https://github.com/determined-ai/determined
```
-- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 17K Β· β±οΈ 28.02.2024):
+- [PyPi](https://pypi.org/project/determined) (π₯ 30K / month Β· π¦ 4 Β· β±οΈ 23.08.2024):
```
- conda install -c conda-forge dm-haiku
+ pip install determined
```
tensorflow-upstream (π₯31 Β· β 680) - TensorFlow ROCm port. Apache-2
-- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.6K Β· π 91 Β· π₯ 21 Β· π 370 - 23% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.7K Β· π 93 Β· π₯ 23 Β· π 380 - 23% open Β· β±οΈ 27.08.2024):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 4.1K / month Β· π¦ 6 Β· β±οΈ 10.01.2024):
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 3.4K / month Β· π¦ 9 Β· β±οΈ 10.01.2024):
```
pip install tensorflow-rocm
```
Determined (π₯30 Β· β 2.9K) - Determined is an open-source machine learning platform.. Apache-2
+Haiku (π₯30 Β· β 2.9K) - JAX-based neural network library. Apache-2
-- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 340 Β· π₯ 8.1K Β· π 460 - 26% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 82 Β· π 230 Β· π¦ 2K Β· π 250 - 30% open Β· β±οΈ 30.08.2024):
```
- git clone https://github.com/determined-ai/determined
- ```
-- [PyPi](https://pypi.org/project/determined) (π₯ 47K / month Β· π¦ 4 Β· β±οΈ 29.05.2024):
- ```
- pip install determined
+ git clone https://github.com/deepmind/dm-haiku
```
-ktrain (π₯30 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
-
-- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 16 Β· π 270 Β· π¦ 520 Β· π 490 - 0% open Β· β±οΈ 05.04.2024):
-
+- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 200K / month Β· π¦ 170 Β· β±οΈ 28.02.2024):
```
- git clone https://github.com/amaiya/ktrain
+ pip install dm-haiku
```
-- [PyPi](https://pypi.org/project/ktrain) (π₯ 10K / month Β· π¦ 3 Β· β±οΈ 05.04.2024):
+- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 21K Β· β±οΈ 28.02.2024):
```
- pip install ktrain
+ conda install -c conda-forge dm-haiku
```
Geomstats (π₯30 Β· β 1.2K) - Computations and statistics on manifolds with geometric structures. MIT
-- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 92 Β· π 230 Β· π¦ 110 Β· π 560 - 37% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 92 Β· π 240 Β· π¦ 120 Β· π 560 - 36% open Β· β±οΈ 30.08.2024):
```
git clone https://github.com/geomstats/geomstats
```
-- [PyPi](https://pypi.org/project/geomstats) (π₯ 3.4K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/geomstats) (π₯ 3.2K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
```
pip install geomstats
```
-- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 2.6K Β· β±οΈ 30.08.2023):
+- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 3.4K Β· β±οΈ 30.08.2023):
```
conda install -c conda-forge geomstats
```
Neural Network Libraries (π₯29 Β· β 2.7K) - Neural Network Libraries. Apache-2
+ktrain (π₯29 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
+
+- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 17 Β· π 270 Β· π¦ 550 Β· π 500 - 0% open Β· β±οΈ 09.07.2024):
+
+ ```
+ git clone https://github.com/amaiya/ktrain
+ ```
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 7.7K / month Β· π¦ 4 Β· β±οΈ 19.06.2024):
+ ```
+ pip install ktrain
+ ```
+Neural Network Libraries (π₯27 Β· β 2.7K) - Neural Network Libraries. Apache-2
-- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 76 Β· π 330 Β· π₯ 920 Β· π 95 - 36% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 76 Β· π 330 Β· π₯ 920 Β· π 95 - 36% open Β· β±οΈ 20.06.2024):
```
git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/nnabla) (π₯ 4.2K / month Β· π¦ 44 Β· β±οΈ 29.05.2024):
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 3K / month Β· π¦ 44 Β· β±οΈ 29.05.2024):
```
pip install nnabla
```
EvaDB (π₯28 Β· β 2.6K) - Database system for AI-powered apps. Apache-2
+EvaDB (π₯27 Β· β 2.6K Β· π€) - Database system for AI-powered apps. Apache-2
-- [GitHub](https://github.com/georgia-tech-db/evadb) (π¨βπ» 73 Β· π 250 Β· π₯ 410K Β· π¦ 140 Β· π 300 - 25% open Β· β±οΈ 03.12.2023):
+- [GitHub](https://github.com/georgia-tech-db/evadb) (π¨βπ» 73 Β· π 260 Β· π₯ 410K Β· π¦ 150 Β· π 300 - 25% open Β· β±οΈ 03.12.2023):
```
git clone https://github.com/georgia-tech-db/eva
```
-- [PyPi](https://pypi.org/project/evadb) (π₯ 460 / month Β· β±οΈ 19.11.2023):
+- [PyPi](https://pypi.org/project/evadb) (π₯ 540 / month Β· β±οΈ 19.11.2023):
```
pip install evadb
```
pyRiemann (π₯27 Β· β 600) - Machine learning for multivariate data through the Riemannian.. BSD-3
+pyRiemann (π₯27 Β· β 620) - Machine learning for multivariate data through the Riemannian.. BSD-3
-- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 33 Β· π 160 Β· π¦ 350 Β· π 100 - 3% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 34 Β· π 160 Β· π¦ 380 Β· π 110 - 3% open Β· β±οΈ 26.08.2024):
```
git clone https://github.com/pyRiemann/pyRiemann
```
-- [PyPi](https://pypi.org/project/pyriemann) (π₯ 34K / month Β· π¦ 26 Β· β±οΈ 10.04.2024):
+- [PyPi](https://pypi.org/project/pyriemann) (π₯ 31K / month Β· π¦ 28 Β· β±οΈ 10.04.2024):
```
pip install pyriemann
```
-- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 6K Β· β±οΈ 10.04.2024):
+- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 7.6K Β· β±οΈ 10.04.2024):
```
conda install -c conda-forge pyriemann
```
SHOGUN (π₯26 Β· β 3K) - Unified and efficient Machine Learning. BSD-3
+SHOGUN (π₯26 Β· β 3K Β· π€) - Unified and efficient Machine Learning. BSD-3
- [GitHub](https://github.com/shogun-toolbox/shogun) (π¨βπ» 250 Β· π 1K Β· π 1.5K - 27% open Β· β±οΈ 19.12.2023):
```
git clone https://github.com/shogun-toolbox/shogun
```
-- [Conda](https://anaconda.org/conda-forge/shogun) (π₯ 130K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/shogun) (π₯ 140K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge shogun
```
@@ -655,43 +639,67 @@ _General-purpose machine learning and deep learning frameworks._
docker pull shogun/shogun
```
Towhee (π₯24 Β· β 3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
+Towhee (π₯24 Β· β 3.2K Β· π€) - Towhee is a framework that is dedicated to making neural data.. Apache-2
-- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 35 Β· π 250 Β· π₯ 2.6K Β· π 660 - 0% open Β· β±οΈ 20.01.2024):
+- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 35 Β· π 250 Β· π₯ 2.7K Β· π 660 - 0% open Β· β±οΈ 20.01.2024):
```
git clone https://github.com/towhee-io/towhee
```
-- [PyPi](https://pypi.org/project/towhee) (π₯ 18K / month Β· β±οΈ 04.12.2023):
+- [PyPi](https://pypi.org/project/towhee) (π₯ 30K / month Β· β±οΈ 04.12.2023):
```
pip install towhee
```
Neural Tangents (π₯24 Β· β 2.2K Β· π) - Fast and Easy Infinite Neural Networks in Python. Apache-2
+Neural Tangents (π₯24 Β· β 2.3K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
-- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 29 Β· π 240 Β· π₯ 380 Β· π¦ 100 Β· π 160 - 38% open Β· β±οΈ 01.03.2024):
+- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 29 Β· π 240 Β· π₯ 460 Β· π¦ 110 Β· π 160 - 38% open Β· β±οΈ 01.03.2024):
```
git clone https://github.com/google/neural-tangents
```
-- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 2.3K / month Β· π¦ 1 Β· β±οΈ 11.12.2023):
+- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 2.4K / month Β· π¦ 1 Β· β±οΈ 11.12.2023):
```
pip install neural-tangents
```
fklearn (π₯24 Β· β 1.5K Β· π€) - fklearn: Functional Machine Learning. Apache-2
+fklearn (π₯24 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
-- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 55 Β· π 160 Β· π¦ 13 Β· π 63 - 60% open Β· β±οΈ 08.11.2023):
+- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 56 Β· π 160 Β· π¦ 14 Β· π 65 - 61% open Β· β±οΈ 14.08.2024):
```
git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 1.1K / month Β· β±οΈ 23.05.2024):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 1.6K / month Β· β±οΈ 14.08.2024):
```
pip install fklearn
```
mace (π₯23 Β· β 4.9K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
+Runhouse (π₯24 Β· β 960 Β· β) - Orchestrate heterogeneous ML workloads in Python, like PyTorch.. Apache-2
+
+- [GitHub](https://github.com/run-house/runhouse) (π¨βπ» 15 Β· π 35 Β· π₯ 31 Β· π 51 - 17% open Β· β±οΈ 05.09.2024):
+
+ ```
+ git clone https://github.com/run-house/runhouse
+ ```
+- [PyPi](https://pypi.org/project/runhouse) (π₯ 26K / month Β· π¦ 1 Β· β±οΈ 04.09.2024):
+ ```
+ pip install runhouse
+ ```
+chefboost (π₯23 Β· β 450) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
+
+- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 7 Β· π 100 Β· π¦ 59 Β· π 56 - 12% open Β· β±οΈ 12.08.2024):
+
+ ```
+ git clone https://github.com/serengil/chefboost
+ ```
+- [PyPi](https://pypi.org/project/chefboost) (π₯ 3.6K / month Β· β±οΈ 08.06.2024):
+ ```
+ pip install chefboost
+ ```
+mace (π₯21 Β· β 4.9K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
- [GitHub](https://github.com/XiaoMi/mace) (π¨βπ» 69 Β· π 820 Β· π₯ 1.5K Β· π 680 - 8% open Β· β±οΈ 11.03.2024):
@@ -699,95 +707,84 @@ _General-purpose machine learning and deep learning frameworks._
git clone https://github.com/XiaoMi/mace
```
ThunderSVM (π₯22 Β· β 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
+ThunderSVM (π₯21 Β· β 1.6K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 37 Β· π 210 Β· π₯ 2.8K Β· π 230 - 34% open Β· β±οΈ 01.04.2024):
```
git clone https://github.com/Xtra-Computing/thundersvm
```
-- [PyPi](https://pypi.org/project/thundersvm) (π₯ 840 / month Β· β±οΈ 13.03.2020):
+- [PyPi](https://pypi.org/project/thundersvm) (π₯ 690 / month Β· β±οΈ 13.03.2020):
```
pip install thundersvm
```
Objax (π₯21 Β· β 760) - Objax is a machine learning framework that provides an Object.. Apache-2
+Objax (π₯21 Β· β 770 Β· π€) - Objax is a machine learning framework that provides an Object.. Apache-2
-- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 78 Β· π¦ 54 Β· π 110 - 45% open Β· β±οΈ 27.01.2024):
+- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 78 Β· π¦ 55 Β· π 110 - 45% open Β· β±οΈ 27.01.2024):
```
git clone https://github.com/google/objax
```
-- [PyPi](https://pypi.org/project/objax) (π₯ 630 / month Β· π¦ 4 Β· β±οΈ 06.11.2023):
+- [PyPi](https://pypi.org/project/objax) (π₯ 560 / month Β· π¦ 4 Β· β±οΈ 06.11.2023):
```
pip install objax
```
NeoML (π₯21 Β· β 760) - Machine learning framework for both deep learning and traditional.. Apache-2
-- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 37 Β· π 120 Β· π 87 - 42% open Β· β±οΈ 29.05.2024):
+- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 40 Β· π 130 Β· π¦ 1 Β· π 91 - 40% open Β· β±οΈ 04.09.2024):
```
git clone https://github.com/neoml-lib/neoml
```
-- [PyPi](https://pypi.org/project/neoml) (π₯ 130 / month Β· β±οΈ 26.12.2023):
+- [PyPi](https://pypi.org/project/neoml) (π₯ 480 / month Β· β±οΈ 26.12.2023):
```
pip install neoml
```
Torchbearer (π₯21 Β· β 630) - torchbearer: A model fitting library for PyTorch. MIT
+Torchbearer (π₯21 Β· β 630 Β· π€) - torchbearer: A model fitting library for PyTorch. MIT
-- [GitHub](https://github.com/pytorchbearer/torchbearer) (π¨βπ» 14 Β· π 68 Β· π¦ 88 Β· π 250 - 4% open Β· β±οΈ 04.12.2023):
+- [GitHub](https://github.com/pytorchbearer/torchbearer) (π¨βπ» 14 Β· π 68 Β· π¦ 90 Β· π 250 - 4% open Β· β±οΈ 04.12.2023):
```
git clone https://github.com/pytorchbearer/torchbearer
```
-- [PyPi](https://pypi.org/project/torchbearer) (π₯ 390 / month Β· π¦ 4 Β· β±οΈ 01.12.2023):
+- [PyPi](https://pypi.org/project/torchbearer) (π₯ 340 / month Β· π¦ 4 Β· β±οΈ 01.12.2023):
```
pip install torchbearer
```
chefboost (π₯20 Β· β 440) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
-
-- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 7 Β· π 100 Β· π¦ 53 Β· π 49 - 14% open Β· β±οΈ 26.12.2023):
-
- ```
- git clone https://github.com/serengil/chefboost
- ```
-- [PyPi](https://pypi.org/project/chefboost) (π₯ 2.6K / month Β· β±οΈ 16.02.2022):
- ```
- pip install chefboost
- ```
-ThunderGBM (π₯17 Β· β 690) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
+ThunderGBM (π₯17 Β· β 690 Β· π€) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
-- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 12 Β· π 87 Β· π¦ 2 Β· π 81 - 48% open Β· β±οΈ 29.01.2024):
+- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 12 Β· π 87 Β· π¦ 3 Β· π 81 - 48% open Β· β±οΈ 29.01.2024):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (π₯ 220 / month Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 100 / month Β· β±οΈ 19.09.2022):
```
pip install thundergbm
```
Show 15 hidden projects...
+Show 16 hidden projects...
-- dlib (π₯41 Β· β 13K) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
+- dlib (π₯40 Β· β 13K) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
- MXNet (π₯38 Β· β 21K Β· π) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 
βοΈlibpng-2.0 βοΈlibpng-2.0 MIT
- Turi Create (π₯32 Β· β 11K Β· π) - Turi Create simplifies the development of custom machine.. BSD-3
-- TFlearn (π₯32 Β· β 9.6K Β· π) - Deep learning library featuring a higher-level API for TensorFlow. MIT MIT
+- tensorpack (π₯32 Β· β 6.3K Β· π) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 MIT MIT
- Lasagne (π₯28 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
-- NuPIC (π₯27 Β· β 6.3K Β· π€) - Numenta Platform for Intelligent Computing is an implementation.. βοΈAGPL-3.0
+- NuPIC (π₯27 Β· β 6.3K Β· π) - Numenta Platform for Intelligent Computing is an implementation.. βοΈAGPL-3.0
- xLearn (π₯24 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
- NeuPy (π₯24 Β· β 740 Β· π) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
-- neon (π₯22 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
+- neon (π₯23 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
- elegy (π₯19 Β· β 470 Β· π) - A High Level API for Deep Learning in JAX. MIT MIT
-- nanodl (π₯16 Β· β 260) - A Jax-based library for designing and training transformer models from.. MIT MIT
@@ -799,639 +796,647 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (π₯48 Β· β 20K) - matplotlib: plotting with Python. βUnlicensed
-- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.7K Β· π 7.4K Β· π¦ 1.2M Β· π 11K - 14% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.7K Β· π 7.6K Β· π¦ 1.3M Β· π 11K - 14% open Β· β±οΈ 03.09.2024):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 66M / month Β· π¦ 45K Β· β±οΈ 15.05.2024):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 72M / month Β· π¦ 49K Β· β±οΈ 13.08.2024):
```
pip install matplotlib
```
-- [Conda](https://anaconda.org/conda-forge/matplotlib) (π₯ 24M Β· β±οΈ 17.05.2024):
+- [Conda](https://anaconda.org/conda-forge/matplotlib) (π₯ 26M Β· β±οΈ 22.08.2024):
```
conda install -c conda-forge matplotlib
```
Bokeh (π₯45 Β· β 19K) - Interactive Data Visualization in the browser, from Python. BSD-3
-- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 690 Β· π 4.2K Β· π¦ 89K Β· π 7.7K - 10% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 700 Β· π 4.2K Β· π¦ 92K Β· π 7.7K - 9% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/bokeh/bokeh
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 4M / month Β· π¦ 1.6K Β· β±οΈ 04.06.2024):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 4.3M / month Β· π¦ 1.7K Β· β±οΈ 23.08.2024):
```
pip install bokeh
```
-- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 14M Β· β±οΈ 12.04.2024):
+- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 15M Β· β±οΈ 23.08.2024):
```
conda install -c conda-forge bokeh
```
Plotly (π₯44 Β· β 15K) - The interactive graphing library for Python This project now includes.. MIT
+Plotly (π₯44 Β· β 16K) - The interactive graphing library for Python This project now includes.. MIT
-- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 260 Β· π 2.5K Β· π¦ 270K Β· π 2.9K - 51% open Β· β±οΈ 03.06.2024):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 260 Β· π 2.5K Β· π¦ 300K Β· π 3K - 17% open Β· β±οΈ 29.08.2024):
```
git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/plotly) (π₯ 16M / month Β· π¦ 5.6K Β· β±οΈ 01.05.2024):
+- [PyPi](https://pypi.org/project/plotly) (π₯ 18M / month Β· π¦ 6.1K Β· β±οΈ 29.08.2024):
```
pip install plotly
```
-- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 6M Β· β±οΈ 04.05.2024):
+- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 6.8M Β· β±οΈ 30.08.2024):
```
conda install -c conda-forge plotly
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 14K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
+- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 5.7K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
```
npm install plotlywidget
```
Seaborn (π₯43 Β· β 12K) - Statistical data visualization in Python. BSD-3
+dash (π₯42 Β· β 21K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 210 Β· π 1.9K Β· π₯ 390 Β· π¦ 420K Β· π 2.5K - 5% open Β· β±οΈ 25.04.2024):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 160 Β· π 2K Β· π₯ 76 Β· π¦ 68K Β· π 1.8K - 25% open Β· β±οΈ 04.09.2024):
```
- git clone https://github.com/mwaskom/seaborn
+ git clone https://github.com/plotly/dash
```
-- [PyPi](https://pypi.org/project/seaborn) (π₯ 17M / month Β· π¦ 9.7K Β· β±οΈ 25.01.2024):
+- [PyPi](https://pypi.org/project/dash) (π₯ 3.2M / month Β· π¦ 1.3K Β· β±οΈ 04.09.2024):
```
- pip install seaborn
+ pip install dash
```
-- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 8.9M Β· β±οΈ 30.04.2024):
+- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.5M Β· β±οΈ 05.09.2024):
```
- conda install -c conda-forge seaborn
+ conda install -c conda-forge dash
```
dash (π₯41 Β· β 21K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
+Seaborn (π₯42 Β· β 12K) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/plotly/dash) (π¨βπ» 160 Β· π 2K Β· π₯ 72 Β· π¦ 64K Β· π 1.8K - 46% open Β· β±οΈ 03.06.2024):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 210 Β· π 1.9K Β· π₯ 420 Β· π¦ 460K Β· π 2.6K - 6% open Β· β±οΈ 22.07.2024):
```
- git clone https://github.com/plotly/dash
+ git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/dash) (π₯ 2.9M / month Β· π¦ 1.2K Β· β±οΈ 03.05.2024):
+- [PyPi](https://pypi.org/project/seaborn) (π₯ 18M / month Β· π¦ 11K Β· β±οΈ 25.01.2024):
```
- pip install dash
+ pip install seaborn
```
-- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.3M Β· β±οΈ 04.05.2024):
+- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 10M Β· β±οΈ 30.04.2024):
```
- conda install -c conda-forge dash
+ conda install -c conda-forge seaborn
```
Altair (π₯41 Β· β 9K) - Declarative statistical visualization library for Python. BSD-3
+Altair (π₯42 Β· β 9.2K) - Declarative statistical visualization library for Python. BSD-3
-- [GitHub](https://github.com/vega/altair) (π¨βπ» 160 Β· π 760 Β· π₯ 120 Β· π¦ 140K Β· π 2K - 8% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/vega/altair) (π¨βπ» 170 Β· π 780 Β· π₯ 170 Β· π¦ 160K Β· π 2K - 8% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/altair-viz/altair
```
-- [PyPi](https://pypi.org/project/altair) (π₯ 24M / month Β· π¦ 770 Β· β±οΈ 30.03.2024):
+- [PyPi](https://pypi.org/project/altair) (π₯ 22M / month Β· π¦ 840 Β· β±οΈ 27.08.2024):
```
pip install altair
```
-- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 2.3M Β· β±οΈ 30.03.2024):
+- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 2.4M Β· β±οΈ 27.08.2024):
```
conda install -c conda-forge altair
```
pandas-profiling (π₯38 Β· β 12K) - 1 Line of code data quality profiling & exploratory.. MIT 
+pyecharts (π₯38 Β· β 15K) - Python Echarts Plotting Library. MIT
-- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 120 Β· π 1.6K Β· π₯ 100 Β· π¦ 3.3K Β· π 780 - 28% open Β· β±οΈ 31.05.2024):
+- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 44 Β· π 2.8K Β· π₯ 68 Β· π¦ 4.4K Β· π 1.9K - 0% open Β· β±οΈ 20.06.2024):
```
- git clone https://github.com/ydataai/pandas-profiling
- ```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 820K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
- ```
- pip install pandas-profiling
+ git clone https://github.com/pyecharts/pyecharts
```
-- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 430K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 130K / month Β· π¦ 210 Β· β±οΈ 20.06.2024):
```
- conda install -c conda-forge pandas-profiling
+ pip install pyecharts
```
HoloViews (π₯38 Β· β 2.6K) - With Holoviews, your data visualizes itself. BSD-3
+PyVista (π₯38 Β· β 2.6K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 390 Β· π¦ 11K Β· π 3.3K - 33% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 160 Β· π 470 Β· π₯ 810 Β· π¦ 3.4K Β· π 1.7K - 34% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/holoviz/holoviews
- ```
-- [PyPi](https://pypi.org/project/holoviews) (π₯ 490K / month Β· π¦ 360 Β· β±οΈ 23.05.2024):
- ```
- pip install holoviews
+ git clone https://github.com/pyvista/pyvista
```
-- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 1.6M Β· β±οΈ 12.02.2024):
+- [PyPi](https://pypi.org/project/pyvista) (π₯ 270K / month Β· π¦ 530 Β· β±οΈ 20.07.2024):
```
- conda install -c conda-forge holoviews
+ pip install pyvista
```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 200 / month Β· π¦ 5 Β· β±οΈ 22.03.2024):
+- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 540K Β· β±οΈ 20.07.2024):
```
- npm install @pyviz/jupyterlab_pyviz
+ conda install -c conda-forge pyvista
```
plotnine (π₯37 Β· β 3.9K Β· π) - A Grammar of Graphics for Python. MIT
+pandas-profiling (π₯37 Β· β 12K) - 1 Line of code data quality profiling & exploratory.. MIT
-- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 200 Β· π¦ 7.8K Β· π 640 - 11% open Β· β±οΈ 30.05.2024):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 130 Β· π 1.7K Β· π₯ 150 Β· π¦ 4K Β· π 800 - 28% open Β· β±οΈ 03.09.2024):
```
- git clone https://github.com/has2k1/plotnine
+ git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/plotnine) (π₯ 3.3M / month Β· π¦ 260 Β· β±οΈ 09.05.2024):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 330K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
```
- pip install plotnine
+ pip install pandas-profiling
```
-- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 370K Β· β±οΈ 10.05.2024):
+- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 460K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge plotnine
+ conda install -c conda-forge pandas-profiling
```
PyQtGraph (π₯37 Β· β 3.7K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
+PyQtGraph (π₯37 Β· β 3.8K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 280 Β· π 1.1K Β· π¦ 9.6K Β· π 1.3K - 30% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 290 Β· π 1.1K Β· π¦ 10K Β· π 1.3K - 31% open Β· β±οΈ 22.08.2024):
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
-- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 230K / month Β· π¦ 940 Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 270K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
```
pip install pyqtgraph
```
-- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (π₯ 540K Β· β±οΈ 02.05.2024):
+- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (π₯ 590K Β· β±οΈ 02.05.2024):
```
conda install -c conda-forge pyqtgraph
```
Graphviz (π₯37 Β· β 1.6K) - Simple Python interface for Graphviz. MIT
+HoloViews (π₯37 Β· β 2.7K) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 67K Β· π 180 - 7% open Β· β±οΈ 13.05.2024):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 400 Β· π¦ 12K Β· π 3.3K - 33% open Β· β±οΈ 29.08.2024):
```
- git clone https://github.com/xflr6/graphviz
- ```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 12M / month Β· π¦ 2.4K Β· β±οΈ 21.03.2024):
- ```
- pip install graphviz
+ git clone https://github.com/holoviz/holoviews
```
-- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 46K Β· β±οΈ 08.04.2024):
+- [PyPi](https://pypi.org/project/holoviews) (π₯ 640K / month Β· π¦ 380 Β· β±οΈ 31.07.2024):
```
- conda install -c anaconda python-graphviz
+ pip install holoviews
```
-pyecharts (π₯36 Β· β 15K) - Python Echarts Plotting Library. MIT
-
-- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 43 Β· π 2.8K Β· π₯ 58 Β· π¦ 4.2K Β· π 1.9K - 0% open Β· β±οΈ 06.06.2024):
-
+- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 1.7M Β· β±οΈ 07.07.2024):
```
- git clone https://github.com/pyecharts/pyecharts
+ conda install -c conda-forge holoviews
```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 210K / month Β· π¦ 190 Β· β±οΈ 03.03.2024):
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 180 / month Β· π¦ 5 Β· β±οΈ 01.08.2024):
```
- pip install pyecharts
+ npm install @pyviz/jupyterlab_pyviz
```
PyVista (π₯36 Β· β 2.4K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
+FiftyOne (π₯35 Β· β 8.1K) - Visualize, create, and debug image and video datasets.. Apache-2
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 160 Β· π 440 Β· π₯ 800 Β· π¦ 3K Β· π 1.6K - 34% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 130 Β· π 540 Β· π¦ 680 Β· π 1.6K - 33% open Β· β±οΈ 04.09.2024):
```
- git clone https://github.com/pyvista/pyvista
- ```
-- [PyPi](https://pypi.org/project/pyvista) (π₯ 280K / month Β· π¦ 490 Β· β±οΈ 06.06.2024):
- ```
- pip install pyvista
+ git clone https://github.com/voxel51/fiftyone
```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 490K Β· β±οΈ 06.06.2024):
+- [PyPi](https://pypi.org/project/fiftyone) (π₯ 120K / month Β· π¦ 20 Β· β±οΈ 20.08.2024):
```
- conda install -c conda-forge pyvista
+ pip install fiftyone
```
FiftyOne (π₯35 Β· β 6.9K) - Visualize, create, and debug image and video datasets.. Apache-2
+plotnine (π₯35 Β· β 4K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 120 Β· π 510 Β· π¦ 590 Β· π 1.5K - 32% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 210 Β· π¦ 8.6K Β· π 670 - 13% open Β· β±οΈ 01.08.2024):
```
- git clone https://github.com/voxel51/fiftyone
+ git clone https://github.com/has2k1/plotnine
```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 51K / month Β· π¦ 18 Β· β±οΈ 29.05.2024):
+- [PyPi](https://pypi.org/project/plotnine) (π₯ 2.8M / month Β· π¦ 300 Β· β±οΈ 09.05.2024):
```
- pip install fiftyone
+ pip install plotnine
+ ```
+- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 390K Β· β±οΈ 10.05.2024):
+ ```
+ conda install -c conda-forge plotnine
```
VisPy (π₯35 Β· β 3.2K) - High-performance interactive 2D/3D data visualization library. BSD-3
+VisPy (π₯35 Β· β 3.3K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 1.5K Β· π 1.5K - 23% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 1.7K Β· π 1.5K - 24% open Β· β±οΈ 27.08.2024):
```
git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/vispy) (π₯ 90K / month Β· π¦ 150 Β· β±οΈ 14.03.2024):
+- [PyPi](https://pypi.org/project/vispy) (π₯ 180K / month Β· π¦ 170 Β· β±οΈ 17.06.2024):
```
pip install vispy
```
-- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 500K Β· β±οΈ 17.05.2024):
+- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 590K Β· β±οΈ 04.09.2024):
```
conda install -c conda-forge vispy
```
-- [npm](https://www.npmjs.com/package/vispy) (π₯ 13 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
+- [npm](https://www.npmjs.com/package/vispy) (π₯ 8 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
```
npm install vispy
```
cartopy (π₯35 Β· β 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
+UMAP (π₯34 Β· β 7.3K) - Uniform Manifold Approximation and Projection. BSD-3
-- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 130 Β· π 360 Β· π¦ 5K Β· π 1.3K - 24% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 130 Β· π 800 Β· π¦ 1 Β· π 810 - 58% open Β· β±οΈ 18.08.2024):
```
- git clone https://github.com/SciTools/cartopy
+ git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/cartopy) (π₯ 220K / month Β· π¦ 590 Β· β±οΈ 10.04.2024):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.4M / month Β· π¦ 960 Β· β±οΈ 03.04.2024):
```
- pip install cartopy
+ pip install umap-learn
```
-- [Conda](https://anaconda.org/conda-forge/cartopy) (π₯ 3.6M Β· β±οΈ 16.05.2024):
+- [Conda](https://anaconda.org/conda-forge/umap-learn) (π₯ 2.6M Β· β±οΈ 14.08.2024):
```
- conda install -c conda-forge cartopy
+ conda install -c conda-forge umap-learn
```
datashader (π₯34 Β· β 3.2K) - Quickly and accurately render even the largest data. BSD-3
+Graphviz (π₯34 Β· β 1.6K Β· π) - Simple Python interface for Graphviz. MIT
-- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 55 Β· π 360 Β· π¦ 4.2K Β· π 580 - 23% open Β· β±οΈ 31.05.2024):
+- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 72K Β· π 180 - 7% open Β· β±οΈ 13.05.2024):
```
- git clone https://github.com/holoviz/datashader
+ git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/datashader) (π₯ 120K / month Β· π¦ 180 Β· β±οΈ 31.05.2024):
+- [PyPi](https://pypi.org/project/graphviz) (π₯ 13M / month Β· π¦ 2.6K Β· β±οΈ 21.03.2024):
```
- pip install datashader
+ pip install graphviz
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 910K Β· β±οΈ 31.05.2024):
+- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 49K Β· β±οΈ 08.04.2024):
```
- conda install -c conda-forge datashader
+ conda install -c anaconda python-graphviz
```
UMAP (π₯33 Β· β 7.1K) - Uniform Manifold Approximation and Projection. BSD-3
+cartopy (π₯34 Β· β 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
-- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 130 Β· π 760 Β· π¦ 1 Β· π 790 - 57% open Β· β±οΈ 25.04.2024):
+- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 130 Β· π 360 Β· π¦ 5.5K Β· π 1.3K - 24% open Β· β±οΈ 03.09.2024):
```
- git clone https://github.com/lmcinnes/umap
+ git clone https://github.com/SciTools/cartopy
```
-- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.4M / month Β· π¦ 830 Β· β±οΈ 03.04.2024):
+- [PyPi](https://pypi.org/project/cartopy) (π₯ 300K / month Β· π¦ 680 Β· β±οΈ 10.04.2024):
```
- pip install umap-learn
+ pip install cartopy
```
-- [Conda](https://anaconda.org/conda-forge/umap-learn) (π₯ 2.4M Β· β±οΈ 04.02.2024):
+- [Conda](https://anaconda.org/conda-forge/cartopy) (π₯ 4M Β· β±οΈ 16.05.2024):
```
- conda install -c conda-forge umap-learn
+ conda install -c conda-forge cartopy
```
wordcloud (π₯32 Β· β 10K Β· π) - A little word cloud generator in Python. MIT
+wordcloud (π₯33 Β· β 10K Β· π€) - A little word cloud generator in Python. MIT
-- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 72 Β· π 2.3K Β· π¦ 21 Β· π 540 - 22% open Β· β±οΈ 09.12.2023):
+- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 72 Β· π 2.3K Β· π¦ 21 Β· π 540 - 23% open Β· β±οΈ 09.12.2023):
```
git clone https://github.com/amueller/word_cloud
```
-- [PyPi](https://pypi.org/project/wordcloud) (π₯ 2M / month Β· π¦ 500 Β· β±οΈ 09.12.2023):
+- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.4M / month Β· π¦ 520 Β· β±οΈ 09.12.2023):
```
pip install wordcloud
```
-- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 490K Β· β±οΈ 19.03.2024):
+- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 530K Β· β±οΈ 19.03.2024):
```
conda install -c conda-forge wordcloud
```
Perspective (π₯31 Β· β 7.7K) - A data visualization and analytics component, especially.. Apache-2
+Perspective (π₯33 Β· β 8.3K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 93 Β· π 1K Β· π₯ 2.9K Β· π¦ 120 Β· π 760 - 13% open Β· β±οΈ 29.05.2024):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 94 Β· π 1.1K Β· π₯ 3.8K Β· π¦ 140 Β· π 790 - 12% open Β· β±οΈ 03.09.2024):
```
git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 5.9K / month Β· π¦ 22 Β· β±οΈ 23.05.2024):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 8.1K / month Β· π¦ 24 Β· β±οΈ 03.09.2024):
```
pip install perspective-python
```
-- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 650K Β· β±οΈ 23.05.2024):
+- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 1.1M Β· β±οΈ 24.08.2024):
```
conda install -c conda-forge perspective
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 3.8K / month Β· π¦ 6 Β· β±οΈ 23.05.2024):
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 3.8K / month Β· π¦ 6 Β· β±οΈ 03.09.2024):
```
npm install @finos/perspective-jupyterlab
```
lets-plot (π₯31 Β· β 1.5K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
+datashader (π₯33 Β· β 3.3K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 20 Β· π 47 Β· π₯ 720 Β· π¦ 79 Β· π 560 - 24% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 56 Β· π 360 Β· π¦ 4.7K Β· π 580 - 23% open Β· β±οΈ 08.08.2024):
```
- git clone https://github.com/JetBrains/lets-plot
+ git clone https://github.com/holoviz/datashader
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 19K / month Β· π¦ 13 Β· β±οΈ 29.05.2024):
+- [PyPi](https://pypi.org/project/datashader) (π₯ 110K / month Β· π¦ 190 Β· β±οΈ 04.07.2024):
```
- pip install lets-plot
+ pip install datashader
```
-hvPlot (π₯31 Β· β 980) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
-
-- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 46 Β· π 99 Β· π¦ 5.1K Β· π 760 - 44% open Β· β±οΈ 06.05.2024):
-
+- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 1.1M Β· β±οΈ 08.07.2024):
```
- git clone https://github.com/holoviz/hvplot
+ conda install -c conda-forge datashader
```
-- [PyPi](https://pypi.org/project/hvplot) (π₯ 240K / month Β· π¦ 170 Β· β±οΈ 06.05.2024):
+lets-plot (π₯31 Β· β 1.5K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
+
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 49 Β· π₯ 930 Β· π¦ 120 Β· π 590 - 23% open Β· β±οΈ 04.09.2024):
+
```
- pip install hvplot
+ git clone https://github.com/JetBrains/lets-plot
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 580K Β· β±οΈ 07.05.2024):
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 19K / month Β· π¦ 13 Β· β±οΈ 21.08.2024):
```
- conda install -c conda-forge hvplot
+ pip install lets-plot
```
D-Tale (π₯30 Β· β 4.6K) - Visualizer for pandas data structures. βοΈLGPL-2.1
+hvPlot (π₯31 Β· β 1.1K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
-- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 380 Β· π¦ 1.1K Β· π 580 - 10% open Β· β±οΈ 30.04.2024):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 47 Β· π 100 Β· π¦ 5.7K Β· π 800 - 44% open Β· β±οΈ 29.08.2024):
```
- git clone https://github.com/man-group/dtale
+ git clone https://github.com/holoviz/hvplot
```
-- [PyPi](https://pypi.org/project/dtale) (π₯ 73K / month Β· π¦ 39 Β· β±οΈ 30.04.2024):
+- [PyPi](https://pypi.org/project/hvplot) (π₯ 230K / month Β· π¦ 190 Β· β±οΈ 23.07.2024):
```
- pip install dtale
+ pip install hvplot
```
-- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 290K Β· β±οΈ 30.04.2024):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 630K Β· β±οΈ 07.05.2024):
```
- conda install -c conda-forge dtale
+ conda install -c conda-forge hvplot
```
bqplot (π₯30 Β· β 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2
+D-Tale (π₯30 Β· β 4.7K) - Visualizer for pandas data structures. βοΈLGPL-2.1
-- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 64 Β· π 460 Β· π¦ 55 Β· π 620 - 41% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 390 Β· π¦ 1.2K Β· π 590 - 10% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/bqplot/bqplot
- ```
-- [PyPi](https://pypi.org/project/bqplot) (π₯ 120K / month Β· π¦ 92 Β· β±οΈ 25.03.2024):
- ```
- pip install bqplot
+ git clone https://github.com/man-group/dtale
```
-- [Conda](https://anaconda.org/conda-forge/bqplot) (π₯ 1.3M Β· β±οΈ 19.02.2024):
+- [PyPi](https://pypi.org/project/dtale) (π₯ 38K / month Β· π¦ 43 Β· β±οΈ 28.06.2024):
```
- conda install -c conda-forge bqplot
+ pip install dtale
```
-- [npm](https://www.npmjs.com/package/bqplot) (π₯ 3K / month Β· π¦ 21 Β· β±οΈ 25.03.2024):
+- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 330K Β· β±οΈ 28.06.2024):
```
- npm install bqplot
+ conda install -c conda-forge dtale
```
mpld3 (π₯30 Β· β 2.3K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3
+mpld3 (π₯29 Β· β 2.3K Β· π€) - An interactive data visualization tool which brings matplotlib.. BSD-3
-- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 52 Β· π 360 Β· π¦ 6.1K Β· π 360 - 59% open Β· β±οΈ 23.12.2023):
+- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 52 Β· π 360 Β· π¦ 6.4K Β· π 360 - 59% open Β· β±οΈ 23.12.2023):
```
git clone https://github.com/mpld3/mpld3
```
-- [PyPi](https://pypi.org/project/mpld3) (π₯ 530K / month Β· π¦ 130 Β· β±οΈ 23.12.2023):
+- [PyPi](https://pypi.org/project/mpld3) (π₯ 320K / month Β· π¦ 140 Β· β±οΈ 23.12.2023):
```
pip install mpld3
```
-- [Conda](https://anaconda.org/conda-forge/mpld3) (π₯ 200K Β· β±οΈ 23.12.2023):
+- [Conda](https://anaconda.org/conda-forge/mpld3) (π₯ 210K Β· β±οΈ 23.12.2023):
```
conda install -c conda-forge mpld3
```
-- [npm](https://www.npmjs.com/package/mpld3) (π₯ 790 / month Β· π¦ 9 Β· β±οΈ 23.12.2023):
+- [npm](https://www.npmjs.com/package/mpld3) (π₯ 1K / month Β· π¦ 9 Β· β±οΈ 23.12.2023):
```
npm install mpld3
```
data-validation (π₯30 Β· β 750) - Library for exploring and validating machine learning.. Apache-2
+bqplot (π₯28 Β· β 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2
-- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 26 Β· π 170 Β· π₯ 650 Β· π¦ 900 Β· π 180 - 20% open Β· β±οΈ 03.06.2024):
+- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 65 Β· π 460 Β· π¦ 58 Β· π 630 - 41% open Β· β±οΈ 03.09.2024):
```
- git clone https://github.com/tensorflow/data-validation
+ git clone https://github.com/bqplot/bqplot
```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 200K / month Β· π¦ 31 Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/bqplot) (π₯ 140K / month Β· π¦ 98 Β· β±οΈ 25.03.2024):
```
- pip install tensorflow-data-validation
+ pip install bqplot
+ ```
+- [Conda](https://anaconda.org/conda-forge/bqplot) (π₯ 1.4M Β· β±οΈ 19.02.2024):
+ ```
+ conda install -c conda-forge bqplot
+ ```
+- [npm](https://www.npmjs.com/package/bqplot) (π₯ 2.5K / month Β· π¦ 21 Β· β±οΈ 25.03.2024):
+ ```
+ npm install bqplot
```
AutoViz (π₯28 Β· β 1.7K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
+openTSNE (π₯28 Β· β 1.4K) - Extensible, parallel implementations of t-SNE. BSD-3
-- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 17 Β· π 200 Β· π¦ 690 Β· π 92 - 2% open Β· β±οΈ 29.04.2024):
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 12 Β· π 160 Β· π¦ 860 Β· π 140 - 3% open Β· β±οΈ 13.08.2024):
```
- git clone https://github.com/AutoViML/AutoViz
+ git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/autoviz) (π₯ 40K / month Β· π¦ 7 Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 38K / month Β· π¦ 47 Β· β±οΈ 13.08.2024):
```
- pip install autoviz
+ pip install opentsne
```
-- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 52K Β· β±οΈ 26.04.2024):
+- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 300K Β· β±οΈ 19.05.2024):
```
- conda install -c conda-forge autoviz
+ conda install -c conda-forge opentsne
```
Sweetviz (π₯26 Β· β 2.8K Β· π€) - Visualize and compare datasets, target values and associations, with.. MIT
+Sweetviz (π₯27 Β· β 2.9K Β· π€) - Visualize and compare datasets, target values and associations, with.. MIT
-- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 11 Β· π 260 Β· π¦ 2.3K Β· π 130 - 27% open Β· β±οΈ 29.11.2023):
+- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 11 Β· π 270 Β· π¦ 2.4K Β· π 140 - 29% open Β· β±οΈ 29.11.2023):
```
git clone https://github.com/fbdesignpro/sweetviz
```
-- [PyPi](https://pypi.org/project/sweetviz) (π₯ 67K / month Β· π¦ 29 Β· β±οΈ 29.11.2023):
+- [PyPi](https://pypi.org/project/sweetviz) (π₯ 71K / month Β· π¦ 30 Β· β±οΈ 29.11.2023):
```
pip install sweetviz
```
-- [Conda](https://anaconda.org/conda-forge/sweetviz) (π₯ 30K Β· β±οΈ 04.12.2023):
+- [Conda](https://anaconda.org/conda-forge/sweetviz) (π₯ 33K Β· β±οΈ 04.12.2023):
```
conda install -c conda-forge sweetviz
```
HyperTools (π₯26 Β· β 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
+data-validation (π₯26 Β· β 760 Β· π) - Library for exploring and validating machine learning.. Apache-2
-- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 22 Β· π 160 Β· π₯ 36 Β· π¦ 420 Β· π 200 - 33% open Β· β±οΈ 19.03.2024):
+- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 26 Β· π 170 Β· π₯ 760 Β· π 180 - 20% open Β· β±οΈ 04.09.2024):
```
- git clone https://github.com/ContextLab/hypertools
+ git clone https://github.com/tensorflow/data-validation
```
-- [PyPi](https://pypi.org/project/hypertools) (π₯ 760 / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 210K / month Β· π¦ 31 Β· β±οΈ 24.04.2024):
```
- pip install hypertools
+ pip install tensorflow-data-validation
```
openTSNE (π₯26 Β· β 1.4K) - Extensible, parallel implementations of t-SNE. BSD-3
+HyperTools (π₯25 Β· β 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 12 Β· π 160 Β· π¦ 810 Β· π 130 - 3% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 22 Β· π 160 Β· π₯ 41 Β· π¦ 470 Β· π 200 - 33% open Β· β±οΈ 19.03.2024):
```
- git clone https://github.com/pavlin-policar/openTSNE
- ```
-- [PyPi](https://pypi.org/project/opentsne) (π₯ 39K / month Β· π¦ 43 Β· β±οΈ 29.11.2023):
- ```
- pip install opentsne
+ git clone https://github.com/ContextLab/hypertools
```
-- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 260K Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/hypertools) (π₯ 650 / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
```
- conda install -c conda-forge opentsne
+ pip install hypertools
```
Plotly-Resampler (π₯26 Β· β 970) - Visualize large time series data with plotly.py. MIT
+AutoViz (π₯25 Β· β 1.7K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
-- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 12 Β· π 63 Β· π¦ 1.1K Β· π 160 - 28% open Β· β±οΈ 27.03.2024):
+- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 17 Β· π 200 Β· π¦ 740 Β· π 94 - 3% open Β· β±οΈ 10.06.2024):
```
- git clone https://github.com/predict-idlab/plotly-resampler
+ git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 400K / month Β· π¦ 22 Β· β±οΈ 27.03.2024):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 57K / month Β· π¦ 11 Β· β±οΈ 10.06.2024):
```
- pip install plotly-resampler
+ pip install autoviz
```
-- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 43K Β· β±οΈ 29.03.2024):
+- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 62K Β· β±οΈ 26.04.2024):
```
- conda install -c conda-forge plotly-resampler
+ conda install -c conda-forge autoviz
```
Chartify (π₯25 Β· β 3.5K Β· π€) - Python library that makes it easy for data scientists to create.. Apache-2
+Chartify (π₯24 Β· β 3.5K Β· π€) - Python library that makes it easy for data scientists to create.. Apache-2
-- [GitHub](https://github.com/spotify/chartify) (π¨βπ» 25 Β· π 310 Β· π¦ 76 Β· π 80 - 60% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/spotify/chartify) (π¨βπ» 25 Β· π 320 Β· π¦ 78 Β· π 83 - 61% open Β· β±οΈ 12.10.2023):
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 26K / month Β· π¦ 9 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 2.2K / month Β· π¦ 9 Β· β±οΈ 12.10.2023):
```
pip install chartify
```
-- [Conda](https://anaconda.org/conda-forge/chartify) (π₯ 31K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/chartify) (π₯ 32K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge chartify
```
HiPlot (π₯24 Β· β 2.7K Β· π€) - HiPlot makes understanding high dimensional data easy. MIT
+Plotly-Resampler (π₯24 Β· β 1K) - Visualize large time series data with plotly.py. MIT
-- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 9 Β· π 140 Β· π¦ 410 Β· π 93 - 21% open Β· β±οΈ 19.07.2023):
+- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 12 Β· π 67 Β· π¦ 1.4K Β· π 170 - 30% open Β· β±οΈ 24.08.2024):
```
- git clone https://github.com/facebookresearch/hiplot
+ git clone https://github.com/predict-idlab/plotly-resampler
```
-- [PyPi](https://pypi.org/project/hiplot) (π₯ 19K / month Β· π¦ 26 Β· β±οΈ 05.07.2022):
+- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 330K / month Β· π¦ 24 Β· β±οΈ 27.03.2024):
```
- pip install hiplot
+ pip install plotly-resampler
```
-- [Conda](https://anaconda.org/conda-forge/hiplot) (π₯ 190K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 63K Β· β±οΈ 29.03.2024):
```
- conda install -c conda-forge hiplot
+ conda install -c conda-forge plotly-resampler
```
python-ternary (π₯24 Β· β 710) - Ternary plotting library for python with matplotlib. MIT
+Multicore-TSNE (π₯23 Β· β 1.9K Β· π€) - Parallel t-SNE implementation with Python and Torch.. BSD-3
-- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 27 Β· π 160 Β· π₯ 25 Β· π¦ 170 Β· π 140 - 24% open Β· β±οΈ 07.03.2024):
+- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (π¨βπ» 18 Β· π 230 Β· π¦ 460 Β· π 69 - 65% open Β· β±οΈ 06.02.2024):
```
- git clone https://github.com/marcharper/python-ternary
+ git clone https://github.com/DmitryUlyanov/Multicore-TSNE
```
-- [PyPi](https://pypi.org/project/python-ternary) (π₯ 35K / month Β· π¦ 30 Β· β±οΈ 17.02.2021):
+- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 1.9K / month Β· π¦ 22 Β· β±οΈ 09.01.2019):
```
- pip install python-ternary
+ pip install MulticoreTSNE
```
-- [Conda](https://anaconda.org/conda-forge/python-ternary) (π₯ 82K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 48K Β· β±οΈ 11.10.2023):
```
- conda install -c conda-forge python-ternary
+ conda install -c conda-forge multicore-tsne
```
Multicore-TSNE (π₯23 Β· β 1.9K) - Parallel t-SNE implementation with Python and Torch.. BSD-3
+python-ternary (π₯23 Β· β 720) - Ternary plotting library for python with matplotlib. MIT
-- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (π¨βπ» 18 Β· π 230 Β· π¦ 450 Β· π 69 - 65% open Β· β±οΈ 06.02.2024):
+- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 28 Β· π 160 Β· π₯ 30 Β· π¦ 180 Β· π 140 - 24% open Β· β±οΈ 12.06.2024):
```
- git clone https://github.com/DmitryUlyanov/Multicore-TSNE
+ git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 2.6K / month Β· π¦ 22 Β· β±οΈ 09.01.2019):
+- [PyPi](https://pypi.org/project/python-ternary) (π₯ 16K / month Β· π¦ 32 Β· β±οΈ 17.02.2021):
```
- pip install MulticoreTSNE
+ pip install python-ternary
```
-- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 37K Β· β±οΈ 11.10.2023):
+- [Conda](https://anaconda.org/conda-forge/python-ternary) (π₯ 88K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge multicore-tsne
+ conda install -c conda-forge python-ternary
```
vega (π₯21 Β· β 370) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
+vega (π₯22 Β· β 370) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
-- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 65 Β· π¦ 4 Β· π 110 - 19% open Β· β±οΈ 01.05.2024):
+- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 65 Β· π¦ 4 Β· π 110 - 18% open Β· β±οΈ 01.09.2024):
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (π₯ 21K / month Β· π¦ 14 Β· β±οΈ 12.04.2023):
+- [PyPi](https://pypi.org/project/vega) (π₯ 11K / month Β· π¦ 15 Β· β±οΈ 12.04.2023):
```
pip install vega
```
-- [Conda](https://anaconda.org/conda-forge/vega) (π₯ 600K Β· β±οΈ 18.05.2024):
+- [Conda](https://anaconda.org/conda-forge/vega) (π₯ 640K Β· β±οΈ 18.05.2024):
```
conda install -c conda-forge vega
```
PDPbox (π₯20 Β· β 830 Β· π€) - python partial dependence plot toolbox. MIT
+PyWaffle (π₯20 Β· β 580) - Make Waffle Charts in Python. MIT
-- [GitHub](https://github.com/SauceCat/PDPbox) (π¨βπ» 7 Β· π 130 Β· π 67 - 41% open Β· β±οΈ 05.06.2023):
+- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 100 Β· π¦ 400 Β· π 22 - 27% open Β· β±οΈ 16.06.2024):
```
- git clone https://github.com/SauceCat/PDPbox
+ git clone https://github.com/gyli/PyWaffle
```
-- [PyPi](https://pypi.org/project/pdpbox) (π₯ 21K / month Β· π¦ 26 Β· β±οΈ 14.03.2021):
+- [PyPi](https://pypi.org/project/pywaffle) (π₯ 5.6K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
```
- pip install pdpbox
+ pip install pywaffle
```
-- [Conda](https://anaconda.org/conda-forge/pdpbox) (π₯ 21K Β· β±οΈ 10.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pywaffle) (π₯ 13K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge pdpbox
+ conda install -c conda-forge pywaffle
```
Popmon (π₯20 Β· β 490 Β· π€) - Monitor the stability of a Pandas or Spark dataframe. MIT
+animatplot (π₯20 Β· β 410) - A python package for animating plots build on matplotlib. MIT
-- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 17 Β· π 35 Β· π₯ 150 Β· π¦ 20 Β· π 55 - 27% open Β· β±οΈ 18.07.2023):
+- [GitHub](https://github.com/t-makaro/animatplot) (π¨βπ» 7 Β· π 38 Β· π¦ 59 Β· π 37 - 45% open Β· β±οΈ 29.08.2024):
```
- git clone https://github.com/ing-bank/popmon
+ git clone https://github.com/t-makaro/animatplot
+ ```
+- [PyPi](https://pypi.org/project/animatplot) (π₯ 300 / month Β· π¦ 4 Β· β±οΈ 29.08.2024):
+ ```
+ pip install animatplot
```
-- [PyPi](https://pypi.org/project/popmon) (π₯ 10K / month Β· π¦ 2 Β· β±οΈ 18.07.2023):
+- [Conda](https://anaconda.org/conda-forge/animatplot) (π₯ 14K Β· β±οΈ 01.09.2024):
```
- pip install popmon
+ conda install -c conda-forge animatplot
```
ivis (π₯18 Β· β 320 Β· π€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
+ivis (π₯20 Β· β 330) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
-- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 43 Β· π¦ 32 Β· π 60 - 6% open Β· β±οΈ 09.11.2023):
+- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 43 Β· π¦ 35 Β· π 60 - 5% open Β· β±οΈ 13.06.2024):
```
git clone https://github.com/beringresearch/ivis
```
-- [PyPi](https://pypi.org/project/ivis) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 10.03.2022):
+- [PyPi](https://pypi.org/project/ivis) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 13.06.2024):
```
pip install ivis
```
vegafusion (π₯20 Β· β 320) - Serverside scaling for Vega and Altair visualizations. BSD-3
+
+- [GitHub](https://github.com/vega/vegafusion) (π¨βπ» 4 Β· π 18 Β· π₯ 5.8K Β· π 130 - 35% open Β· β±οΈ 14.08.2024):
+
+ ```
+ git clone https://github.com/vegafusion/vegafusion
+ ```
+- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 930 / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
+ ```
+ pip install vegafusion-jupyter
+ ```
+- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (π₯ 220K Β· β±οΈ 10.05.2024):
+ ```
+ conda install -c conda-forge vegafusion-python-embed
+ ```
+- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 140 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
+ ```
+ npm install vegafusion-jupyter
+ ```
+Show 15 hidden projects...
-- missingno (π₯29 Β· β 3.8K Β· π) - Missing data visualization module for Python. MIT
+- missingno (π₯29 Β· β 3.9K Β· π) - Missing data visualization module for Python. MIT
- Cufflinks (π₯29 Β· β 3K Β· π) - Productivity Tools for Plotly + Pandas. MIT Apache-2 BSD-3 MIT βοΈMIT-0 BSD-3 MIT
+- PandasGUI (π₯23 Β· β 3.2K Β· π€) - A GUI for Pandas DataFrames. βοΈMIT-0 MIT MIT MIT
-- vegafusion (π₯21 Β· β 300) - Serverside scaling for Vega and Altair visualizations. BSD-3
-- PyWaffle (π₯20 Β· β 570 Β· π) - Make Waffle Charts in Python. MIT
-- animatplot (π₯18 Β· β 400 Β· π) - A python package for animating plots build on matplotlib. MIT
+- PDPbox (π₯21 Β· β 840 Β· π) - python partial dependence plot toolbox. MIT
+- joypy (π₯21 Β· β 550 Β· π) - Joyplots in Python with matplotlib & pandas. MIT
+- Popmon (π₯20 Β· β 490 Β· π) - Monitor the stability of a Pandas or Spark dataframe. MIT MIT
-- data-describe (π₯15 Β· β 290 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
+- data-describe (π₯15 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- nx-altair (π₯15 Β· β 220 Β· π) - Draw interactive NetworkX graphs with Altair. MIT Apache-2
transformers (π₯52 Β· β 130K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.6K Β· π 25K Β· π¦ 180K Β· π 15K - 7% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.8K Β· π 26K Β· π¦ 210K Β· π 16K - 8% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 29M / month Β· π¦ 5.2K Β· β±οΈ 30.05.2024):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 36M / month Β· π¦ 6.1K Β· β±οΈ 22.08.2024):
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 1.7M Β· β±οΈ 31.05.2024):
+- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 2M Β· β±οΈ 23.08.2024):
```
conda install -c conda-forge transformers
```
spaCy (π₯44 Β· β 29K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
+nltk (π₯45 Β· β 13K Β· π) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+
+- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 460 Β· π 2.9K Β· π¦ 300K Β· π 1.8K - 15% open Β· β±οΈ 04.09.2024):
+
+ ```
+ git clone https://github.com/nltk/nltk
+ ```
+- [PyPi](https://pypi.org/project/nltk) (π₯ 21M / month Β· π¦ 4.6K Β· β±οΈ 18.08.2024):
+ ```
+ pip install nltk
+ ```
+- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.7M Β· β±οΈ 18.08.2024):
+ ```
+ conda install -c conda-forge nltk
+ ```
+spaCy (π₯43 Β· β 30K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 750 Β· π 4.3K Β· π¦ 90K Β· π 5.6K - 2% open Β· β±οΈ 31.05.2024):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 750 Β· π 4.3K Β· π₯ 120 Β· π¦ 98K Β· π 5.6K - 2% open Β· β±οΈ 20.08.2024):
```
git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/spacy) (π₯ 13M / month Β· π¦ 2.4K Β· β±οΈ 05.06.2024):
+- [PyPi](https://pypi.org/project/spacy) (π₯ 12M / month Β· π¦ 2.6K Β· β±οΈ 20.08.2024):
```
pip install spacy
```
-- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 3.5M Β· β±οΈ 05.06.2024):
+- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 4M Β· β±οΈ 29.07.2024):
```
conda install -c conda-forge spacy
```
litellm (π₯42 Β· β 9.5K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s
+litellm (π₯43 Β· β 12K) - Python SDK, Proxy Server to call 100+ LLM APIs using.. MIT o t h e r s
-- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 250 Β· π 1K Β· π₯ 250 Β· π¦ 2K Β· π 2.5K - 23% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 320 Β· π 1.4K Β· π₯ 240 Β· π¦ 3.2K Β· π 3.1K - 17% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/BerriAI/litellm
```
-- [PyPi](https://pypi.org/project/litellm) (π₯ 610K / month Β· π¦ 220 Β· β±οΈ 06.06.2024):
+- [PyPi](https://pypi.org/project/litellm) (π₯ 1.6M / month Β· π¦ 380 Β· β±οΈ 05.09.2024):
```
pip install litellm
```
sentence-transformers (π₯41 Β· β 14K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2
+gensim (π₯41 Β· β 16K) - Topic Modelling for Humans. βοΈLGPL-2.1
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 170 Β· π 2.4K Β· π¦ 35K Β· π 2K - 53% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 460 Β· π 4.4K Β· π₯ 4.7K Β· π¦ 64K Β· π 1.8K - 20% open Β· β±οΈ 10.08.2024):
```
- git clone https://github.com/UKPLab/sentence-transformers
+ git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 4.3M / month Β· π¦ 1.3K Β· β±οΈ 28.05.2024):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 4.2M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
```
- pip install sentence-transformers
+ pip install gensim
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 260K Β· β±οΈ 28.05.2024):
+- [Conda](https://anaconda.org/conda-forge/gensim) (π₯ 1.4M Β· β±οΈ 03.09.2024):
```
- conda install -c conda-forge sentence-transformers
+ conda install -c conda-forge gensim
```
nltk (π₯41 Β· β 13K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+sentence-transformers (π₯41 Β· β 15K) - State-of-the-Art Text Embeddings. Apache-2
-- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 450 Β· π 2.8K Β· π¦ 280K Β· π 1.8K - 15% open Β· β±οΈ 05.04.2024):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 180 Β· π 2.4K Β· π¦ 46K Β· π 2.2K - 54% open Β· β±οΈ 30.08.2024):
```
- git clone https://github.com/nltk/nltk
+ git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 20M / month Β· π¦ 4.3K Β· β±οΈ 20.07.2023):
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 4.9M / month Β· π¦ 1.6K Β· β±οΈ 07.06.2024):
```
- pip install nltk
+ pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.6M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 370K Β· β±οΈ 07.06.2024):
```
- conda install -c conda-forge nltk
+ conda install -c conda-forge sentence-transformers
```
Tokenizers (π₯40 Β· β 8.6K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+Tokenizers (π₯40 Β· β 8.9K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 88 Β· π 740 Β· π₯ 47 Β· π¦ 81K Β· π 960 - 6% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 93 Β· π 760 Β· π₯ 57 Β· π¦ 99K Β· π 980 - 3% open Β· β±οΈ 12.08.2024):
```
git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/tokenizers) (π₯ 26M / month Β· π¦ 750 Β· β±οΈ 17.04.2024):
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 29M / month Β· π¦ 910 Β· β±οΈ 08.08.2024):
```
pip install tokenizers
```
-- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 1.7M Β· β±οΈ 18.04.2024):
+- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 2M Β· β±οΈ 12.08.2024):
```
conda install -c conda-forge tokenizers
```
gensim (π₯39 Β· β 15K) - Topic Modelling for Humans. βοΈLGPL-2.1
-
-- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 450 Β· π 4.3K Β· π₯ 4.6K Β· π¦ 60K Β· π 1.8K - 20% open Β· β±οΈ 02.06.2024):
-
- ```
- git clone https://github.com/RaRe-Technologies/gensim
- ```
-- [PyPi](https://pypi.org/project/gensim) (π₯ 4.7M / month Β· π¦ 1.3K Β· β±οΈ 24.08.2023):
- ```
- pip install gensim
- ```
-- [Conda](https://anaconda.org/conda-forge/gensim) (π₯ 1.3M Β· β±οΈ 08.02.2024):
- ```
- conda install -c conda-forge gensim
- ```
-Rasa (π₯38 Β· β 18K) - Open source machine learning framework to automate text- and voice-.. Apache-2
+Rasa (π₯39 Β· β 19K) - Open source machine learning framework to automate text- and voice-.. Apache-2
-- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 590 Β· π 4.5K Β· π¦ 4.2K Β· π 6.8K - 1% open Β· β±οΈ 21.03.2024):
+- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 600 Β· π 4.6K Β· π¦ 4.4K Β· π 6.8K - 1% open Β· β±οΈ 21.03.2024):
```
git clone https://github.com/RasaHQ/rasa
```
-- [PyPi](https://pypi.org/project/rasa) (π₯ 120K / month Β· π¦ 59 Β· β±οΈ 18.04.2024):
+- [PyPi](https://pypi.org/project/rasa) (π₯ 140K / month Β· π¦ 60 Β· β±οΈ 18.04.2024):
```
pip install rasa
```
sentencepiece (π₯38 Β· β 9.7K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+flair (π₯39 Β· β 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
-- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 88 Β· π 1.1K Β· π₯ 38K Β· π¦ 67K Β· π 720 - 3% open Β· β±οΈ 04.06.2024):
+- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 270 Β· π 2.1K Β· π¦ 3.5K Β· π 2.3K - 4% open Β· β±οΈ 30.08.2024):
```
- git clone https://github.com/google/sentencepiece
+ git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 21M / month Β· π¦ 1.5K Β· β±οΈ 19.02.2024):
+- [PyPi](https://pypi.org/project/flair) (π₯ 86K / month Β· π¦ 140 Β· β±οΈ 25.07.2024):
```
- pip install sentencepiece
+ pip install flair
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 820K Β· β±οΈ 27.05.2024):
+- [Conda](https://anaconda.org/conda-forge/python-flair) (π₯ 30K Β· β±οΈ 05.01.2024):
```
- conda install -c conda-forge sentencepiece
+ conda install -c conda-forge python-flair
```
flair (π₯37 Β· β 14K Β· π) - A very simple framework for state-of-the-art Natural Language.. MIT
+sentencepiece (π₯38 Β· β 10K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 260 Β· π 2.1K Β· π¦ 3.3K Β· π 2.3K - 3% open Β· β±οΈ 24.05.2024):
+- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 89 Β· π 1.2K Β· π₯ 41K Β· π¦ 76K Β· π 740 - 4% open Β· β±οΈ 18.08.2024):
```
- git clone https://github.com/flairNLP/flair
+ git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/flair) (π₯ 290K / month Β· π¦ 130 Β· β±οΈ 18.12.2023):
+- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 22M / month Β· π¦ 1.7K Β· β±οΈ 19.02.2024):
```
- pip install flair
+ pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/python-flair) (π₯ 25K Β· β±οΈ 05.01.2024):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 1M Β· β±οΈ 23.08.2024):
```
- conda install -c conda-forge python-flair
+ conda install -c conda-forge sentencepiece
```
TextBlob (π₯37 Β· β 9K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
+TextBlob (π₯37 Β· β 9.1K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
-- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 37 Β· π 1.1K Β· π₯ 120 Β· π¦ 39K Β· π 280 - 39% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 37 Β· π 1.1K Β· π₯ 120 Β· π¦ 42K Β· π 280 - 38% open Β· β±οΈ 07.08.2024):
```
git clone https://github.com/sloria/TextBlob
```
-- [PyPi](https://pypi.org/project/textblob) (π₯ 1.1M / month Β· π¦ 340 Β· β±οΈ 22.10.2021):
+- [PyPi](https://pypi.org/project/textblob) (π₯ 2.1M / month Β· π¦ 370 Β· β±οΈ 15.02.2024):
```
pip install textblob
```
-- [Conda](https://anaconda.org/conda-forge/textblob) (π₯ 250K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/textblob) (π₯ 260K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge textblob
```
haystack (π₯36 Β· β 14K) - LLM orchestration framework to build customizable, production-ready.. Apache-2
+NeMo (π₯36 Β· β 11K) - A scalable generative AI framework built for researchers and.. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 240 Β· π 1.7K Β· π₯ 24 Β· π¦ 290 Β· π 3.3K - 3% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 340 Β· π 2.4K Β· π₯ 230K Β· π¦ 21 Β· π 2.3K - 5% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/deepset-ai/haystack
+ git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/haystack) (π₯ 4.6K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 80K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
```
- pip install haystack
+ pip install nemo-toolkit
```
fairseq (π₯35 Β· β 30K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
-- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 420 Β· π 6.3K Β· π₯ 330 Β· π¦ 3.2K Β· π 4.3K - 29% open Β· β±οΈ 30.05.2024):
+- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 430 Β· π 6.4K Β· π₯ 350 Β· π¦ 3.5K Β· π 4.3K - 29% open Β· β±οΈ 22.07.2024):
```
git clone https://github.com/facebookresearch/fairseq
```
-- [PyPi](https://pypi.org/project/fairseq) (π₯ 270K / month Β· π¦ 110 Β· β±οΈ 27.06.2022):
+- [PyPi](https://pypi.org/project/fairseq) (π₯ 180K / month Β· π¦ 120 Β· β±οΈ 27.06.2022):
```
pip install fairseq
```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 69K Β· β±οΈ 17.05.2024):
+- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 89K Β· β±οΈ 17.05.2024):
```
conda install -c conda-forge fairseq
```
NeMo (π₯35 Β· β 10K) - A scalable generative AI framework built for researchers and.. Apache-2
+fastText (π₯35 Β· β 26K) - Library for fast text representation and classification. MIT
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 320 Β· π 2.2K Β· π₯ 180K Β· π¦ 21 Β· π 2.2K - 6% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 68 Β· π 4.7K Β· π¦ 6.5K Β· π 1.2K - 47% open Β· β±οΈ 13.03.2024):
```
- git clone https://github.com/NVIDIA/NeMo
+ git clone https://github.com/facebookresearch/fastText
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 49K / month Β· π¦ 13 Β· β±οΈ 06.06.2024):
+- [PyPi](https://pypi.org/project/fasttext) (π₯ 1.7M / month Β· π¦ 240 Β· β±οΈ 12.06.2024):
```
- pip install nemo-toolkit
+ pip install fasttext
+ ```
+- [Conda](https://anaconda.org/conda-forge/fasttext) (π₯ 98K Β· β±οΈ 19.05.2024):
+ ```
+ conda install -c conda-forge fasttext
```
OpenNMT (π₯35 Β· β 6.6K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT
+haystack (π₯35 Β· β 17K) - LLM orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.2K Β· π¦ 280 Β· π 1.4K - 1% open Β· β±οΈ 15.05.2024):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 260 Β· π 1.8K Β· π¦ 470 Β· π 3.5K - 3% open Β· β±οΈ 04.09.2024):
```
- git clone https://github.com/OpenNMT/OpenNMT-py
+ git clone https://github.com/deepset-ai/haystack
```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 11K / month Β· π¦ 18 Β· β±οΈ 18.03.2024):
+- [PyPi](https://pypi.org/project/haystack) (π₯ 5.6K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
```
- pip install OpenNMT-py
+ pip install haystack
```
spark-nlp (π₯35 Β· β 3.7K) - State of the Art Natural Language Processing. Apache-2
+spark-nlp (π₯35 Β· β 3.8K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 700 Β· π¦ 440 Β· π 880 - 5% open Β· β±οΈ 27.05.2024):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 710 Β· π¦ 500 Β· π 890 - 4% open Β· β±οΈ 01.09.2024):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
```
-- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 4.2M / month Β· π¦ 37 Β· β±οΈ 05.06.2024):
+- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 4M / month Β· π¦ 37 Β· β±οΈ 28.08.2024):
```
pip install spark-nlp
```
fastText (π₯34 Β· β 26K) - Library for fast text representation and classification. MIT
+TensorFlow Text (π₯35 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 68 Β· π 4.7K Β· π¦ 6K Β· π 1.2K - 47% open Β· β±οΈ 13.03.2024):
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 120 Β· π 340 Β· π¦ 7.3K Β· π 350 - 52% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/facebookresearch/fastText
+ git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/fasttext) (π₯ 1.3M / month Β· π¦ 230 Β· β±οΈ 28.04.2020):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 6.4M / month Β· π¦ 210 Β· β±οΈ 15.07.2024):
```
- pip install fasttext
+ pip install tensorflow-text
```
-- [Conda](https://anaconda.org/conda-forge/fasttext) (π₯ 83K Β· β±οΈ 19.05.2024):
+rubrix (π₯34 Β· β 3.8K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
+
+- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 95 Β· π 350 Β· π¦ 2.7K Β· π 2.1K - 6% open Β· β±οΈ 05.09.2024):
+
```
- conda install -c conda-forge fasttext
+ git clone https://github.com/recognai/rubrix
+ ```
+- [PyPi](https://pypi.org/project/rubrix) (π₯ 690 / month Β· β±οΈ 24.10.2022):
+ ```
+ pip install rubrix
+ ```
+- [Conda](https://anaconda.org/conda-forge/rubrix) (π₯ 35K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge rubrix
```
stanza (π₯34 Β· β 7.1K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
+qdrant (π₯33 Β· β 20K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2
-- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 68 Β· π 870 Β· π¦ 2.8K Β· π 880 - 10% open Β· β±οΈ 20.04.2024):
+- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 120 Β· π 1.3K Β· π₯ 140K Β· π¦ 110 Β· π 1.3K - 22% open Β· β±οΈ 29.08.2024):
```
- git clone https://github.com/stanfordnlp/stanza
+ git clone https://github.com/qdrant/qdrant
+ ```
+ftfy (π₯33 Β· β 3.8K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
+
+- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 19 Β· π 120 Β· π₯ 6 Β· π¦ 22K Β· π 140 - 9% open Β· β±οΈ 06.08.2024):
+
```
-- [PyPi](https://pypi.org/project/stanza) (π₯ 310K / month Β· π¦ 170 Β· β±οΈ 20.04.2024):
+ git clone https://github.com/rspeer/python-ftfy
```
- pip install stanza
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 5.4M / month Β· π¦ 550 Β· β±οΈ 06.08.2024):
```
-- [Conda](https://anaconda.org/stanfordnlp/stanza) (π₯ 7.4K Β· β±οΈ 16.06.2023):
+ pip install ftfy
```
- conda install -c stanfordnlp stanza
+- [Conda](https://anaconda.org/conda-forge/ftfy) (π₯ 300K Β· β±οΈ 06.08.2024):
+ ```
+ conda install -c conda-forge ftfy
```
torchtext (π₯34 Β· β 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3
+torchtext (π₯33 Β· β 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3
-- [GitHub](https://github.com/pytorch/text) (π¨βπ» 160 Β· π 810 Β· π 840 - 38% open Β· β±οΈ 24.04.2024):
+- [GitHub](https://github.com/pytorch/text) (π¨βπ» 160 Β· π 810 Β· π 850 - 38% open Β· β±οΈ 14.08.2024):
```
git clone https://github.com/pytorch/text
```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 680K / month Β· π¦ 260 Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 1M / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
```
pip install torchtext
```
jellyfish (π₯34 Β· β 2K) - a python library for doing approximate and phonetic matching of strings. MIT
+jellyfish (π₯33 Β· β 2K) - a python library for doing approximate and phonetic matching of strings. MIT
-- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 31 Β· π 160 Β· π¦ 9.1K Β· π 130 - 3% open Β· β±οΈ 28.05.2024):
+- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 32 Β· π 160 Β· π¦ 10K Β· π 140 - 5% open Β· β±οΈ 28.07.2024):
```
git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 4.2M / month Β· π¦ 240 Β· β±οΈ 28.05.2024):
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 5.4M / month Β· π¦ 260 Β· β±οΈ 28.07.2024):
```
pip install jellyfish
```
-- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 880K Β· β±οΈ 29.05.2024):
+- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 990K Β· β±οΈ 30.07.2024):
```
conda install -c conda-forge jellyfish
```
TensorFlow Text (π₯34 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
+ParlAI (π₯32 Β· β 10K Β· π€) - A framework for training and evaluating AI models on a variety of.. MIT
-- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 120 Β· π 330 Β· π¦ 6.9K Β· π 340 - 49% open Β· β±οΈ 04.06.2024):
+- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 220 Β· π 2.1K Β· π¦ 250 Β· π 1.5K - 3% open Β· β±οΈ 03.11.2023):
```
- git clone https://github.com/tensorflow/text
+ git clone https://github.com/facebookresearch/ParlAI
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 7M / month Β· π¦ 200 Β· β±οΈ 11.03.2024):
+- [PyPi](https://pypi.org/project/parlai) (π₯ 3.7K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
```
- pip install tensorflow-text
- ```
-qdrant (π₯33 Β· β 18K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2
-
-- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 110 Β· π 1.2K Β· π₯ 43K Β· π¦ 110 Β· π 1.1K - 20% open Β· β±οΈ 28.05.2024):
-
- ```
- git clone https://github.com/qdrant/qdrant
+ pip install parlai
```
rubrix (π₯33 Β· β 3.2K) - Argilla is a collaboration platform for AI engineers and domain.. Apache-2
+stanza (π₯32 Β· β 7.2K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
-- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 89 Β· π 310 Β· π¦ 2.5K Β· π 2K - 8% open Β· β±οΈ 03.06.2024):
+- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 68 Β· π 880 Β· π¦ 3K Β· π 890 - 10% open Β· β±οΈ 20.04.2024):
```
- git clone https://github.com/recognai/rubrix
+ git clone https://github.com/stanfordnlp/stanza
```
-- [PyPi](https://pypi.org/project/rubrix) (π₯ 500 / month Β· β±οΈ 24.10.2022):
+- [PyPi](https://pypi.org/project/stanza) (π₯ 430K / month Β· π¦ 170 Β· β±οΈ 20.04.2024):
```
- pip install rubrix
+ pip install stanza
```
-- [Conda](https://anaconda.org/conda-forge/rubrix) (π₯ 31K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/stanfordnlp/stanza) (π₯ 7.9K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge rubrix
+ conda install -c stanfordnlp stanza
```
ParlAI (π₯32 Β· β 10K Β· π€) - A framework for training and evaluating AI models on a variety of.. MIT
+OpenNMT (π₯32 Β· β 6.7K Β· π) - Open Source Neural Machine Translation and (Large) Language.. MIT
-- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 220 Β· π 2.1K Β· π¦ 240 Β· π 1.5K - 3% open Β· β±οΈ 03.11.2023):
+- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.2K Β· π¦ 290 Β· π 1.5K - 1% open Β· β±οΈ 27.06.2024):
```
- git clone https://github.com/facebookresearch/ParlAI
+ git clone https://github.com/OpenNMT/OpenNMT-py
```
-- [PyPi](https://pypi.org/project/parlai) (π₯ 2.5K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 8.4K / month Β· π¦ 23 Β· β±οΈ 18.03.2024):
```
- pip install parlai
+ pip install OpenNMT-py
```
ftfy (π₯32 Β· β 3.7K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
+Dedupe (π₯32 Β· β 4.1K) - A python library for accurate and scalable fuzzy matching, record.. MIT
-- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 18 Β· π 120 Β· π¦ 20K Β· π 140 - 13% open Β· β±οΈ 15.03.2024):
+- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 72 Β· π 550 Β· π¦ 330 Β· π 820 - 8% open Β· β±οΈ 15.08.2024):
```
- git clone https://github.com/rspeer/python-ftfy
+ git clone https://github.com/dedupeio/dedupe
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 5.1M / month Β· π¦ 500 Β· β±οΈ 15.03.2024):
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 76K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
```
- pip install ftfy
+ pip install dedupe
```
-- [Conda](https://anaconda.org/conda-forge/ftfy) (π₯ 290K Β· β±οΈ 22.11.2023):
+- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 70K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge ftfy
+ conda install -c conda-forge dedupe
```
DeepPavlov (π₯31 Β· β 6.6K) - An open source library for deep learning end-to-end dialog.. Apache-2
-- [GitHub](https://github.com/deeppavlov/DeepPavlov) (π¨βπ» 77 Β· π 1.1K Β· π¦ 390 Β· π 640 - 3% open Β· β±οΈ 13.03.2024):
+- [GitHub](https://github.com/deeppavlov/DeepPavlov) (π¨βπ» 77 Β· π 1.1K Β· π¦ 400 Β· π 640 - 3% open Β· β±οΈ 12.08.2024):
```
git clone https://github.com/deepmipt/DeepPavlov
```
-- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 10K / month Β· π¦ 4 Β· β±οΈ 13.03.2024):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 10K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
```
pip install deeppavlov
```
TextDistance (π₯30 Β· β 3.3K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
-- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 15 Β· π 240 Β· π₯ 1K Β· π¦ 6.4K Β· β±οΈ 24.04.2024):
+- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 17 Β· π 250 Β· π₯ 1K Β· π¦ 7K Β· β±οΈ 03.09.2024):
```
git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/textdistance) (π₯ 810K / month Β· π¦ 93 Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 840K / month Β· π¦ 99 Β· β±οΈ 16.07.2024):
```
pip install textdistance
```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 560K Β· β±οΈ 25.04.2024):
+- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 610K Β· β±οΈ 17.07.2024):
```
conda install -c conda-forge textdistance
```
spacy-transformers (π₯30 Β· β 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
+snowballstemmer (π₯30 Β· β 750) - Snowball compiler and stemming algorithms. BSD-3
-- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 22 Β· π 160 Β· π¦ 1.7K Β· β±οΈ 05.06.2024):
-
- ```
- git clone https://github.com/explosion/spacy-transformers
- ```
-- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 280K / month Β· π¦ 51 Β· β±οΈ 25.04.2024):
- ```
- pip install spacy-transformers
- ```
-- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 37K Β· β±οΈ 19.12.2023):
- ```
- conda install -c conda-forge spacy-transformers
- ```
-snowballstemmer (π₯30 Β· β 720) - Snowball compiler and stemming algorithms. BSD-3
-
-- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 34 Β· π 170 Β· π¦ 5 Β· π 88 - 30% open Β· β±οΈ 02.05.2024):
+- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 34 Β· π 170 Β· π¦ 9 Β· π 89 - 30% open Β· β±οΈ 02.09.2024):
```
git clone https://github.com/snowballstem/snowball
```
-- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 15M / month Β· π¦ 410 Β· β±οΈ 16.11.2021):
+- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 20M / month Β· π¦ 440 Β· β±οΈ 16.11.2021):
```
pip install snowballstemmer
```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 8.1M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 8.6M Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge snowballstemmer
```
Dedupe (π₯29 Β· β 4K) - A python library for accurate and scalable fuzzy matching, record.. MIT
+spacy-transformers (π₯29 Β· β 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
-- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 70 Β· π 540 Β· π¦ 330 Β· π 810 - 9% open Β· β±οΈ 19.12.2023):
+- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 22 Β· π 160 Β· π¦ 1.8K Β· β±οΈ 05.06.2024):
```
- git clone https://github.com/dedupeio/dedupe
+ git clone https://github.com/explosion/spacy-transformers
```
-- [PyPi](https://pypi.org/project/dedupe) (π₯ 67K / month Β· π¦ 18 Β· β±οΈ 17.02.2023):
+- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 250K / month Β· π¦ 87 Β· β±οΈ 25.04.2024):
```
- pip install dedupe
+ pip install spacy-transformers
```
-- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 52K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 59K Β· β±οΈ 19.12.2023):
```
- conda install -c conda-forge dedupe
+ conda install -c conda-forge spacy-transformers
```
Sumy (π₯29 Β· β 3.4K) - Module for automatic summarization of text documents and HTML pages. Apache-2
+Sumy (π₯28 Β· β 3.5K) - Module for automatic summarization of text documents and HTML pages. Apache-2
-- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 32 Β· π 520 Β· π¦ 2.8K Β· π 120 - 17% open Β· β±οΈ 16.05.2024):
+- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 32 Β· π 530 Β· π¦ 3K Β· π 120 - 18% open Β· β±οΈ 16.05.2024):
```
git clone https://github.com/miso-belica/sumy
```
-- [PyPi](https://pypi.org/project/sumy) (π₯ 530K / month Β· π¦ 27 Β· β±οΈ 23.10.2022):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 430K / month Β· π¦ 28 Β· β±οΈ 23.10.2022):
```
pip install sumy
```
-- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 8.1K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 9.1K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge sumy
```
SciSpacy (π₯28 Β· β 1.6K Β· π) - A full spaCy pipeline and models for scientific/biomedical.. Apache-2
+SciSpacy (π₯28 Β· β 1.7K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
-- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 33 Β· π 220 Β· π¦ 910 Β· π 310 - 10% open Β· β±οΈ 30.03.2024):
+- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 33 Β· π 220 Β· π¦ 950 Β· π 320 - 10% open Β· β±οΈ 30.03.2024):
```
git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 26K / month Β· π¦ 34 Β· β±οΈ 08.03.2024):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 24K / month Β· π¦ 34 Β· β±οΈ 08.03.2024):
```
pip install scispacy
```
CLTK (π₯28 Β· β 820) - The Classical Language Toolkit. MIT
+CLTK (π₯28 Β· β 830) - The Classical Language Toolkit. MIT
-- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 320 Β· π₯ 64 Β· π¦ 260 Β· π 570 - 6% open Β· β±οΈ 12.05.2024):
+- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 330 Β· π₯ 83 Β· π¦ 270 Β· π 570 - 6% open Β· β±οΈ 12.05.2024):
```
git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 1.9K / month Β· π¦ 15 Β· β±οΈ 12.05.2024):
+- [PyPi](https://pypi.org/project/cltk) (π₯ 1.6K / month Β· π¦ 15 Β· β±οΈ 12.05.2024):
```
pip install cltk
```
DeepKE (π₯27 Β· β 3.1K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
+Ciphey (π₯27 Β· β 18K Β· π€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
-- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 31 Β· π 640 Β· π¦ 21 Β· π 490 - 0% open Β· β±οΈ 03.06.2024):
-
- ```
- git clone https://github.com/zjunlp/deepke
- ```
-- [PyPi](https://pypi.org/project/deepke) (π₯ 440 / month Β· β±οΈ 21.09.2023):
- ```
- pip install deepke
- ```
-Ciphey (π₯26 Β· β 17K Β· π€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
-
-- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 48 Β· π 1.1K Β· π 330 - 20% open Β· β±οΈ 12.10.2023):
+- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 48 Β· π 1.1K Β· π 340 - 21% open Β· β±οΈ 12.10.2023):
```
git clone https://github.com/Ciphey/Ciphey
```
-- [PyPi](https://pypi.org/project/ciphey) (π₯ 41K / month Β· β±οΈ 06.06.2021):
+- [PyPi](https://pypi.org/project/ciphey) (π₯ 36K / month Β· β±οΈ 06.06.2021):
```
pip install ciphey
```
-- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (π₯ 24K Β· β 17 Β· β±οΈ 14.10.2023):
+- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (π₯ 25K Β· β 17 Β· β±οΈ 14.10.2023):
```
docker pull remnux/ciphey
```
scattertext (π₯26 Β· β 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2
+DeepKE (π₯27 Β· β 3.4K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
-- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 280 Β· π¦ 560 Β· π 100 - 21% open Β· β±οΈ 06.03.2024):
+- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 31 Β· π 670 Β· π¦ 23 Β· π 560 - 1% open Β· β±οΈ 04.09.2024):
```
- git clone https://github.com/JasonKessler/scattertext
- ```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 12K / month Β· π¦ 5 Β· β±οΈ 06.03.2024):
- ```
- pip install scattertext
+ git clone https://github.com/zjunlp/deepke
```
-- [Conda](https://anaconda.org/conda-forge/scattertext) (π₯ 90K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/deepke) (π₯ 1.4K / month Β· β±οΈ 21.09.2023):
```
- conda install -c conda-forge scattertext
+ pip install deepke
```
PyTextRank (π₯26 Β· β 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
+english-words (π₯26 Β· β 10K) - A text file containing 479k English words for all your.. Unlicense
-- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 660 Β· π 100 - 8% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 32 Β· π 1.8K Β· π¦ 2 Β· π 150 - 75% open Β· β±οΈ 16.06.2024):
```
- git clone https://github.com/DerwenAI/pytextrank
+ git clone https://github.com/dwyl/english-words
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 42K / month Β· π¦ 18 Β· β±οΈ 21.02.2024):
+- [PyPi](https://pypi.org/project/english-words) (π₯ 64K / month Β· π¦ 14 Β· β±οΈ 24.05.2023):
```
- pip install pytextrank
+ pip install english-words
```
promptsource (π₯24 Β· β 2.5K Β· π€) - Toolkit for creating, sharing and using natural language.. Apache-2
+PyTextRank (π₯26 Β· β 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
-- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 65 Β· π 340 Β· π¦ 96 Β· π 190 - 22% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 700 Β· π 100 - 12% open Β· β±οΈ 21.05.2024):
```
- git clone https://github.com/bigscience-workshop/promptsource
+ git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/promptsource) (π₯ 640 / month Β· π¦ 4 Β· β±οΈ 18.04.2022):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 51K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
```
- pip install promptsource
+ pip install pytextrank
```
pytorch-nlp (π₯24 Β· β 2.2K Β· π€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3
+scattertext (π₯25 Β· β 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2
-- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (π¨βπ» 18 Β· π 250 Β· π¦ 690 Β· π 69 - 27% open Β· β±οΈ 04.07.2023):
+- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 290 Β· π¦ 610 Β· π 100 - 21% open Β· β±οΈ 06.03.2024):
```
- git clone https://github.com/PetrochukM/PyTorch-NLP
- ```
-- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 5.2K / month Β· π¦ 19 Β· β±οΈ 04.11.2019):
- ```
- pip install pytorch-nlp
+ git clone https://github.com/JasonKessler/scattertext
```
-detoxify (π₯24 Β· β 870) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-
-- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 12 Β· π 110 Β· π₯ 500K Β· π¦ 600 Β· π 62 - 56% open Β· β±οΈ 16.05.2024):
-
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 17K / month Β· π¦ 5 Β· β±οΈ 06.03.2024):
```
- git clone https://github.com/unitaryai/detoxify
+ pip install scattertext
```
-- [PyPi](https://pypi.org/project/detoxify) (π₯ 30K / month Β· π¦ 15 Β· β±οΈ 01.02.2024):
+- [Conda](https://anaconda.org/conda-forge/scattertext) (π₯ 97K Β· β±οΈ 16.06.2023):
```
- pip install detoxify
+ conda install -c conda-forge scattertext
```
T5 (π₯23 Β· β 6K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
+promptsource (π₯24 Β· β 2.6K Β· π€) - Toolkit for creating, sharing and using natural language.. Apache-2
-- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 59 Β· π 740 Β· π 450 - 23% open Β· β±οΈ 23.01.2024):
+- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 65 Β· π 340 Β· π¦ 110 Β· π 190 - 22% open Β· β±οΈ 23.10.2023):
```
- git clone https://github.com/google-research/text-to-text-transfer-transformer
+ git clone https://github.com/bigscience-workshop/promptsource
```
-- [PyPi](https://pypi.org/project/t5) (π₯ 38K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
+- [PyPi](https://pypi.org/project/promptsource) (π₯ 360 / month Β· π¦ 4 Β· β±οΈ 18.04.2022):
```
- pip install t5
+ pip install promptsource
```
Texthero (π₯23 Β· β 2.9K Β· π€) - Text preprocessing, representation and visualization from zero to.. MIT
+T5 (π₯23 Β· β 6.1K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
-- [GitHub](https://github.com/jbesomi/texthero) (π¨βπ» 21 Β· π 240 Β· π₯ 120 Β· π 140 - 55% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 59 Β· π 740 Β· π 450 - 23% open Β· β±οΈ 28.06.2024):
```
- git clone https://github.com/jbesomi/texthero
+ git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/texthero) (π₯ 8.8K / month Β· π¦ 6 Β· β±οΈ 01.07.2021):
+- [PyPi](https://pypi.org/project/t5) (π₯ 67K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
```
- pip install texthero
+ pip install t5
```
happy-transformer (π₯22 Β· β 510) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
+happy-transformer (π₯23 Β· β 520) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 67 Β· π¦ 260 Β· π 130 - 14% open Β· β±οΈ 19.03.2024):
+- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 66 Β· π¦ 280 Β· π 130 - 15% open Β· β±οΈ 19.03.2024):
```
git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/happytransformer) (π₯ 2.5K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
+- [PyPi](https://pypi.org/project/happytransformer) (π₯ 2.3K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
```
pip install happytransformer
```
fast-bert (π₯21 Β· β 1.8K) - Super easy library for BERT based NLP models. Apache-2
+fast-bert (π₯22 Β· β 1.9K) - Super easy library for BERT based NLP models. Apache-2
-- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 36 Β· π 340 Β· π 260 - 63% open Β· β±οΈ 30.01.2024):
+- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 37 Β· π 340 Β· π 260 - 63% open Β· β±οΈ 19.08.2024):
```
git clone https://github.com/utterworks/fast-bert
```
-- [PyPi](https://pypi.org/project/fast-bert) (π₯ 790 / month Β· β±οΈ 30.01.2024):
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.4K / month Β· β±οΈ 19.08.2024):
```
pip install fast-bert
```
Sockeye (π₯21 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
+detoxify (π₯22 Β· β 920) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 330 Β· π₯ 18 Β· π 310 - 3% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 12 Β· π 120 Β· π₯ 640K Β· π¦ 670 Β· π 67 - 56% open Β· β±οΈ 17.08.2024):
```
- git clone https://github.com/awslabs/sockeye
+ git clone https://github.com/unitaryai/detoxify
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 1K / month Β· β±οΈ 03.03.2023):
+- [PyPi](https://pypi.org/project/detoxify) (π₯ 27K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
```
- pip install sockeye
+ pip install detoxify
```
finetune (π₯21 Β· β 700) - Scikit-learn style model finetuning for NLP. MPL-2.0
+finetune (π₯22 Β· β 700) - Scikit-learn style model finetuning for NLP. MPL-2.0
-- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 23 Β· π 80 Β· π¦ 11 Β· π 140 - 15% open Β· β±οΈ 27.03.2024):
+- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 23 Β· π 80 Β· π¦ 12 Β· π 140 - 15% open Β· β±οΈ 23.07.2024):
```
git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 150 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 270 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
```
pip install finetune
```
UForm (π₯20 Β· β 930) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
+small-text (π₯22 Β· β 540) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 14 Β· π 56 Β· π₯ 290 Β· π¦ 6 Β· π 24 - 20% open Β· β±οΈ 25.04.2024):
+- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 7 Β· π 60 Β· π¦ 30 Β· π 57 - 22% open Β· β±οΈ 18.08.2024):
```
- git clone https://github.com/unum-cloud/uform
+ git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/uform) (π₯ 730 / month Β· π¦ 1 Β· β±οΈ 25.04.2024):
+- [PyPi](https://pypi.org/project/small-text) (π₯ 710 / month Β· β±οΈ 18.08.2024):
```
- pip install uform
+ pip install small-text
+ ```
+- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 8.7K Β· β±οΈ 18.08.2024):
+ ```
+ conda install -c conda-forge small-text
```
small-text (π₯20 Β· β 520) - Active Learning for Text Classification in Python. MIT
+Sockeye (π₯21 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
-- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 6 Β· π 57 Β· π¦ 28 Β· π 54 - 29% open Β· β±οΈ 29.12.2023):
+- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 320 Β· π₯ 19 Β· π 310 - 3% open Β· β±οΈ 07.06.2024):
```
- git clone https://github.com/webis-de/small-text
+ git clone https://github.com/awslabs/sockeye
+ ```
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 760 / month Β· β±οΈ 03.03.2023):
```
-- [PyPi](https://pypi.org/project/small-text) (π₯ 720 / month Β· β±οΈ 29.12.2023):
+ pip install sockeye
+ ```
+UForm (π₯18 Β· β 1K) - Pocket-Sized Multimodal AI for content understanding and generation.. Apache-2
+
+- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 14 Β· π 60 Β· π₯ 380 Β· π¦ 6 Β· π 29 - 27% open Β· β±οΈ 25.04.2024):
+
```
- pip install small-text
+ git clone https://github.com/unum-cloud/uform
```
-- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 6.3K Β· β±οΈ 29.12.2023):
+- [PyPi](https://pypi.org/project/uform) (π₯ 940 / month Β· π¦ 1 Β· β±οΈ 25.04.2024):
```
- conda install -c conda-forge small-text
+ pip install uform
```
textaugment (π₯18 Β· β 380 Β· π€) - TextAugment: Text Augmentation Library. MIT
+textaugment (π₯18 Β· β 390 Β· π€) - TextAugment: Text Augmentation Library. MIT
-- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 59 Β· π₯ 69 Β· π¦ 99 Β· π 29 - 37% open Β· β±οΈ 17.11.2023):
+- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 60 Β· π₯ 92 Β· π¦ 120 Β· π 29 - 37% open Β· β±οΈ 17.11.2023):
```
git clone https://github.com/dsfsi/textaugment
```
-- [PyPi](https://pypi.org/project/textaugment) (π₯ 5K / month Β· π¦ 4 Β· β±οΈ 16.11.2023):
+- [PyPi](https://pypi.org/project/textaugment) (π₯ 6.1K / month Β· π¦ 4 Β· β±οΈ 16.11.2023):
```
pip install textaugment
```
OpenNRE (π₯17 Β· β 4.3K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
+OpenNRE (π₯16 Β· β 4.3K Β· π€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
-- [GitHub](https://github.com/thunlp/OpenNRE) (π¨βπ» 13 Β· π 1.1K Β· π¦ 3 Β· π 370 - 4% open Β· β±οΈ 10.01.2024):
+- [GitHub](https://github.com/thunlp/OpenNRE) (π¨βπ» 13 Β· π 1.1K Β· π 370 - 4% open Β· β±οΈ 10.01.2024):
```
git clone https://github.com/thunlp/OpenNRE
```
VizSeq (π₯15 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
+VizSeq (π₯14 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
-- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 4 Β· π 61 Β· π¦ 9 Β· π 16 - 43% open Β· β±οΈ 21.04.2024):
+- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 4 Β· π 61 Β· π¦ 11 Β· π 16 - 43% open Β· β±οΈ 18.06.2024):
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 130 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 110 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
```
Show 51 hidden projects...
+Show 52 hidden projects...
-- ChatterBot (π₯35 Β· β 14K Β· π) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3
-- AllenNLP (π₯35 Β· β 12K Β· π) - An open-source NLP research library, built on PyTorch. Apache-2 βοΈGPL-2.0
-- nlpaug (π₯29 Β· β 4.3K Β· π) - Data augmentation for NLP. MIT
+- AllenNLP (π₯36 Β· β 12K Β· π) - An open-source NLP research library, built on PyTorch. Apache-2 BSD-3
+- fuzzywuzzy (π₯31 Β· β 9.2K Β· π) - Fuzzy String Matching in Python. βοΈGPL-2.0
+- nlpaug (π₯29 Β· β 4.4K Β· π) - Data augmentation for NLP. MIT
+- fastNLP (π₯29 Β· β 3.1K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
- GluonNLP (π₯29 Β· β 2.6K Β· π) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 Unlicense
-- fastNLP (π₯28 Β· β 3K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
- langid (π₯28 Β· β 2.3K Β· π) - Stand-alone language identification system. BSD-3
-- vaderSentiment (π₯27 Β· β 4.3K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
-- polyglot (π₯27 Β· β 2.3K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
-- textacy (π₯27 Β· β 2.2K Β· π) - NLP, before and after spaCy. βUnlicensed
-- flashtext (π₯26 Β· β 5.6K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
-- underthesea (π₯26 Β· β 1.3K Β· π€) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
-- Snips NLU (π₯25 Β· β 3.9K Β· π) - Snips Python library to extract meaning from text. Apache-2
+- flashtext (π₯27 Β· β 5.6K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
+- vaderSentiment (π₯27 Β· β 4.4K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
+- textacy (π₯27 Β· β 2.2K Β· π) - NLP, before and after spaCy. βUnlicensed
+- underthesea (π₯27 Β· β 1.4K) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
+- polyglot (π₯26 Β· β 2.3K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
+- FARM (π₯26 Β· β 1.7K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 MIT
+- OpenPrompt (π₯25 Β· β 4.3K Β· π) - An Open-Source Framework for Prompt-Learning. Apache-2
+- MatchZoo (π₯25 Β· β 3.8K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2 MIT
-- pySBD (π₯25 Β· β 740 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
-- whoosh (π₯25 Β· β 540 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
-- PyText (π₯24 Β· β 6.4K Β· π) - A natural language modeling framework based on PyTorch. BSD-3 BSD-3 βοΈBSD-1-Clause
+- PyText (π₯24 Β· β 6.3K Β· π) - A natural language modeling framework based on PyTorch. BSD-3 MIT Apache-2
-- MatchZoo (π₯24 Β· β 3.8K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2 Apache-2
+- Kashgari (π₯24 Β· β 2.4K Β· π) - Kashgari is a production-level NLP Transfer learning.. Apache-2 MIT
-- DeepMatcher (π₯23 Β· β 5K Β· π) - Python package for performing Entity and Text Matching using.. BSD-3
-- Kashgari (π₯23 Β· β 2.4K Β· π) - Kashgari is a production-level NLP Transfer learning.. Apache-2 Apache-2 MIT Apache-2
+- Texthero (π₯22 Β· β 2.9K Β· π) - Text preprocessing, representation and visualization from zero to.. MIT
- Texar (π₯22 Β· β 2.4K Β· π) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 MIT
- YouTokenToMe (π₯22 Β· β 950 Β· π) - Unsupervised text tokenizer focused on computational efficiency. MIT
- stop-words (π₯22 Β· β 160 Β· π) - Get list of common stop words in various languages in Python. BSD-3
-- DELTA (π₯21 Β· β 1.6K Β· π) - DELTA is a deep learning based natural language and speech.. Apache-2 Apache-2
-- NLP Architect (π₯20 Β· β 2.9K Β· π) - A model library for exploring state-of-the-art deep.. Apache-2
-- anaGo (π₯20 Β· β 1.5K Β· π) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT βοΈGPL-3.0
+- anaGo (π₯21 Β· β 1.5K Β· π) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT BSD-3
+- lightseq (π₯20 Β· β 3.2K Β· π) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2
+- DELTA (π₯20 Β· β 1.6K Β· π) - DELTA is a deep learning based natural language and speech.. Apache-2 MIT
+- pyfasttext (π₯20 Β· β 230 Β· π) - Yet another Python binding for fastText. βοΈGPL-3.0
+- fastT5 (π₯19 Β· β 560 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
- numerizer (π₯19 Β· β 210 Β· π) - A Python module to convert natural language numerics into ints and.. MIT
-- nboost (π₯18 Β· β 670 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
-- fastT5 (π₯18 Β· β 540 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
+- nboost (π₯18 Β· β 680 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
- Camphr (π₯18 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
-- textpipe (π₯18 Β· β 300 Β· π) - Textpipe: clean and extract metadata from text. MIT
- NeuroNER (π₯17 Β· β 1.7K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
-- TextBox (π₯16 Β· β 1.1K Β· π) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
+- Translate (π₯16 Β· β 820 Β· π) - Translate - a PyTorch Language Library. BSD-3 MIT MIT
-- Translate (π₯15 Β· β 820 Β· π) - Translate - a PyTorch Language Library. BSD-3 MIT
+- TextBox (π₯15 Β· β 1.1K Β· π) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
+- Headliner (π₯15 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. MIT
+- TransferNLP (π₯14 Β· β 290 Β· π) - NLP library designed for reproducible experimentation.. MIT MIT
-- Headliner (π₯14 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. MIT
-- TransferNLP (π₯13 Β· β 290 Β· π) - NLP library designed for reproducible experimentation.. MIT Apache-2
-- textvec (π₯13 Β· β 190) - Text vectorization tool to outperform TFIDF for classification tasks. MIT MIT MIT spacy
@@ -2203,503 +2197,503 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (π₯48 Β· β 12K) - Python Imaging Library (Fork). βοΈPIL
-- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 470 Β· π 2.1K Β· π¦ 1.7M Β· π 3.1K - 3% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.2K Β· π¦ 1.8M Β· π 3.2K - 4% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/python-pillow/Pillow
```
-- [PyPi](https://pypi.org/project/Pillow) (π₯ 99M / month Β· π¦ 4.2K Β· β±οΈ 01.04.2024):
+- [PyPi](https://pypi.org/project/Pillow) (π₯ 110M / month Β· π¦ 7.7K Β· β±οΈ 01.07.2024):
```
pip install Pillow
```
-- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 40M Β· β±οΈ 03.04.2024):
+- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 44M Β· β±οΈ 02.07.2024):
```
conda install -c conda-forge pillow
```
torchvision (π₯42 Β· β 16K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-
-- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 600 Β· π 6.9K Β· π₯ 38K Β· π¦ 21 Β· π 3.4K - 29% open Β· β±οΈ 06.06.2024):
-
- ```
- git clone https://github.com/pytorch/vision
- ```
-- [PyPi](https://pypi.org/project/torchvision) (π₯ 13M / month Β· π¦ 5K Β· β±οΈ 05.06.2024):
- ```
- pip install torchvision
- ```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 1.2M Β· β±οΈ 16.05.2024):
- ```
- conda install -c conda-forge torchvision
- ```
-PyTorch Image Models (π₯41 Β· β 30K) - The largest collection of PyTorch image encoders /.. Apache-2
+PyTorch Image Models (π₯42 Β· β 31K) - The largest collection of PyTorch image encoders /.. Apache-2
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 140 Β· π 4.6K Β· π₯ 6.6M Β· π¦ 30K Β· π 880 - 6% open Β· β±οΈ 27.05.2024):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 150 Β· π 4.7K Β· π₯ 7M Β· π¦ 36K Β· π 900 - 4% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/rwightman/pytorch-image-models
```
-- [PyPi](https://pypi.org/project/timm) (π₯ 5.1M / month Β· π¦ 760 Β· β±οΈ 15.05.2024):
+- [PyPi](https://pypi.org/project/timm) (π₯ 5.8M / month Β· π¦ 900 Β· β±οΈ 23.08.2024):
```
pip install timm
```
-- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 160K Β· β±οΈ 16.05.2024):
+- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 220K Β· β±οΈ 24.08.2024):
```
conda install -c conda-forge timm
```
MMDetection (π₯38 Β· β 28K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
+torchvision (π₯42 Β· β 16K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 480 Β· π 9.2K Β· π¦ 2.6K Β· π 8.3K - 19% open Β· β±οΈ 05.02.2024):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 610 Β· π 6.9K Β· π₯ 39K Β· π¦ 21 Β· π 3.4K - 29% open Β· β±οΈ 04.09.2024):
```
- git clone https://github.com/open-mmlab/mmdetection
+ git clone https://github.com/pytorch/vision
```
-- [PyPi](https://pypi.org/project/mmdet) (π₯ 260K / month Β· π¦ 64 Β· β±οΈ 05.01.2024):
+- [PyPi](https://pypi.org/project/torchvision) (π₯ 13M / month Β· π¦ 5.5K Β· β±οΈ 04.09.2024):
```
- pip install mmdet
+ pip install torchvision
+ ```
+- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 1.6M Β· β±οΈ 25.08.2024):
+ ```
+ conda install -c conda-forge torchvision
```
Albumentations (π₯38 Β· β 14K) - Fast and flexible image augmentation library. Paper about.. MIT
+Albumentations (π₯40 Β· β 14K) - Fast and flexible image augmentation library. Paper about.. MIT
-- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 140 Β· π 1.6K Β· π¦ 24K Β· π 960 - 44% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 150 Β· π 1.6K Β· π¦ 27K Β· π 1K - 36% open Β· β±οΈ 02.09.2024):
```
git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 2.1M / month Β· π¦ 510 Β· β±οΈ 28.05.2024):
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 4.5M / month Β· π¦ 550 Β· β±οΈ 16.08.2024):
```
pip install albumentations
```
-- [Conda](https://anaconda.org/conda-forge/albumentations) (π₯ 170K Β· β±οΈ 05.03.2024):
+- [Conda](https://anaconda.org/conda-forge/albumentations) (π₯ 190K Β· β±οΈ 20.08.2024):
```
conda install -c conda-forge albumentations
```
MoviePy (π₯38 Β· β 12K) - Video editing with Python. MIT
-- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.5K Β· π¦ 40K Β· π 1.5K - 28% open Β· β±οΈ 27.05.2024):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.5K Β· π¦ 44K Β· π 1.5K - 30% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 1.2M / month Β· π¦ 820 Β· β±οΈ 15.12.2021):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 1.3M / month Β· π¦ 910 Β· β±οΈ 15.12.2021):
```
pip install moviepy
```
-- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 250K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 260K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge moviepy
```
Kornia (π₯38 Β· β 9.5K) - Geometric Computer Vision Library for Spatial AI. Apache-2
+Kornia (π₯38 Β· β 9.8K) - Geometric Computer Vision Library for Spatial AI. Apache-2
-- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 260 Β· π 940 Β· π₯ 1.1K Β· π¦ 10K Β· π 910 - 29% open Β· β±οΈ 28.05.2024):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 270 Β· π 960 Β· π₯ 1.4K Β· π¦ 11K Β· π 940 - 30% open Β· β±οΈ 02.09.2024):
```
git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/kornia) (π₯ 1.4M / month Β· π¦ 240 Β· β±οΈ 14.03.2024):
+- [PyPi](https://pypi.org/project/kornia) (π₯ 1.9M / month Β· π¦ 260 Β· β±οΈ 28.06.2024):
```
pip install kornia
```
-- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 130K Β· β±οΈ 20.02.2024):
+- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 140K Β· β±οΈ 28.06.2024):
```
conda install -c conda-forge kornia
```
imageio (π₯38 Β· β 1.4K Β· π) - Python library for reading and writing image data. BSD-2
+imageio (π₯38 Β· β 1.5K) - Python library for reading and writing image data. BSD-2
-- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 110 Β· π 290 Β· π₯ 1.1K Β· π¦ 130K Β· π 600 - 17% open Β· β±οΈ 03.06.2024):
+- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 110 Β· π 290 Β· π₯ 1.2K Β· π¦ 140K Β· π 600 - 16% open Β· β±οΈ 19.08.2024):
```
git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/imageio) (π₯ 22M / month Β· π¦ 2.2K Β· β±οΈ 22.04.2024):
+- [PyPi](https://pypi.org/project/imageio) (π₯ 26M / month Β· π¦ 2.4K Β· β±οΈ 19.08.2024):
```
pip install imageio
```
-- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 6.4M Β· β±οΈ 22.04.2024):
+- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 6.8M Β· β±οΈ 19.08.2024):
```
conda install -c conda-forge imageio
```
deepface (π₯37 Β· β 11K Β· π) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+MMDetection (π₯37 Β· β 29K Β· π€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
-- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 62 Β· π 1.9K Β· π¦ 3.3K Β· π 1K - 0% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 480 Β· π 9.4K Β· π¦ 2.9K Β· π 8.5K - 20% open Β· β±οΈ 05.02.2024):
```
- git clone https://github.com/serengil/deepface
+ git clone https://github.com/open-mmlab/mmdetection
```
-- [PyPi](https://pypi.org/project/deepface) (π₯ 66K / month Β· π¦ 36 Β· β±οΈ 02.05.2024):
+- [PyPi](https://pypi.org/project/mmdet) (π₯ 190K / month Β· π¦ 81 Β· β±οΈ 05.01.2024):
```
- pip install deepface
+ pip install mmdet
```
InsightFace (π₯36 Β· β 22K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
+InsightFace (π₯37 Β· β 23K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 60 Β· π 5.2K Β· π₯ 3.4M Β· π¦ 2.2K Β· π 2.4K - 44% open Β· β±οΈ 08.05.2024):
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 61 Β· π 5.3K Β· π₯ 4.5M Β· π¦ 2.6K Β· π 2.5K - 44% open Β· β±οΈ 30.08.2024):
```
git clone https://github.com/deepinsight/insightface
```
-- [PyPi](https://pypi.org/project/insightface) (π₯ 360K / month Β· π¦ 22 Β· β±οΈ 17.12.2022):
+- [PyPi](https://pypi.org/project/insightface) (π₯ 350K / month Β· π¦ 29 Β· β±οΈ 17.12.2022):
```
pip install insightface
```
opencv-python (π₯36 Β· β 4.2K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
+deepface (π₯37 Β· β 12K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
-- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 48 Β· π 800 Β· π¦ 400K Β· π 780 - 14% open Β· β±οΈ 03.06.2024):
+- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 66 Β· π 2K Β· π¦ 3.9K Β· π 1.1K - 0% open Β· β±οΈ 03.09.2024):
```
- git clone https://github.com/opencv/opencv-python
+ git clone https://github.com/serengil/deepface
```
-- [PyPi](https://pypi.org/project/opencv-python) (π₯ 15M / month Β· π¦ 9.5K Β· β±οΈ 03.06.2024):
+- [PyPi](https://pypi.org/project/deepface) (π₯ 98K / month Β· π¦ 42 Β· β±οΈ 17.08.2024):
```
- pip install opencv-python
+ pip install deepface
```
detectron2 (π₯34 Β· β 29K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
+opencv-python (π₯36 Β· β 4.4K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 270 Β· π 7.3K Β· π¦ 1.8K Β· π 3.5K - 13% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 49 Β· π 830 Β· π¦ 440K Β· π 810 - 15% open Β· β±οΈ 24.07.2024):
```
- git clone https://github.com/facebookresearch/detectron2
- ```
-- [PyPi](https://pypi.org/project/detectron2) (π¦ 11 Β· β±οΈ 06.02.2020):
- ```
- pip install detectron2
+ git clone https://github.com/opencv/opencv-python
```
-- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 280K Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/opencv-python) (π₯ 17M / month Β· π¦ 10K Β· β±οΈ 17.06.2024):
```
- conda install -c conda-forge detectron2
+ pip install opencv-python
```
Wand (π₯33 Β· β 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT
+Wand (π₯34 Β· β 1.4K Β· π€) - The ctypes-based simple ImageMagick binding for Python. MIT
-- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 100 Β· π 200 Β· π₯ 47K Β· π¦ 19K Β· π 420 - 6% open Β· β±οΈ 11.02.2024):
+- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 100 Β· π 200 Β· π₯ 49K Β· π¦ 20K Β· π 430 - 6% open Β· β±οΈ 11.02.2024):
```
git clone https://github.com/emcconville/wand
```
-- [PyPi](https://pypi.org/project/wand) (π₯ 870K / month Β· π¦ 240 Β· β±οΈ 03.11.2023):
+- [PyPi](https://pypi.org/project/wand) (π₯ 750K / month Β· π¦ 250 Β· β±οΈ 03.11.2023):
```
pip install wand
```
-- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 49K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 70K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge wand
```
imageai (π₯31 Β· β 8.5K) - A python library built to empower developers to build applications and.. MIT
+detectron2 (π₯33 Β· β 30K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
-- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.2K Β· π₯ 930K Β· π¦ 1.6K Β· π 760 - 40% open Β· β±οΈ 20.02.2024):
+- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 270 Β· π 7.4K Β· π¦ 2K Β· π 3.6K - 14% open Β· β±οΈ 22.08.2024):
```
- git clone https://github.com/OlafenwaMoses/ImageAI
+ git clone https://github.com/facebookresearch/detectron2
```
-- [PyPi](https://pypi.org/project/imageai) (π₯ 11K / month Β· π¦ 19 Β· β±οΈ 02.01.2023):
+- [PyPi](https://pypi.org/project/detectron2) (π¦ 13 Β· β±οΈ 06.02.2020):
```
- pip install imageai
+ pip install detectron2
```
-- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 7.2K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 400K Β· β±οΈ 26.08.2024):
```
- conda install -c conda-forge imageai
+ conda install -c conda-forge detectron2
```
PaddleSeg (π₯31 Β· β 8.4K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
+PaddleSeg (π₯32 Β· β 8.5K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 120 Β· π 1.6K Β· π¦ 1.2K Β· π 2.1K - 10% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 130 Β· π 1.7K Β· π¦ 1.3K Β· π 2.1K - 10% open Β· β±οΈ 23.08.2024):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
-- [PyPi](https://pypi.org/project/paddleseg) (π₯ 2.4K / month Β· π¦ 7 Β· β±οΈ 30.11.2022):
+- [PyPi](https://pypi.org/project/paddleseg) (π₯ 1.7K / month Β· π¦ 7 Β· β±οΈ 30.11.2022):
```
pip install paddleseg
```
lightly (π₯31 Β· β 2.8K) - A python library for self-supervised learning on images. MIT
+lightly (π₯32 Β· β 2.9K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 40 Β· π 240 Β· π¦ 260 Β· π 520 - 19% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 42 Β· π 240 Β· π¦ 310 Β· π 580 - 15% open Β· β±οΈ 20.08.2024):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 32K / month Β· π¦ 13 Β· β±οΈ 29.05.2024):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 32K / month Β· π¦ 14 Β· β±οΈ 20.08.2024):
```
pip install lightly
```
vit-pytorch (π₯30 Β· β 18K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
+vit-pytorch (π₯31 Β· β 20K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
-- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 21 Β· π 2.8K Β· π¦ 480 Β· π 260 - 46% open Β· β±οΈ 11.05.2024):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 21 Β· π 2.9K Β· π¦ 520 Β· π 270 - 48% open Β· β±οΈ 28.08.2024):
```
git clone https://github.com/lucidrains/vit-pytorch
```
-- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 23K / month Β· π¦ 11 Β· β±οΈ 11.05.2024):
+- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 18K / month Β· π¦ 13 Β· β±οΈ 28.08.2024):
```
pip install vit-pytorch
```
sahi (π₯30 Β· β 3.7K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
+imageai (π₯31 Β· β 8.5K Β· π€) - A python library built to empower developers to build applications.. MIT
-- [GitHub](https://github.com/obss/sahi) (π¨βπ» 47 Β· π 540 Β· π₯ 25K Β· π¦ 1.1K Β· β±οΈ 02.06.2024):
+- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.2K Β· π₯ 940K Β· π¦ 1.7K Β· π 760 - 41% open Β· β±οΈ 20.02.2024):
```
- git clone https://github.com/obss/sahi
+ git clone https://github.com/OlafenwaMoses/ImageAI
```
-- [PyPi](https://pypi.org/project/sahi) (π₯ 120K / month Β· π¦ 25 Β· β±οΈ 20.05.2024):
+- [PyPi](https://pypi.org/project/imageai) (π₯ 5.9K / month Β· π¦ 19 Β· β±οΈ 02.01.2023):
```
- pip install sahi
+ pip install imageai
```
-- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 60K Β· β±οΈ 21.05.2024):
+- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 7.8K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge sahi
+ conda install -c conda-forge imageai
```
ImageHash (π₯30 Β· β 3K) - A Python Perceptual Image Hashing Module. BSD-2
+vidgear (π₯30 Β· β 3.3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
-- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 26 Β· π 320 Β· π¦ 13K Β· π 140 - 10% open Β· β±οΈ 26.05.2024):
+- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 250 Β· π₯ 1.6K Β· π¦ 600 Β· π 290 - 2% open Β· β±οΈ 22.06.2024):
```
- git clone https://github.com/JohannesBuchner/imagehash
- ```
-- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.7M / month Β· π¦ 220 Β· β±οΈ 28.09.2022):
- ```
- pip install ImageHash
+ git clone https://github.com/abhiTronix/vidgear
```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 370K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/vidgear) (π₯ 22K / month Β· π¦ 15 Β· β±οΈ 22.06.2024):
```
- conda install -c conda-forge imagehash
+ pip install vidgear
```
doctr (π₯29 Β· β 3.2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
+ImageHash (π₯30 Β· β 3.1K) - A Python Perceptual Image Hashing Module. BSD-2
-- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 46 Β· π 380 Β· π₯ 3M Β· π 350 - 9% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 26 Β· π 330 Β· π¦ 14K Β· π 140 - 10% open Β· β±οΈ 20.06.2024):
```
- git clone https://github.com/mindee/doctr
+ git clone https://github.com/JohannesBuchner/imagehash
```
-- [PyPi](https://pypi.org/project/python-doctr) (π₯ 30K / month Β· π¦ 7 Β· β±οΈ 04.03.2024):
+- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.4M / month Β· π¦ 240 Β· β±οΈ 28.09.2022):
```
- pip install python-doctr
+ pip install ImageHash
+ ```
+- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 390K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge imagehash
```
mahotas (π₯29 Β· β 830) - Computer Vision in Python. MIT
+mahotas (π₯30 Β· β 840) - Computer Vision in Python. MIT
-- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 35 Β· π 150 Β· π¦ 1.3K Β· π 89 - 22% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 35 Β· π 150 Β· π¦ 1.3K Β· π 91 - 23% open Β· β±οΈ 17.07.2024):
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (π₯ 15K / month Β· π¦ 60 Β· β±οΈ 17.04.2024):
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 22K / month Β· π¦ 62 Β· β±οΈ 17.07.2024):
```
pip install mahotas
```
-- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 420K Β· β±οΈ 18.05.2024):
+- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 480K Β· β±οΈ 18.07.2024):
```
conda install -c conda-forge mahotas
```
Face Alignment (π₯28 Β· β 6.9K Β· π€) - 2D and 3D Face alignment library build using pytorch. BSD-3
+sahi (π₯29 Β· β 3.9K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.3K Β· π¦ 21 Β· π 320 - 24% open Β· β±οΈ 16.08.2023):
+- [GitHub](https://github.com/obss/sahi) (π¨βπ» 48 Β· π 570 Β· π₯ 27K Β· π¦ 1.3K Β· β±οΈ 27.08.2024):
```
- git clone https://github.com/1adrianb/face-alignment
+ git clone https://github.com/obss/sahi
```
-- [PyPi](https://pypi.org/project/face-alignment) (π₯ 70K / month Β· π¦ 9 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/sahi) (π₯ 190K / month Β· π¦ 26 Β· β±οΈ 10.07.2024):
```
- pip install face-alignment
+ pip install sahi
+ ```
+- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 70K Β· β±οΈ 24.07.2024):
+ ```
+ conda install -c conda-forge sahi
```
facenet-pytorch (π₯28 Β· β 4.2K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
+doctr (π₯29 Β· β 3.5K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 17 Β· π 920 Β· π₯ 1M Β· π¦ 1.8K Β· π 180 - 39% open Β· β±οΈ 05.04.2024):
+- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 50 Β· π 410 Β· π₯ 3.6M Β· π 360 - 10% open Β· β±οΈ 29.08.2024):
```
- git clone https://github.com/timesler/facenet-pytorch
+ git clone https://github.com/mindee/doctr
```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 63K / month Β· π¦ 30 Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/python-doctr) (π₯ 53K / month Β· π¦ 12 Β· β±οΈ 08.08.2024):
```
- pip install facenet-pytorch
+ pip install python-doctr
```
PaddleDetection (π₯27 Β· β 12K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
+Face Alignment (π₯28 Β· β 7K) - 2D and 3D Face alignment library build using pytorch. BSD-3
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 160 Β· π 2.8K Β· π 5.3K - 22% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.3K Β· π¦ 21 Β· π 320 - 24% open Β· β±οΈ 30.08.2024):
```
- git clone https://github.com/PaddlePaddle/PaddleDetection
+ git clone https://github.com/1adrianb/face-alignment
```
-- [PyPi](https://pypi.org/project/paddledet) (π₯ 670 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 84K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
```
- pip install paddledet
+ pip install face-alignment
```
vidgear (π₯27 Β· β 3.2K Β· π€) - A High-performance cross-platform Video Processing Python.. Apache-2
+facenet-pytorch (π₯28 Β· β 4.4K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
-- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 240 Β· π₯ 1.4K Β· π¦ 560 Β· π 280 - 3% open Β· β±οΈ 10.09.2023):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 18 Β· π 940 Β· π₯ 1.2M Β· π¦ 2.2K Β· π 180 - 40% open Β· β±οΈ 02.08.2024):
```
- git clone https://github.com/abhiTronix/vidgear
+ git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/vidgear) (π₯ 16K / month Β· π¦ 13 Β· β±οΈ 10.09.2023):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 64K / month Β· π¦ 51 Β· β±οΈ 29.04.2024):
```
- pip install vidgear
+ pip install facenet-pytorch
```
CellProfiler (π₯27 Β· β 870) - An open-source application for biological image analysis. BSD-3
+CellProfiler (π₯28 Β· β 890) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 370 Β· π₯ 7K Β· π¦ 20 Β· π 3.3K - 9% open Β· β±οΈ 01.05.2024):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 370 Β· π₯ 7.6K Β· π¦ 22 Β· π 3.3K - 9% open Β· β±οΈ 30.08.2024):
```
git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 450 / month Β· π¦ 2 Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 650 / month Β· π¦ 2 Β· β±οΈ 29.07.2024):
```
pip install cellprofiler
```
pytorchvideo (π₯26 Β· β 3.2K) - A deep learning library for video understanding research. Apache-2
+PaddleDetection (π₯27 Β· β 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 55 Β· π 390 Β· π 200 - 50% open Β· β±οΈ 03.03.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 160 Β· π 2.8K Β· π 5.4K - 22% open Β· β±οΈ 11.07.2024):
```
- git clone https://github.com/facebookresearch/pytorchvideo
+ git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 67K / month Β· π¦ 23 Β· β±οΈ 20.01.2022):
+- [PyPi](https://pypi.org/project/paddledet) (π₯ 470 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
```
- pip install pytorchvideo
+ pip install paddledet
```
Norfair (π₯26 Β· β 2.3K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
+Norfair (π₯26 Β· β 2.4K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
-- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 31 Β· π 230 Β· π₯ 310 Β· π¦ 190 Β· π 160 - 10% open Β· β±οΈ 30.01.2024):
+- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 31 Β· π 240 Β· π₯ 320 Β· π¦ 220 Β· π 170 - 14% open Β· β±οΈ 27.07.2024):
```
git clone https://github.com/tryolabs/norfair
```
-- [PyPi](https://pypi.org/project/norfair) (π₯ 18K / month Β· π¦ 4 Β· β±οΈ 30.05.2022):
+- [PyPi](https://pypi.org/project/norfair) (π₯ 20K / month Β· π¦ 7 Β· β±οΈ 30.05.2022):
```
pip install norfair
```
ffcv (π₯25 Β· β 2.8K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
+pytorchvideo (π₯25 Β· β 3.3K) - A deep learning library for video understanding research. Apache-2
-- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 31 Β· π 170 Β· π¦ 45 Β· π 270 - 34% open Β· β±οΈ 06.05.2024):
+- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 56 Β· π 400 Β· π 210 - 50% open Β· β±οΈ 13.08.2024):
```
- git clone https://github.com/libffcv/ffcv
+ git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/ffcv) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
+- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 16K / month Β· π¦ 24 Β· β±οΈ 20.01.2022):
```
- pip install ffcv
+ pip install pytorchvideo
```
pyvips (π₯25 Β· β 600) - python binding for libvips using cffi. MIT
+pyvips (π₯25 Β· β 630) - python binding for libvips using cffi. MIT
-- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 50 Β· π¦ 730 Β· π 420 - 42% open Β· β±οΈ 28.04.2024):
+- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 49 Β· π¦ 790 Β· π 440 - 42% open Β· β±οΈ 26.08.2024):
```
git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/pyvips) (π₯ 46K / month Β· π¦ 73 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/pyvips) (π₯ 53K / month Β· π¦ 77 Β· β±οΈ 28.04.2024):
```
pip install pyvips
```
-- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 87K Β· β±οΈ 28.04.2024):
+- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 120K Β· β±οΈ 28.04.2024):
```
conda install -c conda-forge pyvips
```
MMF (π₯24 Β· β 5.4K) - A modular framework for vision & language multimodal research from.. BSD-3
+MMF (π₯24 Β· β 5.5K) - A modular framework for vision & language multimodal research from.. BSD-3
-- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 920 Β· π¦ 17 Β· π 690 - 21% open Β· β±οΈ 25.05.2024):
+- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 920 Β· π¦ 20 Β· π 690 - 21% open Β· β±οΈ 25.05.2024):
```
git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 200 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 410 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
```
pip install mmf
```
kubric (π₯24 Β· β 2.2K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
+segmentation_models (π₯24 Β· β 4.7K) - Segmentation models with pretrained backbones. Keras.. MIT
-- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 30 Β· π 210 Β· π¦ 4 Β· π 190 - 32% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/qubvel/segmentation_models) (π¨βπ» 15 Β· π 1K Β· π 530 - 48% open Β· β±οΈ 21.08.2024):
```
- git clone https://github.com/google-research/kubric
+ git clone https://github.com/qubvel/segmentation_models
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 2.3K / month Β· β±οΈ 27.12.2023):
+- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 31K / month Β· π¦ 28 Β· β±οΈ 10.01.2020):
```
- pip install kubric-nightly
+ pip install segmentation_models
```
tensorflow-graphics (π₯23 Β· β 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
+ffcv (π₯24 Β· β 2.8K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
-- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 360 Β· π 240 - 61% open Β· β±οΈ 13.03.2024):
+- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 31 Β· π 170 Β· π¦ 53 Β· π 280 - 36% open Β· β±οΈ 06.05.2024):
```
- git clone https://github.com/tensorflow/graphics
+ git clone https://github.com/libffcv/ffcv
```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 37K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
+- [PyPi](https://pypi.org/project/ffcv) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
```
- pip install tensorflow-graphics
+ pip install ffcv
```
PySlowFast (π₯21 Β· β 6.3K Β· π€) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
+tensorflow-graphics (π₯24 Β· β 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 31 Β· π 1.2K Β· π¦ 16 Β· π 680 - 57% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 360 Β· π 240 - 60% open Β· β±οΈ 01.08.2024):
```
- git clone https://github.com/facebookresearch/SlowFast
+ git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 24 / month Β· β±οΈ 15.01.2020):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 13K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
```
- pip install pyslowfast
+ pip install tensorflow-graphics
```
vissl (π₯21 Β· β 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT
+vissl (π₯22 Β· β 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT
-- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 38 Β· π 330 Β· π¦ 40 Β· π 190 - 43% open Β· β±οΈ 03.03.2024):
+- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 38 Β· π 330 Β· π¦ 48 Β· π 190 - 43% open Β· β±οΈ 03.03.2024):
```
git clone https://github.com/facebookresearch/vissl
```
-- [PyPi](https://pypi.org/project/vissl) (π₯ 140 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
+- [PyPi](https://pypi.org/project/vissl) (π₯ 150 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
```
pip install vissl
```
DEβ«ΆTR (π₯20 Β· β 13K) - End-to-End Object Detection with Transformers. Apache-2
+PySlowFast (π₯21 Β· β 6.5K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 27 Β· π 2.3K Β· π¦ 21 Β· π 540 - 47% open Β· β±οΈ 12.03.2024):
+- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 33 Β· π 1.2K Β· π¦ 17 Β· π 680 - 58% open Β· β±οΈ 13.08.2024):
```
- git clone https://github.com/facebookresearch/detr
+ git clone https://github.com/facebookresearch/SlowFast
+ ```
+- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 49 / month Β· β±οΈ 15.01.2020):
+ ```
+ pip install pyslowfast
```
pycls (π₯20 Β· β 2.1K Β· π€) - Codebase for Image Classification Research, written in PyTorch. MIT
+kubric (π₯21 Β· β 2.3K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
-- [GitHub](https://github.com/facebookresearch/pycls) (π¨βπ» 19 Β· π 240 Β· π¦ 18 Β· π 83 - 32% open Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 30 Β· π 220 Β· π¦ 6 Β· π 190 - 33% open Β· β±οΈ 27.06.2024):
```
- git clone https://github.com/facebookresearch/pycls
+ git clone https://github.com/google-research/kubric
+ ```
+- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 4.5K / month Β· β±οΈ 27.12.2023):
+ ```
+ pip install kubric-nightly
```
-- [PyPi](https://pypi.org/project/pycls) (π₯ 1.3K / month Β· β±οΈ 05.09.2020):
+DEβ«ΆTR (π₯20 Β· β 13K) - End-to-End Object Detection with Transformers. Apache-2
+
+- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 27 Β· π 2.4K Β· π¦ 21 Β· π 540 - 47% open Β· β±οΈ 12.03.2024):
+
```
- pip install pycls
+ git clone https://github.com/facebookresearch/detr
```
scenic (π₯18 Β· β 3.1K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
+scenic (π₯18 Β· β 3.2K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 81 Β· π 410 Β· π 260 - 56% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 84 Β· π 420 Β· π 270 - 55% open Β· β±οΈ 28.08.2024):
```
git clone https://github.com/google-research/scenic
@@ -2707,31 +2701,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 26 hidden projects...
-- scikit-image (π₯42 Β· β 5.9K) - Image processing in Python. βUnlicensed
+- scikit-image (π₯42 Β· β 6K) - Image processing in Python. βUnlicensed
- imgaug (π₯37 Β· β 14K Β· π) - Image augmentation for machine learning experiments. MIT
-- glfw (π₯37 Β· β 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. βοΈZlib
-- Face Recognition (π₯33 Β· β 52K Β· π) - The worlds simplest facial recognition api for Python.. MIT βUnlicensed MIT βοΈZlib
+- PyTorch3D (π₯33 Β· β 8.6K) - PyTorch3D is FAIRs library of reusable components for.. βUnlicensed MIT
-- GluonCV (π₯29 Β· β 5.8K Β· π) - Gluon CV Toolkit. Apache-2 MIT Apache-2
+- GluonCV (π₯29 Β· β 5.8K Β· π) - Gluon CV Toolkit. Apache-2 Apache-2
+- mtcnn (π₯27 Β· β 2.2K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT βοΈPIL
- chainercv (π₯27 Β· β 1.5K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
-- Augmentor (π₯26 Β· β 5K Β· π) - Image augmentation library in Python for machine learning. MIT
-- Image Deduplicator (π₯25 Β· β 5K Β· π) - Finding duplicate images made easy!. Apache-2 βοΈPIL
-- segmentation_models (π₯24 Β· β 4.6K Β· π) - Segmentation models with pretrained backbones. Keras.. MIT Apache-2 Apache-2 MIT
- Luminoth (π₯23 Β· β 2.4K Β· π) - Deep Learning toolkit for Computer Vision. BSD-3 MIT
+- Classy Vision (π₯22 Β· β 1.6K Β· π) - An end-to-end PyTorch framework for image and video.. MIT Apache-2
-- Classy Vision (π₯21 Β· β 1.6K Β· π) - An end-to-end PyTorch framework for image and video.. MIT Apache-2 MIT Apache-2
+- pycls (π₯20 Β· β 2.1K Β· π) - Codebase for Image Classification Research, written in PyTorch. MIT MIT
-- detecto (π₯20 Β· β 610 Β· π) - Build fully-functioning computer vision models with PyTorch. MIT Apache-2
-- solt (π₯18 Β· β 260 Β· π) - Streaming over lightweight data transformations. MIT
-- Caer (π₯17 Β· β 750 Β· π) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
-- Torch Points 3D (π₯16 Β· β 200 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 MIT
+- Caer (π₯17 Β· β 760 Β· π) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
+- Torch Points 3D (π₯16 Β· β 210 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 MIT huggingface
@@ -2742,231 +2736,219 @@ _Libraries for image & video processing, manipulation, and augmentation as well
_Libraries for graph processing, clustering, embedding, and machine learning tasks._
-networkx (π₯44 Β· β 14K) - Network Analysis in Python. BSD-3
+networkx (π₯44 Β· β 15K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 720 Β· π 3.2K Β· π₯ 71 Β· π¦ 260K Β· π 3.3K - 10% open Β· β±οΈ 04.06.2024):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 740 Β· π 3.2K Β· π₯ 73 Β· π¦ 290K Β· π 3.4K - 10% open Β· β±οΈ 02.09.2024):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (π₯ 55M / month Β· π¦ 8.5K Β· β±οΈ 06.04.2024):
+- [PyPi](https://pypi.org/project/networkx) (π₯ 64M / month Β· π¦ 9.3K Β· β±οΈ 06.04.2024):
```
pip install networkx
```
-- [Conda](https://anaconda.org/conda-forge/networkx) (π₯ 16M Β· β±οΈ 08.04.2024):
+- [Conda](https://anaconda.org/conda-forge/networkx) (π₯ 17M Β· β±οΈ 08.04.2024):
```
conda install -c conda-forge networkx
```
PyTorch Geometric (π₯38 Β· β 20K) - Graph Neural Network Library for PyTorch. MIT
+PyTorch Geometric (π₯40 Β· β 21K) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 500 Β· π 3.6K Β· π 3.6K - 27% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 520 Β· π 3.6K Β· π¦ 6.4K Β· π 3.7K - 27% open Β· β±οΈ 03.09.2024):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 330K / month Β· π¦ 250 Β· β±οΈ 19.04.2024):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 390K / month Β· π¦ 320 Β· β±οΈ 19.04.2024):
```
pip install torch-geometric
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (π₯ 43K Β· β±οΈ 04.05.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (π₯ 79K Β· β±οΈ 16.08.2024):
```
conda install -c conda-forge pytorch_geometric
```
dgl (π₯38 Β· β 13K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
+dgl (π₯39 Β· β 13K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
-- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 290 Β· π 3K Β· π¦ 250 Β· π 2.8K - 18% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 300 Β· π 3K Β· π¦ 280 Β· π 2.9K - 18% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 110K / month Β· π¦ 130 Β· β±οΈ 13.05.2024):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 110K / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
```
pip install dgl
```
Spektral (π₯29 Β· β 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-
-- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 340 Β· π¦ 300 Β· π 280 - 24% open Β· β±οΈ 21.01.2024):
-
- ```
- git clone https://github.com/danielegrattarola/spektral
- ```
-- [PyPi](https://pypi.org/project/spektral) (π₯ 9.8K / month Β· π¦ 7 Β· β±οΈ 21.01.2024):
- ```
- pip install spektral
- ```
-pygraphistry (π₯29 Β· β 2.1K Β· π) - PyGraphistry is a Python library to quickly load,.. BSD-3
+pygraphistry (π₯30 Β· β 2.1K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
-- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 42 Β· π 200 Β· π¦ 110 Β· π 320 - 51% open Β· β±οΈ 30.04.2024):
+- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 44 Β· π 210 Β· π¦ 120 Β· π 330 - 51% open Β· β±οΈ 03.08.2024):
```
git clone https://github.com/graphistry/pygraphistry
```
-- [PyPi](https://pypi.org/project/graphistry) (π₯ 3.8K / month Β· π¦ 6 Β· β±οΈ 30.04.2024):
+- [PyPi](https://pypi.org/project/graphistry) (π₯ 3.9K / month Β· π¦ 6 Β· β±οΈ 03.08.2024):
```
pip install graphistry
```
AmpliGraph (π₯28 Β· β 2.1K) - Python library for Representation Learning on Knowledge.. Apache-2
-
-- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 21 Β· π 250 Β· π¦ 50 Β· π 220 - 15% open Β· β±οΈ 28.02.2024):
-
- ```
- git clone https://github.com/Accenture/AmpliGraph
- ```
-- [PyPi](https://pypi.org/project/ampligraph) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 26.02.2024):
- ```
- pip install ampligraph
- ```
-ogb (π₯28 Β· β 1.9K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
+ogb (π₯29 Β· β 1.9K Β· π€) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
-- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 1.7K Β· π 290 - 6% open Β· β±οΈ 01.02.2024):
+- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 1.9K Β· π 290 - 7% open Β· β±οΈ 01.02.2024):
```
git clone https://github.com/snap-stanford/ogb
```
-- [PyPi](https://pypi.org/project/ogb) (π₯ 36K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
+- [PyPi](https://pypi.org/project/ogb) (π₯ 100K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
```
pip install ogb
```
-- [Conda](https://anaconda.org/conda-forge/ogb) (π₯ 32K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ogb) (π₯ 36K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ogb
```
PyKEEN (π₯26 Β· β 1.6K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+PyKEEN (π₯29 Β· β 1.6K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 39 Β· π 180 Β· π₯ 180 Β· π 570 - 20% open Β· β±οΈ 31.05.2024):
+- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 41 Β· π 180 Β· π₯ 200 Β· π¦ 240 Β· π 580 - 20% open Β· β±οΈ 04.09.2024):
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (π₯ 6.6K / month Β· π¦ 6 Β· β±οΈ 19.02.2024):
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 6.5K / month Β· π¦ 6 Β· β±οΈ 19.02.2024):
```
pip install pykeen
```
pytorch_geometric_temporal (π₯25 Β· β 2.5K Β· π€) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
+Spektral (π₯28 Β· β 2.4K Β· π€) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 28 Β· π 360 Β· π 190 - 15% open Β· β±οΈ 01.07.2023):
+- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 340 Β· π¦ 320 Β· π 280 - 24% open Β· β±οΈ 21.01.2024):
```
- git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
+ git clone https://github.com/danielegrattarola/spektral
```
-- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 1.8K / month Β· π¦ 3 Β· β±οΈ 04.09.2022):
+- [PyPi](https://pypi.org/project/spektral) (π₯ 11K / month Β· π¦ 7 Β· β±οΈ 21.01.2024):
```
- pip install torch-geometric-temporal
+ pip install spektral
```
Paddle Graph Learning (π₯25 Β· β 1.6K Β· π€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
+Paddle Graph Learning (π₯26 Β· β 1.6K Β· π€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PGL) (π¨βπ» 31 Β· π 310 Β· π¦ 56 Β· π 210 - 26% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/PaddlePaddle/PGL) (π¨βπ» 31 Β· π 310 Β· π¦ 60 Β· π 210 - 26% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/PaddlePaddle/PGL
```
-- [PyPi](https://pypi.org/project/pgl) (π₯ 930 / month Β· π¦ 1 Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/pgl) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 26.09.2023):
```
pip install pgl
```
PyTorch-BigGraph (π₯24 Β· β 3.4K) - Generate embeddings from large-scale graph-structured.. BSD-3
+AmpliGraph (π₯25 Β· β 2.1K Β· π€) - Python library for Representation Learning on Knowledge.. Apache-2
-- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 32 Β· π 440 Β· π₯ 180 Β· π 200 - 32% open Β· β±οΈ 03.03.2024):
+- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 21 Β· π 250 Β· π¦ 55 Β· π 230 - 17% open Β· β±οΈ 28.02.2024):
```
- git clone https://github.com/facebookresearch/PyTorch-BigGraph
+ git clone https://github.com/Accenture/AmpliGraph
```
-- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 560K / month Β· π¦ 2 Β· β±οΈ 14.10.2019):
+- [PyPi](https://pypi.org/project/ampligraph) (π₯ 900 / month Β· π¦ 2 Β· β±οΈ 26.02.2024):
```
- pip install torchbiggraph
+ pip install ampligraph
```
Node2Vec (π₯24 Β· β 1.2K) - Implementation of the node2vec algorithm. MIT
+Node2Vec (π₯25 Β· β 1.2K) - Implementation of the node2vec algorithm. MIT
-- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 15 Β· π 230 Β· π¦ 620 Β· π 92 - 5% open Β· β±οΈ 05.05.2024):
+- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 16 Β· π 240 Β· π¦ 670 Β· π 93 - 5% open Β· β±οΈ 02.08.2024):
```
git clone https://github.com/eliorc/node2vec
```
-- [PyPi](https://pypi.org/project/node2vec) (π₯ 25K / month Β· π¦ 27 Β· β±οΈ 01.08.2022):
+- [PyPi](https://pypi.org/project/node2vec) (π₯ 17K / month Β· π¦ 31 Β· β±οΈ 02.08.2024):
```
pip install node2vec
```
-- [Conda](https://anaconda.org/conda-forge/node2vec) (π₯ 28K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/node2vec) (π₯ 30K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge node2vec
```
torch-cluster (π₯22 Β· β 770) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
+PyTorch-BigGraph (π₯24 Β· β 3.4K) - Generate embeddings from large-scale graph-structured.. BSD-3
+
+- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 32 Β· π 450 Β· π₯ 200 Β· π 200 - 32% open Β· β±οΈ 03.03.2024):
+
+ ```
+ git clone https://github.com/facebookresearch/PyTorch-BigGraph
+ ```
+- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 450K / month Β· π¦ 2 Β· β±οΈ 14.10.2019):
+ ```
+ pip install torchbiggraph
+ ```
+torch-cluster (π₯22 Β· β 800) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
-- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 34 Β· π 140 Β· π 160 - 17% open Β· β±οΈ 29.04.2024):
+- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 34 Β· π 140 Β· π 170 - 21% open Β· β±οΈ 15.08.2024):
```
git clone https://github.com/rusty1s/pytorch_cluster
```
-- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 14K / month Β· π¦ 51 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 13K / month Β· π¦ 62 Β· β±οΈ 12.10.2023):
```
pip install torch-cluster
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 120K Β· β±οΈ 17.05.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 180K Β· β±οΈ 28.08.2024):
```
conda install -c conda-forge pytorch_cluster
```
deepsnap (π₯20 Β· β 530 Β· π€) - Python library assists deep learning on graphs. MIT
+deepsnap (π₯20 Β· β 540 Β· π€) - Python library assists deep learning on graphs. MIT
-- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 18 Β· π 57 Β· π₯ 10 Β· π¦ 100 Β· π 50 - 50% open Β· β±οΈ 11.11.2023):
+- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 18 Β· π 57 Β· π₯ 12 Β· π¦ 110 Β· π 50 - 50% open Β· β±οΈ 11.11.2023):
```
git clone https://github.com/snap-stanford/deepsnap
```
-- [PyPi](https://pypi.org/project/deepsnap) (π₯ 380 / month Β· π¦ 2 Β· β±οΈ 05.09.2021):
+- [PyPi](https://pypi.org/project/deepsnap) (π₯ 530 / month Β· π¦ 2 Β· β±οΈ 05.09.2021):
```
pip install deepsnap
```
Sematch (π₯18 Β· β 420 Β· π€) - semantic similarity framework for knowledge graph. Apache-2
+Sematch (π₯18 Β· β 430 Β· π€) - semantic similarity framework for knowledge graph. Apache-2
-- [GitHub](https://github.com/gsi-upm/sematch) (π¨βπ» 10 Β· π 100 Β· π¦ 46 Β· π 34 - 44% open Β· β±οΈ 07.11.2023):
+- [GitHub](https://github.com/gsi-upm/sematch) (π¨βπ» 10 Β· π 100 Β· π¦ 47 Β· π 34 - 44% open Β· β±οΈ 07.11.2023):
```
git clone https://github.com/gsi-upm/sematch
```
-- [PyPi](https://pypi.org/project/sematch) (π₯ 220 / month Β· β±οΈ 17.04.2017):
+- [PyPi](https://pypi.org/project/sematch) (π₯ 230 / month Β· β±οΈ 17.04.2017):
```
pip install sematch
```
kglib (π₯16 Β· β 550 Β· π€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2
+AutoGL (π₯16 Β· β 1.1K Β· π€) - An autoML framework & toolkit for machine learning on graphs. Apache-2
-- [GitHub](https://github.com/vaticle/typedb-ml) (π¨βπ» 12 Β· π 98 Β· π₯ 220 Β· π 63 - 19% open Β· β±οΈ 18.11.2023):
+- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 15 Β· π 120 Β· π 39 - 35% open Β· β±οΈ 05.02.2024):
```
- git clone https://github.com/vaticle/kglib
+ git clone https://github.com/THUMNLab/AutoGL
```
-- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 77 / month Β· β±οΈ 19.08.2020):
+- [PyPi](https://pypi.org/project/auto-graph-learning) (β±οΈ 23.12.2020):
```
- pip install grakn-kglib
+ pip install auto-graph-learning
```
AutoGL (π₯15 Β· β 1.1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2
+kglib (π₯16 Β· β 550 Β· π€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2
-- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 15 Β· π 120 Β· π 39 - 35% open Β· β±οΈ 05.02.2024):
+- [GitHub](https://github.com/typedb/typedb-ml) (π¨βπ» 13 Β· π 98 Β· π₯ 240 Β· π 63 - 19% open Β· β±οΈ 18.11.2023):
```
- git clone https://github.com/THUMNLab/AutoGL
+ git clone https://github.com/vaticle/kglib
```
-- [PyPi](https://pypi.org/project/auto-graph-learning) (β±οΈ 23.12.2020):
+- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 130 / month Β· β±οΈ 19.08.2020):
```
- pip install auto-graph-learning
+ pip install grakn-kglib
```
OpenNE (π₯14 Β· β 1.7K) - An Open-Source Package for Network Embedding (NE). MIT
+OpenNE (π₯14 Β· β 1.7K Β· π€) - An Open-Source Package for Network Embedding (NE). MIT
- [GitHub](https://github.com/thunlp/OpenNE) (π¨βπ» 12 Β· π 490 Β· π 110 - 9% open Β· β±οΈ 10.01.2024):
@@ -2974,26 +2956,38 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
git clone https://github.com/thunlp/OpenNE
```
GraphVite (π₯13 Β· β 1.2K) - GraphVite: A General and High-performance Graph Embedding System. Apache-2
+
+- [GitHub](https://github.com/DeepGraphLearning/graphvite) (π¨βπ» 1 Β· π 150 Β· π 110 - 46% open Β· β±οΈ 14.06.2024):
+
+ ```
+ git clone https://github.com/DeepGraphLearning/graphvite
+ ```
+- [Conda](https://anaconda.org/milagraph/graphvite) (π₯ 4.8K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c milagraph graphvite
+ ```
+Show 18 hidden projects...
-- igraph (π₯33 Β· β 1.3K) - Python interface for igraph. βοΈGPL-2.0
-- StellarGraph (π₯29 Β· β 2.9K Β· π) - StellarGraph - Machine Learning on Graphs. Apache-2 βοΈLGPL-3.0
-- Karate Club (π₯23 Β· β 2.1K) - Karate Club: An API Oriented Open-source Python Framework for.. βοΈGPL-3.0
-- jraph (π₯22 Β· β 1.3K Β· π) - A Graph Neural Network Library in Jax. Apache-2 Apache-2 βοΈGPL-3.0
+- igraph (π₯34 Β· β 1.3K) - Python interface for igraph. βοΈGPL-2.0
+- StellarGraph (π₯28 Β· β 2.9K Β· π) - StellarGraph - Machine Learning on Graphs. Apache-2 βοΈLGPL-3.0
+- pytorch_geometric_temporal (π₯24 Β· β 2.6K Β· π) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT βοΈGPL-3.0
+- graph-nets (π₯22 Β· β 5.3K Β· π) - Build Graph Nets in Tensorflow. Apache-2 Apache-2 βοΈGPL-3.0
- graph4nlp (π₯21 Β· β 1.7K Β· π) - Graph4nlp is the library for the easy use of Graph.. Apache-2 MIT
+- pyRDF2Vec (π₯21 Β· β 240 Β· π) - Python Implementation and Extension of RDF2Vec. MIT
- DeepWalk (π₯20 Β· β 2.7K Β· π) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
- DeepGraph (π₯19 Β· β 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 MIT
-- GraphEmbedding (π₯16 Β· β 3.6K Β· π) - Implementation and experiments of graph embedding.. MIT Apache-2 MIT Apache-2
-- ptgnn (π₯14 Β· β 370 Β· π) - A PyTorch Graph Neural Network Library. MIT βUnlicensed
+- GraphGym (π₯18 Β· β 1.7K Β· π) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
+- Euler (π₯16 Β· β 2.9K Β· π) - A distributed graph deep learning framework. Apache-2 MIT MIT MIT βUnlicensed
@@ -3003,259 +2997,237 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
_Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
-speechbrain (π₯38 Β· β 8.1K) - A PyTorch-based Speech Toolkit. Apache-2
+speechbrain (π₯40 Β· β 8.5K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 240 Β· π 1.3K Β· π¦ 1.9K Β· π 1.1K - 12% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 240 Β· π 1.4K Β· π¦ 2.2K Β· π 1.1K - 13% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (π₯ 2.3M / month Β· π¦ 31 Β· β±οΈ 26.02.2024):
+- [PyPi](https://pypi.org/project/speechbrain) (π₯ 4M / month Β· π¦ 62 Β· β±οΈ 02.09.2024):
```
pip install speechbrain
```
espnet (π₯37 Β· β 8K) - End-to-End Speech Processing Toolkit. Apache-2
+espnet (π₯37 Β· β 8.3K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 430 Β· π 2.1K Β· π₯ 79 Β· π¦ 340 Β· π 2.4K - 13% open Β· β±οΈ 04.06.2024):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 450 Β· π 2.1K Β· π₯ 81 Β· π¦ 370 Β· π 2.4K - 14% open Β· β±οΈ 04.09.2024):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (π₯ 34K / month Β· π¦ 12 Β· β±οΈ 06.02.2024):
+- [PyPi](https://pypi.org/project/espnet) (π₯ 50K / month Β· π¦ 12 Β· β±οΈ 06.02.2024):
```
pip install espnet
```
SpeechRecognition (π₯36 Β· β 8.1K) - Speech recognition module for Python, supporting several.. BSD-3
+Coqui TTS (π₯35 Β· β 33K Β· π€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 50 Β· π 2.4K Β· π¦ 21 Β· π 640 - 50% open Β· β±οΈ 05.05.2024):
+- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 160 Β· π 4K Β· π₯ 2.9M Β· π¦ 1.6K Β· π 1.1K - 6% open Β· β±οΈ 10.02.2024):
```
- git clone https://github.com/Uberi/speech_recognition
+ git clone https://github.com/coqui-ai/TTS
```
-- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 930K / month Β· π¦ 500 Β· β±οΈ 05.05.2024):
+- [PyPi](https://pypi.org/project/tts) (π₯ 99K / month Β· π¦ 51 Β· β±οΈ 12.12.2023):
```
- pip install SpeechRecognition
+ pip install tts
```
-- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 190K Β· β±οΈ 06.05.2024):
+- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 16K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge speechrecognition
+ conda install -c conda-forge tts
```
Coqui TTS (π₯35 Β· β 31K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
+torchaudio (π₯35 Β· β 2.5K) - Data manipulation and transformation for audio signal.. BSD-2
-- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 160 Β· π 3.6K Β· π₯ 2.2M Β· π¦ 1.3K Β· π 1K - 8% open Β· β±οΈ 10.02.2024):
+- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 230 Β· π 640 Β· π 980 - 25% open Β· β±οΈ 27.08.2024):
```
- git clone https://github.com/coqui-ai/TTS
- ```
-- [PyPi](https://pypi.org/project/tts) (π₯ 120K / month Β· π¦ 46 Β· β±οΈ 12.12.2023):
- ```
- pip install tts
+ git clone https://github.com/pytorch/audio
```
-- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 12K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 6.2M / month Β· π¦ 1.3K Β· β±οΈ 04.09.2024):
```
- conda install -c conda-forge tts
+ pip install torchaudio
```
torchaudio (π₯35 Β· β 2.4K) - Data manipulation and transformation for audio signal.. BSD-2
+SpeechRecognition (π₯33 Β· β 8.3K Β· π) - Speech recognition module for Python, supporting.. BSD-3
-- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 220 Β· π 630 Β· π 950 - 24% open Β· β±οΈ 14.05.2024):
+- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 51 Β· π 2.4K Β· π¦ 21 Β· π 640 - 50% open Β· β±οΈ 13.08.2024):
```
- git clone https://github.com/pytorch/audio
+ git clone https://github.com/Uberi/speech_recognition
```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 4.9M / month Β· π¦ 1.1K Β· β±οΈ 05.06.2024):
+- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 1.1M / month Β· π¦ 550 Β· β±οΈ 05.05.2024):
```
- pip install torchaudio
+ pip install SpeechRecognition
+ ```
+- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 200K Β· β±οΈ 06.05.2024):
+ ```
+ conda install -c conda-forge speechrecognition
```
librosa (π₯34 Β· β 6.8K) - Python library for audio and music analysis. ISC
+librosa (π₯33 Β· β 7K) - Python library for audio and music analysis. ISC
-- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 930 Β· π 1.2K - 4% open Β· β±οΈ 03.06.2024):
+- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 950 Β· π 1.2K - 4% open Β· β±οΈ 19.08.2024):
```
git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/librosa) (π₯ 2.8M / month Β· π¦ 1.2K Β· β±οΈ 14.05.2024):
+- [PyPi](https://pypi.org/project/librosa) (π₯ 2.7M / month Β· π¦ 1.3K Β· β±οΈ 14.05.2024):
```
pip install librosa
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 750K Β· β±οΈ 15.05.2024):
+- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 800K Β· β±οΈ 15.05.2024):
```
conda install -c conda-forge librosa
```
Magenta (π₯32 Β· β 19K Β· π€) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
+Magenta (π₯31 Β· β 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
-- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.7K Β· π¦ 510 Β· π 1K - 41% open Β· β±οΈ 11.07.2023):
+- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.7K Β· π¦ 530 Β· π 1K - 41% open Β· β±οΈ 01.08.2024):
```
git clone https://github.com/magenta/magenta
```
-- [PyPi](https://pypi.org/project/magenta) (π₯ 4.4K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
+- [PyPi](https://pypi.org/project/magenta) (π₯ 4.2K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
```
pip install magenta
```
spleeter (π₯30 Β· β 25K Β· π€) - Deezer source separation library including pretrained models. MIT
+Porcupine (π₯30 Β· β 3.7K) - On-device wake word detection powered by deep learning. Apache-2
-- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 19 Β· π 2.7K Β· π₯ 3.2M Β· π¦ 720 Β· π 790 - 29% open Β· β±οΈ 13.07.2023):
+- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 38 Β· π 500 Β· π¦ 33 Β· β±οΈ 30.08.2024):
```
- git clone https://github.com/deezer/spleeter
- ```
-- [PyPi](https://pypi.org/project/spleeter) (π₯ 15K / month Β· π¦ 6 Β· β±οΈ 10.06.2022):
- ```
- pip install spleeter
+ git clone https://github.com/Picovoice/Porcupine
```
-- [Conda](https://anaconda.org/conda-forge/spleeter) (π₯ 83K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 10K / month Β· π¦ 33 Β· β±οΈ 27.08.2024):
```
- conda install -c conda-forge spleeter
+ pip install pvporcupine
```
Porcupine (π₯29 Β· β 3.5K) - On-device wake word detection powered by deep learning. Apache-2
+audioread (π₯30 Β· β 480 Β· π€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT
-- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 37 Β· π 470 Β· π¦ 28 Β· π 540 - 1% open Β· β±οΈ 18.04.2024):
+- [GitHub](https://github.com/beetbox/audioread) (π¨βπ» 25 Β· π 110 Β· π¦ 23K Β· π 94 - 39% open Β· β±οΈ 15.12.2023):
```
- git clone https://github.com/Picovoice/Porcupine
+ git clone https://github.com/beetbox/audioread
```
-- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 8K / month Β· π¦ 15 Β· β±οΈ 30.01.2024):
+- [PyPi](https://pypi.org/project/audioread) (π₯ 2M / month Β· π¦ 130 Β· β±οΈ 27.09.2023):
```
- pip install pvporcupine
+ pip install audioread
+ ```
+- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 850K Β· β±οΈ 03.09.2024):
+ ```
+ conda install -c conda-forge audioread
```
audiomentations (π₯29 Β· β 1.7K) - A Python library for audio data augmentation. Inspired by.. MIT
+audiomentations (π₯29 Β· β 1.8K) - A Python library for audio data augmentation. Inspired by.. MIT
-- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 29 Β· π 180 Β· π¦ 490 Β· π 180 - 26% open Β· β±οΈ 29.04.2024):
+- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 29 Β· π 190 Β· π¦ 560 Β· π 180 - 25% open Β· β±οΈ 04.09.2024):
```
git clone https://github.com/iver56/audiomentations
```
-- [PyPi](https://pypi.org/project/audiomentations) (π₯ 21K / month Β· π¦ 13 Β· β±οΈ 15.03.2024):
+- [PyPi](https://pypi.org/project/audiomentations) (π₯ 46K / month Β· π¦ 18 Β· β±οΈ 03.09.2024):
```
pip install audiomentations
```
audioread (π₯29 Β· β 480) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT
+python-soundfile (π₯29 Β· β 700 Β· π) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3
-- [GitHub](https://github.com/beetbox/audioread) (π¨βπ» 25 Β· π 110 Β· π¦ 21K Β· π 94 - 39% open Β· β±οΈ 15.12.2023):
+- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 34 Β· π 110 Β· π₯ 20K Β· π¦ 41K Β· π 260 - 46% open Β· β±οΈ 27.07.2024):
```
- git clone https://github.com/beetbox/audioread
+ git clone https://github.com/bastibe/python-soundfile
```
-- [PyPi](https://pypi.org/project/audioread) (π₯ 1.9M / month Β· π¦ 120 Β· β±οΈ 27.09.2023):
+- [PyPi](https://pypi.org/project/soundfile) (π₯ 4.6M / month Β· π¦ 780 Β· β±οΈ 15.02.2023):
```
- pip install audioread
+ pip install soundfile
```
-- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 780K Β· β±οΈ 30.09.2023):
+- [Conda](https://anaconda.org/anaconda/pysoundfile):
```
- conda install -c conda-forge audioread
+ conda install -c anaconda pysoundfile
```
pyAudioAnalysis (π₯28 Β· β 5.7K Β· π€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
+pyAudioAnalysis (π₯28 Β· β 5.8K Β· π€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 460 Β· π 320 - 61% open Β· β±οΈ 22.10.2023):
+- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 500 Β· π 320 - 62% open Β· β±οΈ 22.10.2023):
```
git clone https://github.com/tyiannak/pyAudioAnalysis
```
-- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 21K / month Β· π¦ 12 Β· β±οΈ 07.02.2022):
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 10K / month Β· π¦ 12 Β· β±οΈ 07.02.2022):
```
pip install pyAudioAnalysis
```
Madmom (π₯26 Β· β 1.3K Β· π€) - Python audio and music signal processing library. BSD-3
+Madmom (π₯27 Β· β 1.3K) - Python audio and music signal processing library. BSD-3
-- [GitHub](https://github.com/CPJKU/madmom) (π¨βπ» 20 Β· π 200 Β· π¦ 420 Β· π 280 - 23% open Β· β±οΈ 10.09.2023):
+- [GitHub](https://github.com/CPJKU/madmom) (π¨βπ» 24 Β· π 200 Β· π¦ 430 Β· π 280 - 24% open Β· β±οΈ 25.08.2024):
```
git clone https://github.com/CPJKU/madmom
```
-- [PyPi](https://pypi.org/project/madmom) (π₯ 1.9K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
+- [PyPi](https://pypi.org/project/madmom) (π₯ 2K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
```
pip install madmom
```
DDSP (π₯25 Β· β 2.8K Β· π€) - DDSP: Differentiable Digital Signal Processing. Apache-2
-
-- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 320 Β· π¦ 54 Β· π 170 - 28% open Β· β±οΈ 30.06.2023):
-
- ```
- git clone https://github.com/magenta/ddsp
- ```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 1.5K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
- ```
- pip install ddsp
- ```
-- [Conda](https://anaconda.org/conda-forge/ddsp) (π₯ 16K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge ddsp
- ```
-tinytag (π₯25 Β· β 670) - Python library for reading audio file metadata, duration of MP3, OGG,.. MIT
+tinytag (π₯25 Β· β 690) - Python library for reading audio file metadata. MIT
-- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 27 Β· π 100 Β· π 120 - 12% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/tinytag/tinytag) (π¨βπ» 27 Β· π 100 Β· π 120 - 12% open Β· β±οΈ 29.08.2024):
```
git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 25K / month Β· π¦ 100 Β· β±οΈ 26.10.2023):
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 25K / month Β· π¦ 110 Β· β±οΈ 26.10.2023):
```
pip install tinytag
```
python-soundfile (π₯25 Β· β 670) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
+DDSP (π₯23 Β· β 2.9K) - DDSP: Differentiable Digital Signal Processing. Apache-2
-- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 33 Β· π 100 Β· π₯ 19K Β· π 250 - 46% open Β· β±οΈ 05.01.2024):
+- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 320 Β· π¦ 58 Β· π 170 - 28% open Β· β±οΈ 17.06.2024):
```
- git clone https://github.com/bastibe/python-soundfile
+ git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/soundfile) (π₯ 3.2M / month Β· π¦ 620 Β· β±οΈ 15.02.2023):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
```
- pip install soundfile
+ pip install ddsp
```
-- [Conda](https://anaconda.org/anaconda/pysoundfile):
+- [Conda](https://anaconda.org/conda-forge/ddsp) (π₯ 18K Β· β±οΈ 16.06.2023):
```
- conda install -c anaconda pysoundfile
+ conda install -c conda-forge ddsp
```
nnAudio (π₯22 Β· β 970) - Audio processing by using pytorch 1D convolution network. MIT
+nnAudio (π₯22 Β· β 1K Β· π€) - Audio processing by using pytorch 1D convolution network. MIT
-- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 90 Β· π¦ 180 Β· π 62 - 29% open Β· β±οΈ 13.02.2024):
+- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 89 Β· π¦ 200 Β· π 63 - 28% open Β· β±οΈ 13.02.2024):
```
git clone https://github.com/KinWaiCheuk/nnAudio
```
-- [PyPi](https://pypi.org/project/nnAudio) (π₯ 11K / month Β· π¦ 4 Β· β±οΈ 13.02.2024):
+- [PyPi](https://pypi.org/project/nnAudio) (π₯ 13K / month Β· π¦ 4 Β· β±οΈ 13.02.2024):
```
pip install nnAudio
```
textlesslib (π₯10 Β· β 510 Β· π€) - Library for Textless Spoken Language Processing. MIT
-
-- [GitHub](https://github.com/facebookresearch/textlesslib) (π¨βπ» 8 Β· π 51 Β· π 25 - 56% open Β· β±οΈ 29.08.2023):
-
- ```
- git clone https://github.com/facebookresearch/textlesslib
- ```
-Show 11 hidden projects...
+Show 13 hidden projects...
-- Pydub (π₯35 Β· β 8.5K Β· π) - Manipulate audio with a simple and easy high level interface. MIT
-- DeepSpeech (π₯33 Β· β 25K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 βοΈGPL-3.0
-- Essentia (π₯28 Β· β 2.7K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
-- TTS (π₯26 Β· β 8.9K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
-- python_speech_features (π₯24 Β· β 2.3K Β· π) - This library provides common speech features for ASR.. MIT
-- Dejavu (π₯23 Β· β 6.3K Β· π) - Audio fingerprinting and recognition in Python. MIT
-- kapre (π₯23 Β· β 920 Β· π) - kapre: Keras Audio Preprocessors. MIT MIT βοΈAGPL-3.0
+- Pydub (π₯35 Β· β 8.7K Β· π) - Manipulate audio with a simple and easy high level interface. MIT
+- DeepSpeech (π₯34 Β· β 25K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 MIT βοΈGPL-3.0
+- Essentia (π₯28 Β· β 2.8K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
+- TTS (π₯26 Β· β 9.2K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
+- python_speech_features (π₯24 Β· β 2.4K Β· π) - This library provides common speech features for ASR.. MIT
+- Dejavu (π₯23 Β· β 6.4K Β· π) - Audio fingerprinting and recognition in Python. MIT
+- kapre (π₯22 Β· β 920 Β· π) - kapre: Keras Audio Preprocessors. MIT βοΈAGPL-3.0
+- Julius (π₯21 Β· β 420 Β· π) - Fast PyTorch based DSP for audio and 1D signals. MIT ISC
+- textlesslib (π₯10 Β· β 520 Β· π) - Library for Textless Spoken Language Processing. MIT
@@ -3267,261 +3239,246 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (π₯43 Β· β 12K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 260 Β· π 2K Β· π¦ 7.7K Β· π 3K - 10% open Β· β±οΈ 04.06.2024):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 270 Β· π 2.1K Β· π¦ 8K Β· π 3.1K - 11% open Β· β±οΈ 04.09.2024):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (π₯ 3.7M / month Β· π¦ 88 Β· β±οΈ 10.05.2024):
+- [PyPi](https://pypi.org/project/pydeck) (π₯ 4.6M / month Β· π¦ 100 Β· β±οΈ 10.05.2024):
```
pip install pydeck
```
-- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 530K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 600K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pydeck
```
-- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 460K / month Β· π¦ 290 Β· β±οΈ 29.05.2024):
+- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 640K / month Β· π¦ 300 Β· β±οΈ 04.09.2024):
```
npm install deck.gl
```
folium (π₯40 Β· β 6.7K) - Python Data. Leaflet.js Maps. MIT
+Shapely (π₯40 Β· β 3.8K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 38K Β· π 1.1K - 7% open Β· β±οΈ 03.06.2024):
+- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 160 Β· π 560 Β· π₯ 3.6K Β· π¦ 78K Β· π 1.2K - 23% open Β· β±οΈ 03.09.2024):
```
- git clone https://github.com/python-visualization/folium
+ git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/folium) (π₯ 1.2M / month Β· π¦ 660 Β· β±οΈ 29.02.2024):
+- [PyPi](https://pypi.org/project/shapely) (π₯ 32M / month Β· π¦ 2.9K Β· β±οΈ 19.08.2024):
```
- pip install folium
+ pip install shapely
```
-- [Conda](https://anaconda.org/conda-forge/folium) (π₯ 2.8M Β· β±οΈ 29.02.2024):
+- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 10M Β· β±οΈ 03.09.2024):
```
- conda install -c conda-forge folium
+ conda install -c conda-forge shapely
```
GeoPandas (π₯40 Β· β 4.3K) - Python tools for geographic data. BSD-3
+folium (π₯39 Β· β 6.8K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 220 Β· π 900 Β· π₯ 2.5K Β· π¦ 36K Β· π 1.7K - 26% open Β· β±οΈ 04.06.2024):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 42K Β· π 1.1K - 7% open Β· β±οΈ 04.09.2024):
```
- git clone https://github.com/geopandas/geopandas
+ git clone https://github.com/python-visualization/folium
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 6.1M / month Β· π¦ 2.5K Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/folium) (π₯ 1.4M / month Β· π¦ 710 Β· β±οΈ 16.06.2024):
```
- pip install geopandas
+ pip install folium
```
-- [Conda](https://anaconda.org/conda-forge/geopandas) (π₯ 3.7M Β· β±οΈ 28.04.2024):
+- [Conda](https://anaconda.org/conda-forge/folium) (π₯ 3M Β· β±οΈ 17.06.2024):
```
- conda install -c conda-forge geopandas
+ conda install -c conda-forge folium
```
Shapely (π₯39 Β· β 3.7K) - Manipulation and analysis of geometric objects. BSD-3
+GeoPandas (π₯39 Β· β 4.4K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 150 Β· π 560 Β· π₯ 3.3K Β· π¦ 71K Β· π 1.2K - 22% open Β· β±οΈ 14.05.2024):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 230 Β· π 920 Β· π₯ 2.7K Β· π¦ 40K Β· π 1.7K - 25% open Β· β±οΈ 01.09.2024):
```
- git clone https://github.com/shapely/shapely
+ git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/shapely) (π₯ 27M / month Β· π¦ 2.5K Β· β±οΈ 16.04.2024):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 6.6M / month Β· π¦ 2.7K Β· β±οΈ 02.07.2024):
```
- pip install shapely
+ pip install geopandas
```
-- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 9.4M Β· β±οΈ 16.05.2024):
+- [Conda](https://anaconda.org/conda-forge/geopandas) (π₯ 3.9M Β· β±οΈ 02.07.2024):
```
- conda install -c conda-forge shapely
+ conda install -c conda-forge geopandas
```
Rasterio (π₯37 Β· β 2.2K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 160 Β· π 520 Β· π₯ 860 Β· π¦ 12K Β· π 1.8K - 8% open Β· β±οΈ 10.05.2024):
+- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 160 Β· π 520 Β· π₯ 920 Β· π¦ 13K Β· π 1.8K - 7% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/rasterio/rasterio
```
-- [PyPi](https://pypi.org/project/rasterio) (π₯ 2.8M / month Β· π¦ 1.3K Β· β±οΈ 16.04.2024):
+- [PyPi](https://pypi.org/project/rasterio) (π₯ 3.2M / month Β· π¦ 1.4K Β· β±οΈ 04.09.2024):
```
pip install rasterio
```
-- [Conda](https://anaconda.org/conda-forge/rasterio) (π₯ 3M Β· β±οΈ 06.06.2024):
+- [Conda](https://anaconda.org/conda-forge/rasterio) (π₯ 3.5M Β· β±οΈ 04.09.2024):
```
conda install -c conda-forge rasterio
```
Fiona (π₯37 Β· β 1.1K) - Fiona reads and writes geographic data files. BSD-3
-- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 74 Β· π 200 Β· π¦ 20K Β· π 790 - 4% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 74 Β· π 200 Β· π¦ 22K Β· π 800 - 3% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/fiona) (π₯ 6.1M / month Β· π¦ 190 Β· β±οΈ 16.04.2024):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 5M / month Β· π¦ 260 Β· β±οΈ 04.09.2024):
```
pip install fiona
```
-- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 5.6M Β· β±οΈ 21.05.2024):
+- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 5.9M Β· β±οΈ 04.09.2024):
```
conda install -c conda-forge fiona
```
ArcGIS API (π₯35 Β· β 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2
+
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 91 Β· π 1.1K Β· π₯ 12K Β· π¦ 820 Β· π 750 - 9% open Β· β±οΈ 04.09.2024):
+
+ ```
+ git clone https://github.com/Esri/arcgis-python-api
+ ```
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 72K / month Β· π¦ 40 Β· β±οΈ 09.07.2024):
+ ```
+ pip install arcgis
+ ```
+- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):
+ ```
+ docker pull esridocker/arcgis-api-python-notebook
+ ```
+pyproj (π₯35 Β· β 1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 65 Β· π 210 Β· π¦ 31K Β· π 610 - 5% open Β· β±οΈ 02.06.2024):
+- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 65 Β· π 210 Β· π¦ 33K Β· π 620 - 5% open Β· β±οΈ 30.08.2024):
```
git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/pyproj) (π₯ 8.5M / month Β· π¦ 1.5K Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/pyproj) (π₯ 8.8M / month Β· π¦ 1.7K Β· β±οΈ 21.09.2023):
```
pip install pyproj
```
-- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 7.7M Β· β±οΈ 01.05.2024):
+- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 8.4M Β· β±οΈ 04.09.2024):
```
conda install -c conda-forge pyproj
```
ArcGIS API (π₯34 Β· β 1.8K) - Documentation and samples for ArcGIS API for Python. Apache-2
+geopy (π₯33 Β· β 4.4K Β· π€) - Geocoding library for Python. MIT
-- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 91 Β· π 1.1K Β· π₯ 11K Β· π¦ 760 Β· π 730 - 9% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 640 Β· π₯ 75 Β· π 290 - 13% open Β· β±οΈ 23.11.2023):
```
- git clone https://github.com/Esri/arcgis-python-api
+ git clone https://github.com/geopy/geopy
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 68K / month Β· π¦ 36 Β· β±οΈ 28.05.2024):
+- [PyPi](https://pypi.org/project/geopy) (π₯ 5.8M / month Β· π¦ 870 Β· β±οΈ 23.11.2023):
```
- pip install arcgis
+ pip install geopy
```
-- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):
+- [Conda](https://anaconda.org/conda-forge/geopy) (π₯ 1.4M Β· β±οΈ 28.02.2024):
```
- docker pull esridocker/arcgis-api-python-notebook
+ conda install -c conda-forge geopy
```
ipyleaflet (π₯34 Β· β 1.5K) - A Jupyter - Leaflet.js bridge. MIT
+ipyleaflet (π₯33 Β· β 1.5K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 88 Β· π 360 Β· π¦ 9.2K Β· π 630 - 43% open Β· β±οΈ 29.05.2024):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 90 Β· π 360 Β· π¦ 11K Β· π 650 - 44% open Β· β±οΈ 22.07.2024):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 140K / month Β· π¦ 250 Β· β±οΈ 14.05.2024):
+- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 260K / month Β· π¦ 270 Β· β±οΈ 22.07.2024):
```
pip install ipyleaflet
```
-- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (π₯ 1.2M Β· β±οΈ 14.05.2024):
+- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (π₯ 1.2M Β· β±οΈ 22.07.2024):
```
conda install -c conda-forge ipyleaflet
```
-- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 11K / month Β· π¦ 9 Β· β±οΈ 13.05.2024):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 6.5K / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
```
npm install jupyter-leaflet
```
geopy (π₯32 Β· β 4.3K Β· π€) - Geocoding library for Python. MIT
-
-- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 630 Β· π₯ 48 Β· π 290 - 13% open Β· β±οΈ 23.11.2023):
-
- ```
- git clone https://github.com/geopy/geopy
- ```
-- [PyPi](https://pypi.org/project/geopy) (π₯ 5.2M / month Β· π¦ 790 Β· β±οΈ 23.11.2023):
- ```
- pip install geopy
- ```
-- [Conda](https://anaconda.org/conda-forge/geopy) (π₯ 1.3M Β· β±οΈ 28.02.2024):
- ```
- conda install -c conda-forge geopy
- ```
-PySAL (π₯30 Β· β 1.3K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
+PySAL (π₯32 Β· β 1.3K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 78 Β· π 280 Β· π¦ 1.5K Β· π 630 - 3% open Β· β±οΈ 15.03.2024):
+- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 79 Β· π 300 Β· π¦ 1.6K Β· π 650 - 2% open Β· β±οΈ 31.07.2024):
```
git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 29K / month Β· π¦ 39 Β· β±οΈ 31.01.2024):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 39K / month Β· π¦ 49 Β· β±οΈ 30.07.2024):
```
pip install pysal
```
-- [Conda](https://anaconda.org/conda-forge/pysal) (π₯ 550K Β· β±οΈ 04.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pysal) (π₯ 570K Β· β±οΈ 30.07.2024):
```
conda install -c conda-forge pysal
```
geojson (π₯29 Β· β 890) - Python bindings and utilities for GeoJSON. BSD-3
+geojson (π₯29 Β· β 910) - Python bindings and utilities for GeoJSON. BSD-3
-- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 56 Β· π 120 Β· π¦ 17K Β· π 100 - 26% open Β· β±οΈ 25.03.2024):
+- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 56 Β· π 120 Β· π¦ 18K Β· π 100 - 25% open Β· β±οΈ 08.08.2024):
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 1.7M / month Β· π¦ 660 Β· β±οΈ 05.11.2023):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 2.2M / month Β· π¦ 690 Β· β±οΈ 05.11.2023):
```
pip install geojson
```
-- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 810K Β· β±οΈ 06.11.2023):
+- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 840K Β· β±οΈ 06.11.2023):
```
conda install -c conda-forge geojson
```
GeoViews (π₯29 Β· β 570) - Simple, concise geographical visualization in Python. BSD-3
+GeoViews (π₯29 Β· β 590) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 32 Β· π 75 Β· π¦ 1K Β· π 340 - 31% open Β· β±οΈ 03.06.2024):
+- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 32 Β· π 75 Β· π¦ 1.1K Β· π 340 - 30% open Β· β±οΈ 01.08.2024):
```
git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/geoviews) (π₯ 13K / month Β· π¦ 56 Β· β±οΈ 05.04.2024):
+- [PyPi](https://pypi.org/project/geoviews) (π₯ 14K / month Β· π¦ 57 Β· β±οΈ 02.08.2024):
```
pip install geoviews
```
-- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 220K Β· β±οΈ 05.04.2024):
+- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 240K Β· β±οΈ 05.04.2024):
```
conda install -c conda-forge geoviews
```
EarthPy (π₯27 Β· β 480 Β· π€) - A package built to support working with spatial data using open.. BSD-3
-
-- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 44 Β· π 150 Β· π¦ 330 Β· π 230 - 11% open Β· β±οΈ 23.08.2023):
-
- ```
- git clone https://github.com/earthlab/earthpy
- ```
-- [PyPi](https://pypi.org/project/earthpy) (π₯ 9.7K / month Β· π¦ 17 Β· β±οΈ 01.10.2021):
- ```
- pip install earthpy
- ```
-- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 77K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge earthpy
- ```
-pymap3d (π₯25 Β· β 370) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
+pymap3d (π₯23 Β· β 380 Β· π€) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2
-- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 18 Β· π 85 Β· π¦ 410 Β· π 56 - 12% open Β· β±οΈ 11.02.2024):
+- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 18 Β· π 87 Β· π¦ 430 Β· π 58 - 15% open Β· β±οΈ 11.02.2024):
```
git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/pymap3d) (π₯ 140K / month Β· π¦ 43 Β· β±οΈ 11.02.2024):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 190K / month Β· π¦ 44 Β· β±οΈ 11.02.2024):
```
pip install pymap3d
```
-- [Conda](https://anaconda.org/conda-forge/pymap3d) (π₯ 72K Β· β±οΈ 11.02.2024):
+- [Conda](https://anaconda.org/conda-forge/pymap3d) (π₯ 80K Β· β±οΈ 11.02.2024):
```
conda install -c conda-forge pymap3d
```
Show 7 hidden projects...
+Show 8 hidden projects...
-- Geocoder (π₯33 Β· β 1.6K Β· π) - Python Geocoder. MIT
+- Geocoder (π₯32 Β· β 1.6K Β· π) - Python Geocoder. MIT
- Satpy (π₯32 Β· β 1K) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
-- Sentinelsat (π₯26 Β· β 960) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
+- Sentinelsat (π₯26 Β· β 970 Β· π€) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
+- EarthPy (π₯26 Β· β 490 Β· π) - A package built to support working with spatial data using open.. BSD-3
+- prettymaps (π₯24 Β· β 11K) - A small set of Python functions to draw pretty maps from.. βοΈAGPL-3.0
- Mapbox GL (π₯24 Β· β 660 Β· π) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT βοΈAGPL-3.0
-- gmaps (π₯23 Β· β 760 Β· π) - Google maps for Jupyter notebooks. BSD-3 MIT
+- gmaps (π₯22 Β· β 760 Β· π) - Google maps for Jupyter notebooks. BSD-3 MIT
@@ -3531,193 +3488,182 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
_Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._
-yfinance (π₯40 Β· β 12K) - Download market data from Yahoo! Finances API. Apache-2
+yfinance (π₯41 Β· β 13K) - Download market data from Yahoo! Finances API. Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 110 Β· π 2.2K Β· π¦ 39K Β· π 1.3K - 12% open Β· β±οΈ 04.06.2024):
+- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 120 Β· π 2.3K Β· π¦ 46K Β· π 1.3K - 13% open Β· β±οΈ 26.08.2024):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (π₯ 1.7M / month Β· π¦ 560 Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/yfinance) (π₯ 2M / month Β· π¦ 630 Β· β±οΈ 24.08.2024):
```
pip install yfinance
```
-- [Conda](https://anaconda.org/ranaroussi/yfinance) (π₯ 91K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/ranaroussi/yfinance) (π₯ 94K Β· β±οΈ 16.06.2023):
```
conda install -c ranaroussi yfinance
```
Qlib (π₯31 Β· β 14K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
+Qlib (π₯31 Β· β 15K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
-- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 130 Β· π 2.5K Β· π₯ 580 Β· π¦ 21 Β· π 910 - 24% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 130 Β· π 2.6K Β· π₯ 680 Β· π¦ 21 Β· π 930 - 25% open Β· β±οΈ 30.08.2024):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 3.9K / month Β· π¦ 1 Β· β±οΈ 24.05.2024):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 1.9K / month Β· π¦ 1 Β· β±οΈ 24.05.2024):
```
pip install pyqlib
```
ta (π₯30 Β· β 4.1K Β· π€) - Technical Analysis Library using Pandas and Numpy. MIT
+ta (π₯31 Β· β 4.2K Β· π€) - Technical Analysis Library using Pandas and Numpy. MIT
-- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 34 Β· π 840 Β· π¦ 3.5K Β· π 240 - 56% open Β· β±οΈ 02.11.2023):
+- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 34 Β· π 860 Β· π¦ 4K Β· π 240 - 56% open Β· β±οΈ 02.11.2023):
```
git clone https://github.com/bukosabino/ta
```
-- [PyPi](https://pypi.org/project/ta) (π₯ 130K / month Β· π¦ 89 Β· β±οΈ 02.11.2023):
+- [PyPi](https://pypi.org/project/ta) (π₯ 160K / month Β· π¦ 100 Β· β±οΈ 02.11.2023):
```
pip install ta
```
-- [Conda](https://anaconda.org/conda-forge/ta) (π₯ 26K Β· β±οΈ 02.11.2023):
+- [Conda](https://anaconda.org/conda-forge/ta) (π₯ 29K Β· β±οΈ 02.11.2023):
```
conda install -c conda-forge ta
```
ffn (π₯29 Β· β 1.8K) - ffn - a financial function library for Python. MIT
+bt (π₯31 Β· β 2.2K Β· π) - bt - flexible backtesting for Python. MIT
-- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 33 Β· π 280 Β· π¦ 460 Β· π 120 - 17% open Β· β±οΈ 09.05.2024):
+- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 34 Β· π 410 Β· π¦ 1.6K Β· π 340 - 22% open Β· β±οΈ 06.08.2024):
```
- git clone https://github.com/pmorissette/ffn
+ git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/ffn) (π₯ 150K / month Β· π¦ 16 Β· β±οΈ 31.12.2023):
+- [PyPi](https://pypi.org/project/bt) (π₯ 7.2K / month Β· π¦ 10 Β· β±οΈ 06.08.2024):
```
- pip install ffn
+ pip install bt
```
-- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 7.6K Β· β±οΈ 31.12.2023):
+- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 41K Β· β±οΈ 06.08.2024):
```
- conda install -c conda-forge ffn
+ conda install -c conda-forge bt
```
Alpha Vantage (π₯28 Β· β 4.2K) - A python wrapper for Alpha Vantage API for financial data. MIT
+Alpha Vantage (π₯29 Β· β 4.2K) - A python wrapper for Alpha Vantage API for financial data. MIT
-- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 43 Β· π 720 Β· π¦ 580 Β· π 290 - 2% open Β· β±οΈ 19.03.2024):
+- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 44 Β· π 740 Β· π 290 - 0% open Β· β±οΈ 18.07.2024):
```
git clone https://github.com/RomelTorres/alpha_vantage
```
-- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 47K / month Β· π¦ 33 Β· β±οΈ 21.12.2020):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 33K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
```
pip install alpha_vantage
```
-- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 6.8K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 7.3K Β· β±οΈ 09.08.2024):
```
conda install -c conda-forge alpha_vantage
```
TensorTrade (π₯27 Β· β 4.4K) - An open source reinforcement learning framework for training,.. Apache-2
+ffn (π₯29 Β· β 1.9K) - ffn - a financial function library for Python. MIT
-- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 980 Β· π¦ 56 Β· π 250 - 20% open Β· β±οΈ 27.05.2024):
+- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 35 Β· π 280 Β· π¦ 490 Β· π 130 - 18% open Β· β±οΈ 06.08.2024):
```
- git clone https://github.com/tensortrade-org/tensortrade
+ git clone https://github.com/pmorissette/ffn
```
-- [PyPi](https://pypi.org/project/tensortrade) (π₯ 790 / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
+- [PyPi](https://pypi.org/project/ffn) (π₯ 48K / month Β· π¦ 16 Β· β±οΈ 05.08.2024):
```
- pip install tensortrade
+ pip install ffn
```
-- [Conda](https://anaconda.org/conda-forge/tensortrade) (π₯ 3.5K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 11K Β· β±οΈ 06.08.2024):
```
- conda install -c conda-forge tensortrade
+ conda install -c conda-forge ffn
```
bt (π₯27 Β· β 2.1K) - bt - flexible backtesting for Python. MIT
+IB-insync (π₯27 Β· β 2.8K) - Python sync/async framework for Interactive Brokers API. BSD-2
-- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 32 Β· π 400 Β· π¦ 1.6K Β· π 340 - 23% open Β· β±οΈ 04.04.2024):
+- [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 36 Β· π 740 Β· π 590 - 3% open Β· β±οΈ 14.03.2024):
```
- git clone https://github.com/pmorissette/bt
+ git clone https://github.com/erdewit/ib_insync
```
-- [PyPi](https://pypi.org/project/bt) (π₯ 7.1K / month Β· π¦ 10 Β· β±οΈ 20.11.2023):
+- [PyPi](https://pypi.org/project/ib_insync) (π₯ 32K / month Β· π¦ 44 Β· β±οΈ 21.11.2022):
```
- pip install bt
+ pip install ib_insync
```
-- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 25K Β· β±οΈ 20.11.2023):
+- [Conda](https://anaconda.org/conda-forge/ib-insync) (π₯ 46K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge bt
+ conda install -c conda-forge ib-insync
```
IB-insync (π₯25 Β· β 2.7K) - Python sync/async framework for Interactive Brokers API. BSD-2
+TensorTrade (π₯24 Β· β 4.5K) - An open source reinforcement learning framework for training,.. Apache-2
-- [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 36 Β· π 700 Β· π 590 - 3% open Β· β±οΈ 14.03.2024):
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 980 Β· π¦ 60 Β· π 250 - 20% open Β· β±οΈ 09.06.2024):
```
- git clone https://github.com/erdewit/ib_insync
+ git clone https://github.com/tensortrade-org/tensortrade
```
-- [PyPi](https://pypi.org/project/ib_insync) (π₯ 33K / month Β· π¦ 40 Β· β±οΈ 21.11.2022):
+- [PyPi](https://pypi.org/project/tensortrade) (π₯ 700 / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
```
- pip install ib_insync
+ pip install tensortrade
```
-- [Conda](https://anaconda.org/conda-forge/ib-insync) (π₯ 41K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tensortrade) (π₯ 3.9K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge ib-insync
+ conda install -c conda-forge tensortrade
```
stockstats (π₯25 Β· β 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
+stockstats (π₯24 Β· β 1.3K Β· π€) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
-- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 10 Β· π 300 Β· π¦ 1.1K Β· π 120 - 12% open Β· β±οΈ 05.01.2024):
+- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 10 Β· π 300 Β· π¦ 1.1K Β· π 130 - 12% open Β· β±οΈ 05.01.2024):
```
git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 10K / month Β· π¦ 11 Β· β±οΈ 30.07.2023):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 8K / month Β· π¦ 11 Β· β±οΈ 30.07.2023):
```
pip install stockstats
```
finmarketpy (π₯23 Β· β 3.4K) - Python library for backtesting trading strategies & analyzing.. Apache-2
+finmarketpy (π₯22 Β· β 3.4K) - Python library for backtesting trading strategies & analyzing.. Apache-2
-- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 490 Β· π₯ 51 Β· π¦ 13 Β· π 28 - 85% open Β· β±οΈ 19.05.2024):
+- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 490 Β· π₯ 54 Β· π¦ 14 Β· π 28 - 85% open Β· β±οΈ 19.05.2024):
```
git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 360 / month Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 290 / month Β· β±οΈ 19.05.2024):
```
pip install finmarketpy
```
FinQuant (π₯22 Β· β 1.3K Β· π€) - A program for financial portfolio management, analysis and.. MIT
+FinQuant (π₯22 Β· β 1.4K Β· π€) - A program for financial portfolio management, analysis and.. MIT
-- [GitHub](https://github.com/fmilthaler/FinQuant) (π¨βπ» 11 Β· π 180 Β· π¦ 92 Β· π 48 - 33% open Β· β±οΈ 03.09.2023):
+- [GitHub](https://github.com/fmilthaler/FinQuant) (π¨βπ» 11 Β· π 180 Β· π¦ 93 Β· π 49 - 32% open Β· β±οΈ 03.09.2023):
```
git clone https://github.com/fmilthaler/FinQuant
```
-- [PyPi](https://pypi.org/project/FinQuant) (π₯ 590 / month Β· π¦ 1 Β· β±οΈ 04.09.2023):
+- [PyPi](https://pypi.org/project/FinQuant) (π₯ 380 / month Β· π¦ 1 Β· β±οΈ 04.09.2023):
```
pip install FinQuant
```
tf-quant-finance (π₯21 Β· β 4.3K Β· π€) - High-performance TensorFlow library for quantitative.. Apache-2
-
-- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 47 Β· π 540 Β· π 65 - 56% open Β· β±οΈ 15.08.2023):
-
- ```
- git clone https://github.com/google/tf-quant-finance
- ```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 530 / month Β· π¦ 2 Β· β±οΈ 19.08.2022):
- ```
- pip install tf-quant-finance
- ```
-Show 13 hidden projects...
+Show 14 hidden projects...
- zipline (π₯32 Β· β 17K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
-- pyfolio (π₯31 Β· β 5.5K Β· π) - Portfolio and risk analytics in Python. Apache-2
- arch (π₯31 Β· β 1.3K) - ARCH models in Python. βUnlicensed
-- backtrader (π₯29 Β· β 13K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
-- empyrical (π₯27 Β· β 1.2K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
-- Alphalens (π₯26 Β· β 3.1K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
-- Enigma Catalyst (π₯25 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
+- pyfolio (π₯30 Β· β 5.6K Β· π) - Portfolio and risk analytics in Python. Apache-2
+- backtrader (π₯29 Β· β 14K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
+- empyrical (π₯28 Β· β 1.3K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
+- Alphalens (π₯27 Β· β 3.3K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
+- Enigma Catalyst (π₯26 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
+- PyAlgoTrade (π₯25 Β· β 4.4K Β· π) - Python Algorithmic Trading Library. Apache-2
- FinTA (π₯24 Β· β 2.1K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
-- PyAlgoTrade (π₯23 Β· β 4.3K Β· π) - Python Algorithmic Trading Library. Apache-2
-- Backtesting.py (π₯22 Β· β 4.9K Β· π) - Backtest trading strategies in Python. βοΈAGPL-3.0
-- Crypto Signals (π₯22 Β· β 4.8K Β· π) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
-- surpriver (π₯12 Β· β 1.7K Β· π) - Find big moving stocks before they move using machine.. βοΈGPL-3.0
-- pyrtfolio (π₯8 Β· β 140 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
+- Backtesting.py (π₯23 Β· β 5.3K Β· π) - Backtest trading strategies in Python. βοΈAGPL-3.0
+- Crypto Signals (π₯23 Β· β 4.8K Β· π) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
+- tf-quant-finance (π₯21 Β· β 4.4K Β· π) - High-performance TensorFlow library for quantitative.. Apache-2 βοΈGPL-3.0
+- pyrtfolio (π₯8 Β· β 150 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
@@ -3727,317 +3673,302 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
_Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._
-sktime (π₯39 Β· β 7.5K) - A unified framework for machine learning with time series. BSD-3
+sktime (π₯39 Β· β 7.7K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 360 Β· π 1.3K Β· π₯ 91 Β· π¦ 2.8K Β· π 2.3K - 35% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 390 Β· π 1.3K Β· π₯ 96 Β· π¦ 3.2K Β· π 2.5K - 37% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 800K / month Β· π¦ 120 Β· β±οΈ 04.06.2024):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 700K / month Β· π¦ 120 Β· β±οΈ 27.08.2024):
```
pip install sktime
```
-- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 960K Β· β±οΈ 05.06.2024):
+- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 1M Β· β±οΈ 27.08.2024):
```
conda install -c conda-forge sktime-all-extras
```
Prophet (π₯34 Β· β 18K) - Tool for producing high quality forecasts for time series data that has.. MIT
+StatsForecast (π₯34 Β· β 3.8K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 180 Β· π 4.5K Β· π₯ 2.5K Β· π¦ 21 Β· π 2.1K - 18% open Β· β±οΈ 18.05.2024):
+- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 43 Β· π 270 Β· π¦ 1.1K Β· π 330 - 29% open Β· β±οΈ 03.09.2024):
```
- git clone https://github.com/facebook/prophet
+ git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/fbprophet) (π₯ 830K / month Β· π¦ 89 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/statsforecast) (π₯ 770K / month Β· π¦ 57 Β· β±οΈ 17.07.2024):
```
- pip install fbprophet
+ pip install statsforecast
```
-- [Conda](https://anaconda.org/conda-forge/prophet) (π₯ 1.2M Β· β±οΈ 20.10.2023):
+- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 89K Β· β±οΈ 18.07.2024):
```
- conda install -c conda-forge prophet
+ conda install -c conda-forge statsforecast
```
StatsForecast (π₯34 Β· β 3.6K) - Lightning fast forecasting with statistical and econometric.. Apache-2
+STUMPY (π₯34 Β· β 3.6K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 41 Β· π 250 Β· π¦ 920 Β· π 320 - 30% open Β· β±οΈ 30.05.2024):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 41 Β· π 320 Β· π¦ 860 Β· π 510 - 12% open Β· β±οΈ 16.08.2024):
```
- git clone https://github.com/Nixtla/statsforecast
+ git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/statsforecast) (π₯ 590K / month Β· π¦ 55 Β· β±οΈ 24.05.2024):
+- [PyPi](https://pypi.org/project/stumpy) (π₯ 330K / month Β· π¦ 30 Β· β±οΈ 09.07.2024):
```
- pip install statsforecast
+ pip install stumpy
```
-- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 71K Β· β±οΈ 24.05.2024):
+- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 1M Β· β±οΈ 09.07.2024):
```
- conda install -c conda-forge statsforecast
+ conda install -c conda-forge stumpy
```
Darts (π₯33 Β· β 7.4K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
+Prophet (π₯33 Β· β 18K) - Tool for producing high quality forecasts for time series data that has.. MIT
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 120 Β· π 800 Β· π¦ 630 Β· π 1.4K - 18% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 180 Β· π 4.5K Β· π₯ 2.7K Β· π¦ 21 Β· π 2.1K - 19% open Β· β±οΈ 18.05.2024):
```
- git clone https://github.com/unit8co/darts
- ```
-- [PyPi](https://pypi.org/project/u8darts) (π₯ 24K / month Β· π¦ 6 Β· β±οΈ 17.04.2024):
- ```
- pip install u8darts
+ git clone https://github.com/facebook/prophet
```
-- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 46K Β· β±οΈ 18.04.2024):
+- [PyPi](https://pypi.org/project/fbprophet) (π₯ 310K / month Β· π¦ 91 Β· β±οΈ 05.09.2020):
```
- conda install -c conda-forge u8darts-all
+ pip install fbprophet
```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 590 Β· β±οΈ 17.04.2024):
+- [Conda](https://anaconda.org/conda-forge/prophet) (π₯ 1.2M Β· β±οΈ 20.10.2023):
```
- docker pull unit8/darts
+ conda install -c conda-forge prophet
```
tsfresh (π₯32 Β· β 8.2K) - Automatic extraction of relevant features from time series:. MIT
+tsfresh (π₯32 Β· β 8.3K) - Automatic extraction of relevant features from time series:. MIT
-- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 94 Β· π 1.2K Β· π¦ 21 Β· π 540 - 12% open Β· β±οΈ 26.05.2024):
+- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 96 Β· π 1.2K Β· π¦ 21 Β· π 540 - 12% open Β· β±οΈ 03.08.2024):
```
git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/tsfresh) (π₯ 250K / month Β· π¦ 75 Β· β±οΈ 28.01.2024):
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 280K / month Β· π¦ 92 Β· β±οΈ 03.08.2024):
```
pip install tsfresh
```
-- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.4M Β· β±οΈ 28.01.2024):
+- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.4M Β· β±οΈ 04.08.2024):
```
conda install -c conda-forge tsfresh
```
pmdarima (π₯32 Β· β 1.5K) - A statistical library designed to fill the void in Pythons time series.. MIT
+pmdarima (π₯32 Β· β 1.6K Β· π€) - A statistical library designed to fill the void in Pythons time.. MIT
-- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 23 Β· π 230 Β· π¦ 8.3K Β· π 330 - 17% open Β· β±οΈ 23.02.2024):
+- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 23 Β· π 230 Β· π¦ 9.1K Β· π 330 - 18% open Β· β±οΈ 23.02.2024):
```
git clone https://github.com/alkaline-ml/pmdarima
```
-- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.4M / month Β· π¦ 140 Β· β±οΈ 23.10.2023):
+- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.2M / month Β· π¦ 150 Β· β±οΈ 23.10.2023):
```
pip install pmdarima
```
-- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1.1M Β· β±οΈ 19.04.2024):
+- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1.2M Β· β±οΈ 14.07.2024):
```
conda install -c conda-forge pmdarima
```
STUMPY (π₯31 Β· β 3K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
+NeuralForecast (π₯31 Β· β 2.9K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 38 Β· π 280 Β· π¦ 770 Β· π 480 - 11% open Β· β±οΈ 01.06.2024):
+- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 48 Β· π 330 Β· π¦ 200 Β· π 530 - 20% open Β· β±οΈ 02.09.2024):
```
- git clone https://github.com/TDAmeritrade/stumpy
+ git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/stumpy) (π₯ 240K / month Β· π¦ 23 Β· β±οΈ 21.08.2023):
+- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 39K / month Β· π¦ 16 Β· β±οΈ 30.07.2024):
```
- pip install stumpy
+ pip install neuralforecast
```
-- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 990K Β· β±οΈ 21.08.2023):
+- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 21K Β· β±οΈ 31.07.2024):
```
- conda install -c conda-forge stumpy
+ conda install -c conda-forge neuralforecast
```
GluonTS (π₯30 Β· β 4.4K) - Probabilistic time series modeling in Python. Apache-2
+Darts (π₯30 Β· β 7.9K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 110 Β· π 740 Β· π 940 - 33% open Β· β±οΈ 31.05.2024):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 120 Β· π 850 Β· π 1.5K - 16% open Β· β±οΈ 02.09.2024):
```
- git clone https://github.com/awslabs/gluon-ts
- ```
-- [PyPi](https://pypi.org/project/gluonts) (π₯ 240K / month Β· π¦ 27 Β· β±οΈ 03.06.2024):
- ```
- pip install gluonts
+ git clone https://github.com/unit8co/darts
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 770 Β· β±οΈ 22.12.2023):
+- [PyPi](https://pypi.org/project/u8darts) (π₯ 53K / month Β· π¦ 10 Β· β±οΈ 19.06.2024):
```
- conda install -c anaconda gluonts
+ pip install u8darts
```
-NeuralProphet (π₯30 Β· β 3.7K) - NeuralProphet: A simple forecasting package. MIT
-
-- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 53 Β· π 460 Β· π¦ 450 Β· π 520 - 8% open Β· β±οΈ 15.03.2024):
-
+- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 56K Β· β±οΈ 21.06.2024):
```
- git clone https://github.com/ourownstory/neural_prophet
+ conda install -c conda-forge u8darts-all
```
-- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 180K / month Β· π¦ 5 Β· β±οΈ 23.02.2024):
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 630 Β· β±οΈ 17.04.2024):
```
- pip install neuralprophet
+ docker pull unit8/darts
```
tslearn (π₯30 Β· β 2.8K) - The machine learning toolkit for time series analysis in Python. BSD-2
+pytorch-forecasting (π₯30 Β· β 3.8K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 320 Β· π¦ 1.3K Β· π 320 - 39% open Β· β±οΈ 20.03.2024):
+- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 50 Β· π 610 Β· π 790 - 63% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/tslearn-team/tslearn
+ git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/tslearn) (π₯ 390K / month Β· π¦ 71 Β· β±οΈ 12.12.2023):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 62K / month Β· π¦ 20 Β· β±οΈ 10.04.2023):
```
- pip install tslearn
+ pip install pytorch-forecasting
```
-- [Conda](https://anaconda.org/conda-forge/tslearn) (π₯ 1.3M Β· β±οΈ 04.02.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 63K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge tslearn
+ conda install -c conda-forge pytorch-forecasting
```
NeuralForecast (π₯30 Β· β 2.6K) - Scalable and user friendly neural forecasting algorithms. Apache-2
+tslearn (π₯30 Β· β 2.9K) - The machine learning toolkit for time series analysis in Python. BSD-2
-- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 45 Β· π 300 Β· π¦ 160 Β· π 470 - 20% open Β· β±οΈ 30.05.2024):
+- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 340 Β· π¦ 1.4K Β· π 330 - 40% open Β· β±οΈ 01.07.2024):
```
- git clone https://github.com/Nixtla/neuralforecast
+ git clone https://github.com/tslearn-team/tslearn
```
-- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 43K / month Β· π¦ 16 Β· β±οΈ 07.05.2024):
+- [PyPi](https://pypi.org/project/tslearn) (π₯ 380K / month Β· π¦ 79 Β· β±οΈ 12.12.2023):
```
- pip install neuralforecast
+ pip install tslearn
```
-- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 16K Β· β±οΈ 08.05.2024):
+- [Conda](https://anaconda.org/conda-forge/tslearn) (π₯ 1.4M Β· β±οΈ 26.07.2024):
```
- conda install -c conda-forge neuralforecast
+ conda install -c conda-forge tslearn
```
skforecast (π₯28 Β· β 980) - Time series forecasting with scikit-learn models. BSD-3
+skforecast (π₯30 Β· β 1.1K) - Time series forecasting with machine learning models. BSD-3
-- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 13 Β· π 110 Β· π¦ 270 Β· π 140 - 17% open Β· β±οΈ 30.05.2024):
+- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 14 Β· π 120 Β· π¦ 320 Β· π 170 - 10% open Β· β±οΈ 13.08.2024):
```
git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
-- [PyPi](https://pypi.org/project/skforecast) (π₯ 48K / month Β· π¦ 12 Β· β±οΈ 20.05.2024):
+- [PyPi](https://pypi.org/project/skforecast) (π₯ 79K / month Β· π¦ 15 Β· β±οΈ 01.08.2024):
```
pip install skforecast
```
pytorch-forecasting (π₯27 Β· β 3.7K) - Time series forecasting with PyTorch. MIT
+GluonTS (π₯29 Β· β 4.5K) - Probabilistic time series modeling in Python. Apache-2
-- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 45 Β· π 580 Β· π 760 - 62% open Β· β±οΈ 15.03.2024):
+- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 120 Β· π 740 Β· π 960 - 33% open Β· β±οΈ 25.07.2024):
```
- git clone https://github.com/jdb78/pytorch-forecasting
+ git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 53K / month Β· π¦ 16 Β· β±οΈ 26.07.2020):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 250K / month Β· π¦ 31 Β· β±οΈ 03.06.2024):
```
- pip install pytorch-forecasting
+ pip install gluonts
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 58K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 900 Β· β±οΈ 22.12.2023):
```
- conda install -c conda-forge pytorch-forecasting
+ conda install -c anaconda gluonts
```
uber/orbit (π₯26 Β· β 1.8K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
+NeuralProphet (π₯29 Β· β 3.8K) - NeuralProphet: A simple forecasting package. MIT
-- [GitHub](https://github.com/uber/orbit) (π¨βπ» 20 Β· π 140 Β· π¦ 57 Β· π 400 - 12% open Β· β±οΈ 31.03.2024):
+- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 56 Β· π 470 Β· π 550 - 10% open Β· β±οΈ 04.09.2024):
```
- git clone https://github.com/uber/orbit
- ```
-- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 21K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
- ```
- pip install orbit-ml
+ git clone https://github.com/ourownstory/neural_prophet
```
-- [Conda](https://anaconda.org/conda-forge/orbit-ml) (π₯ 7.8K Β· β±οΈ 01.04.2024):
+- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 160K / month Β· π¦ 8 Β· β±οΈ 26.06.2024):
```
- conda install -c conda-forge orbit-ml
+ pip install neuralprophet
```
pyts (π₯26 Β· β 1.7K Β· π€) - A Python package for time series classification. BSD-3
+uber/orbit (π₯25 Β· β 1.9K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
-- [GitHub](https://github.com/johannfaouzi/pyts) (π¨βπ» 14 Β· π 160 Β· π¦ 610 Β· π 78 - 55% open Β· β±οΈ 20.06.2023):
+- [GitHub](https://github.com/uber/orbit) (π¨βπ» 20 Β· π 140 Β· π¦ 61 Β· π 400 - 12% open Β· β±οΈ 10.07.2024):
```
- git clone https://github.com/johannfaouzi/pyts
+ git clone https://github.com/uber/orbit
```
-- [PyPi](https://pypi.org/project/pyts) (π₯ 170K / month Β· π¦ 19 Β· β±οΈ 31.10.2021):
+- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 19K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
```
- pip install pyts
+ pip install orbit-ml
```
-- [Conda](https://anaconda.org/conda-forge/pyts) (π₯ 24K Β· β±οΈ 18.06.2023):
+- [Conda](https://anaconda.org/conda-forge/orbit-ml) (π₯ 13K Β· β±οΈ 01.04.2024):
```
- conda install -c conda-forge pyts
+ conda install -c conda-forge orbit-ml
```
TSFEL (π₯24 Β· β 870) - An intuitive library to extract features from time series. BSD-3
+TSFEL (π₯24 Β· β 900) - An intuitive library to extract features from time series. BSD-3
-- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 20 Β· π 130 Β· π¦ 130 Β· π 69 - 4% open Β· β±οΈ 14.05.2024):
+- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 20 Β· π 140 Β· π¦ 140 Β· π 72 - 8% open Β· β±οΈ 27.08.2024):
```
git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/tsfel) (π₯ 23K / month Β· π¦ 3 Β· β±οΈ 27.03.2024):
+- [PyPi](https://pypi.org/project/tsfel) (π₯ 25K / month Β· π¦ 7 Β· β±οΈ 27.08.2024):
```
pip install tsfel
```
greykite (π₯22 Β· β 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2
+pydlm (π₯22 Β· β 480) - A python library for Bayesian time series modeling. BSD-3
-- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 10 Β· π 100 Β· π₯ 26 Β· π¦ 30 Β· π 110 - 26% open Β· β±οΈ 16.01.2024):
+- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 7 Β· π 98 Β· π¦ 36 Β· π 56 - 73% open Β· β±οΈ 30.08.2024):
```
- git clone https://github.com/linkedin/greykite
+ git clone https://github.com/wwrechard/pydlm
```
-- [PyPi](https://pypi.org/project/greykite) (π₯ 11K / month Β· β±οΈ 12.01.2024):
+- [PyPi](https://pypi.org/project/pydlm) (π₯ 23K / month Β· π¦ 2 Β· β±οΈ 13.08.2024):
```
- pip install greykite
+ pip install pydlm
```
Auto TS (π₯20 Β· β 690) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
+tsflex (π₯21 Β· β 400) - Flexible time series feature extraction & processing. MIT
-- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 13 Β· π 110 Β· π 88 - 1% open Β· β±οΈ 05.05.2024):
+- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 25 Β· π¦ 15 Β· π 52 - 57% open Β· β±οΈ 24.08.2024):
```
- git clone https://github.com/AutoViML/Auto_TS
+ git clone https://github.com/predict-idlab/tsflex
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 12K / month Β· β±οΈ 05.05.2024):
+- [PyPi](https://pypi.org/project/tsflex) (π₯ 840 / month Β· π¦ 1 Β· β±οΈ 04.04.2024):
```
- pip install auto-ts
+ pip install tsflex
+ ```
+- [Conda](https://anaconda.org/conda-forge/tsflex) (π₯ 25K Β· β±οΈ 08.04.2024):
+ ```
+ conda install -c conda-forge tsflex
```
tsflex (π₯20 Β· β 380) - Flexible time series feature extraction & processing. MIT
+greykite (π₯20 Β· β 1.8K Β· π€) - A flexible, intuitive and fast forecasting library. BSD-2
-- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 25 Β· π¦ 13 Β· π 52 - 57% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 10 Β· π 100 Β· π₯ 32 Β· π¦ 33 Β· π 110 - 27% open Β· β±οΈ 16.01.2024):
```
- git clone https://github.com/predict-idlab/tsflex
- ```
-- [PyPi](https://pypi.org/project/tsflex) (π₯ 320 / month Β· π¦ 1 Β· β±οΈ 04.04.2024):
- ```
- pip install tsflex
+ git clone https://github.com/linkedin/greykite
```
-- [Conda](https://anaconda.org/conda-forge/tsflex) (π₯ 22K Β· β±οΈ 08.04.2024):
+- [PyPi](https://pypi.org/project/greykite) (π₯ 6.6K / month Β· β±οΈ 12.01.2024):
```
- conda install -c conda-forge tsflex
+ pip install greykite
```
pydlm (π₯19 Β· β 470 Β· π€) - A python library for Bayesian time series modeling. BSD-3
+Auto TS (π₯20 Β· β 720) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
-- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 6 Β· π 97 Β· π¦ 33 Β· π 49 - 75% open Β· β±οΈ 04.09.2023):
+- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 13 Β· π 110 Β· π 88 - 1% open Β· β±οΈ 05.05.2024):
```
- git clone https://github.com/wwrechard/pydlm
+ git clone https://github.com/AutoViML/Auto_TS
```
-- [PyPi](https://pypi.org/project/pydlm) (π₯ 22K / month Β· π¦ 2 Β· β±οΈ 19.12.2018):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 8.7K / month Β· β±οΈ 05.05.2024):
```
- pip install pydlm
+ pip install auto-ts
```
Show 10 hidden projects...
+Show 11 hidden projects...
+- pyts (π₯26 Β· β 1.8K Β· π) - A Python package for time series classification. BSD-3
- Streamz (π₯26 Β· β 1.2K Β· π) - Real-time stream processing for python. BSD-3
- PyFlux (π₯25 Β· β 2.1K Β· π) - Open source time series library for Python. BSD-3
- luminol (π₯22 Β· β 1.2K Β· π) - Anomaly Detection and Correlation library. Apache-2
-- tick (π₯22 Β· β 470 Β· π) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
-- seglearn (π₯21 Β· β 570 Β· π) - Python module for machine learning time series:. BSD-3
-- ADTK (π₯20 Β· β 1K Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0
-- matrixprofile-ts (π₯19 Β· β 730 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
-- atspy (π₯14 Β· β 510 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
-- tsaug (π₯14 Β· β 340 Β· π) - A Python package for time series augmentation. Apache-2
+- tick (π₯22 Β· β 480 Β· π) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
+- ADTK (π₯21 Β· β 1.1K Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
+- matrixprofile-ts (π₯20 Β· β 730 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
+- seglearn (π₯20 Β· β 570 Β· π) - Python module for machine learning time series:. BSD-3
+- atspy (π₯15 Β· β 510 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
+- tsaug (π₯14 Β· β 350 Β· π) - A Python package for time series augmentation. Apache-2
- tslumen (π₯8 Β· β 67 Β· π) - A library for Time Series EDA (exploratory data analysis). Apache-2
@@ -4048,134 +3979,134 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
_Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._
-MNE (π₯39 Β· β 2.6K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
+MNE (π₯39 Β· β 2.7K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 370 Β· π 1.3K Β· π¦ 3.9K Β· π 4.8K - 10% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 380 Β· π 1.3K Β· π¦ 4.3K Β· π 4.9K - 10% open Β· β±οΈ 04.09.2024):
```
git clone https://github.com/mne-tools/mne-python
```
-- [PyPi](https://pypi.org/project/mne) (π₯ 120K / month Β· π¦ 350 Β· β±οΈ 19.04.2024):
+- [PyPi](https://pypi.org/project/mne) (π₯ 150K / month Β· π¦ 380 Β· β±οΈ 19.08.2024):
```
pip install mne
```
-- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 370K Β· β±οΈ 26.05.2024):
+- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 420K Β· β±οΈ 19.08.2024):
```
conda install -c conda-forge mne
```
Nilearn (π₯37 Β· β 1.1K) - Machine learning for NeuroImaging in Python. BSD-3
+MONAI (π₯36 Β· β 5.7K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 240 Β· π 550 Β· π₯ 170 Β· π¦ 3.2K Β· π 2.1K - 14% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 200 Β· π 1K Β· π¦ 2.7K Β· π 3.1K - 11% open Β· β±οΈ 04.09.2024):
```
- git clone https://github.com/nilearn/nilearn
+ git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 60K / month Β· π¦ 280 Β· β±οΈ 09.04.2024):
+- [PyPi](https://pypi.org/project/monai) (π₯ 170K / month Β· π¦ 110 Β· β±οΈ 02.09.2024):
```
- pip install nilearn
+ pip install monai
```
-- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 270K Β· β±οΈ 09.04.2024):
+- [Conda](https://anaconda.org/conda-forge/monai) (π₯ 29K Β· β±οΈ 26.06.2024):
```
- conda install -c conda-forge nilearn
+ conda install -c conda-forge monai
```
MONAI (π₯36 Β· β 5.4K) - AI Toolkit for Healthcare Imaging. Apache-2
+Nilearn (π₯36 Β· β 1.2K) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 190 Β· π 980 Β· π¦ 2.3K Β· π 3K - 11% open Β· β±οΈ 31.05.2024):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 240 Β· π 580 Β· π₯ 210 Β· π¦ 3.4K Β· π 2.1K - 13% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/Project-MONAI/MONAI
+ git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/monai) (π₯ 150K / month Β· π¦ 97 Β· β±οΈ 21.05.2024):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 52K / month Β· π¦ 290 Β· β±οΈ 09.04.2024):
```
- pip install monai
+ pip install nilearn
```
-- [Conda](https://anaconda.org/conda-forge/monai) (π₯ 24K Β· β±οΈ 21.05.2024):
+- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 290K Β· β±οΈ 09.04.2024):
```
- conda install -c conda-forge monai
+ conda install -c conda-forge nilearn
```
NiBabel (π₯36 Β· β 630) - Python package to access a cacophony of neuro-imaging file formats. MIT
+NiBabel (π₯34 Β· β 640) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 100 Β· π 260 Β· π¦ 19K Β· π 530 - 24% open Β· β±οΈ 29.05.2024):
+- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 100 Β· π 260 Β· π¦ 21K Β· π 540 - 24% open Β· β±οΈ 26.07.2024):
```
git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nibabel) (π₯ 500K / month Β· π¦ 1K Β· β±οΈ 27.02.2024):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 610K / month Β· π¦ 1.1K Β· β±οΈ 27.02.2024):
```
pip install nibabel
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 710K Β· β±οΈ 27.02.2024):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 760K Β· β±οΈ 27.02.2024):
```
conda install -c conda-forge nibabel
```
NIPYPE (π₯35 Β· β 740) - Workflows and interfaces for neuroimaging packages. Apache-2
+NIPYPE (π₯33 Β· β 740) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 510 Β· π¦ 4.4K Β· π 1.4K - 29% open Β· β±οΈ 30.05.2024):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 510 Β· π¦ 4.9K Β· π 1.4K - 29% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/nipy/nipype
```
-- [PyPi](https://pypi.org/project/nipype) (π₯ 170K / month Β· π¦ 140 Β· β±οΈ 06.04.2023):
+- [PyPi](https://pypi.org/project/nipype) (π₯ 170K / month Β· π¦ 150 Β· β±οΈ 06.04.2023):
```
pip install nipype
```
-- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 620K Β· β±οΈ 22.09.2023):
+- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 670K Β· β±οΈ 22.09.2023):
```
conda install -c conda-forge nipype
```
Lifelines (π₯32 Β· β 2.3K) - Survival analysis in Python. MIT
-- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 580 Β· π¦ 2.5K Β· π 950 - 26% open Β· β±οΈ 07.03.2024):
+- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 550 Β· π¦ 2.9K Β· π 970 - 26% open Β· β±οΈ 26.06.2024):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
-- [PyPi](https://pypi.org/project/lifelines) (π₯ 550K / month Β· π¦ 130 Β· β±οΈ 03.01.2024):
+- [PyPi](https://pypi.org/project/lifelines) (π₯ 740K / month Β· π¦ 140 Β· β±οΈ 26.06.2024):
```
pip install lifelines
```
-- [Conda](https://anaconda.org/conda-forge/lifelines) (π₯ 340K Β· β±οΈ 13.09.2023):
+- [Conda](https://anaconda.org/conda-forge/lifelines) (π₯ 360K Β· β±οΈ 27.06.2024):
```
conda install -c conda-forge lifelines
```
Hail (π₯32 Β· β 950) - Cloud-native genomic dataframes and batch computing. MIT
+Hail (π₯32 Β· β 960) - Cloud-native genomic dataframes and batch computing. MIT
-- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 92 Β· π 240 Β· π¦ 130 Β· π 2.4K - 9% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 95 Β· π 240 Β· π¦ 140 Β· π 2.4K - 9% open Β· β±οΈ 29.08.2024):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (π₯ 19K / month Β· π¦ 30 Β· β±οΈ 05.06.2024):
+- [PyPi](https://pypi.org/project/hail) (π₯ 200K / month Β· π¦ 34 Β· β±οΈ 08.08.2024):
```
pip install hail
```
DeepVariant (π₯25 Β· β 3.1K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
+DeepVariant (π₯24 Β· β 3.2K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
-- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 30 Β· π 690 Β· π₯ 4.7K Β· π 760 - 0% open Β· β±οΈ 18.03.2024):
+- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 30 Β· π 710 Β· π₯ 4.8K Β· π 810 - 0% open Β· β±οΈ 18.03.2024):
```
git clone https://github.com/google/deepvariant
```
-- [Conda](https://anaconda.org/bioconda/deepvariant) (π₯ 65K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/bioconda/deepvariant) (π₯ 68K Β· β±οΈ 16.06.2023):
```
conda install -c bioconda deepvariant
```
Brainiak (π₯18 Β· β 320 Β· π€) - Brain Imaging Analysis Kit. Apache-2
+Brainiak (π₯18 Β· β 330) - Brain Imaging Analysis Kit. Apache-2
-- [GitHub](https://github.com/brainiak/brainiak) (π¨βπ» 35 Β· π 130 Β· π 210 - 38% open Β· β±οΈ 27.11.2023):
+- [GitHub](https://github.com/brainiak/brainiak) (π¨βπ» 35 Β· π 130 Β· π 220 - 39% open Β· β±οΈ 08.07.2024):
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (π₯ 100 / month Β· β±οΈ 15.10.2020):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 200 / month Β· β±οΈ 15.10.2020):
```
pip install brainiak
```
@@ -4186,14 +4117,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 10 hidden projects...
-- DIPY (π₯33 Β· β 680) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. βUnlicensed
-- NiftyNet (π₯24 Β· β 1.4K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2 βοΈGPL-3.0
-- NIPY (π₯22 Β· β 370) - Neuroimaging in Python FMRI analysis package. βUnlicensed
-- Glow (π₯22 Β· β 260) - An open-source toolkit for large-scale genomic analysis. Apache-2
+- DIPY (π₯32 Β· β 700) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. βUnlicensed
+- NiftyNet (π₯25 Β· β 1.4K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2 βοΈGPL-3.0
+- NIPY (π₯25 Β· β 380) - Neuroimaging in Python FMRI analysis package. βUnlicensed
+- Glow (π₯21 Β· β 260) - An open-source toolkit for large-scale genomic analysis. Apache-2
- DLTK (π₯20 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2 Apache-2 Apache-2 Apache-2 MIT
- MedicalNet (π₯12 Β· β 1.9K Β· π) - Many studies have shown that the performance on deep learning is.. MIT
pytorch_tabular (π₯23 Β· β 1.2K) - A standard framework for modelling Deep Learning Models.. MIT
+miceforest (π₯26 Β· β 330 Β· π) - Multiple Imputation with LightGBM in Python. MIT
-- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 21 Β· π 130 Β· π₯ 27 Β· π 140 - 7% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/AnotherSamWilson/miceforest) (π¨βπ» 8 Β· π 30 Β· π¦ 150 Β· π 84 - 8% open Β· β±οΈ 02.08.2024):
```
- git clone https://github.com/manujosephv/pytorch_tabular
+ git clone https://github.com/AnotherSamWilson/miceforest
```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 5.4K / month Β· π¦ 2 Β· β±οΈ 15.01.2024):
+- [PyPi](https://pypi.org/project/miceforest) (π₯ 63K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
```
- pip install pytorch_tabular
+ pip install miceforest
+ ```
+- [Conda](https://anaconda.org/conda-forge/miceforest) (π₯ 15K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge miceforest
```
miceforest (π₯22 Β· β 320) - Multiple Imputation with LightGBM in Python. MIT
+pytorch_tabular (π₯22 Β· β 1.3K) - A standard framework for modelling Deep Learning Models.. MIT
-- [GitHub](https://github.com/AnotherSamWilson/miceforest) (π¨βπ» 8 Β· π 27 Β· π¦ 140 Β· π 82 - 26% open Β· β±οΈ 27.04.2024):
+- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 22 Β· π 130 Β· π₯ 35 Β· π 160 - 13% open Β· β±οΈ 07.06.2024):
```
- git clone https://github.com/AnotherSamWilson/miceforest
+ git clone https://github.com/manujosephv/pytorch_tabular
```
-- [PyPi](https://pypi.org/project/miceforest) (π₯ 46K / month Β· π¦ 5 Β· β±οΈ 16.11.2023):
+- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 3K / month Β· π¦ 3 Β· β±οΈ 15.01.2024):
```
- pip install miceforest
+ pip install pytorch_tabular
```
-- [Conda](https://anaconda.org/conda-forge/miceforest) (π₯ 13K Β· β±οΈ 16.06.2023):
+upgini (π₯21 Β· β 310) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
+
+- [GitHub](https://github.com/upgini/upgini) (π¨βπ» 13 Β· π 25 Β· π¦ 7 Β· β±οΈ 05.09.2024):
+
```
- conda install -c conda-forge miceforest
+ git clone https://github.com/upgini/upgini
+ ```
+- [PyPi](https://pypi.org/project/upgini) (π₯ 9.9K / month Β· β±οΈ 05.09.2024):
+ ```
+ pip install upgini
```
carefree-learn (π₯17 Β· β 400) - Deep Learning PyTorch. MIT
-- [GitHub](https://github.com/carefree0910/carefree-learn) (π¨βπ» 1 Β· π 38 Β· π¦ 5 Β· π 82 - 2% open Β· β±οΈ 18.03.2024):
+- [GitHub](https://github.com/carefree0910/carefree-learn) (π¨βπ» 1 Β· π 38 Β· π¦ 7 Β· π 82 - 2% open Β· β±οΈ 18.03.2024):
```
git clone https://github.com/carefree0910/carefree-learn
```
-- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 400 / month Β· β±οΈ 09.01.2024):
+- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 850 / month Β· β±οΈ 09.01.2024):
```
pip install carefree-learn
```
Show 2 hidden projects...
+Show 1 hidden projects...
-- upgini (π₯21 Β· β 300) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
- deltapy (π₯12 Β· β 530 Β· π) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT
@@ -4258,135 +4200,135 @@ _Libraries for processing tabular and structured data._
_Libraries for optical character recognition (OCR) and text extraction from images or videos._
-PaddleOCR (π₯40 Β· β 39K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
+PaddleOCR (π₯41 Β· β 42K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 200 Β· π 7.3K Β· π¦ 2.7K Β· π 9.2K - 5% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 250 Β· π 7.6K Β· π₯ 230K Β· π¦ 3.2K Β· π 9.3K - 1% open Β· β±οΈ 02.09.2024):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (π₯ 190K / month Β· π¦ 65 Β· β±οΈ 29.03.2024):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 470K / month Β· π¦ 92 Β· β±οΈ 17.07.2024):
```
pip install paddleocr
```
EasyOCR (π₯35 Β· β 22K Β· π€) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2
+OCRmyPDF (π₯35 Β· β 14K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 3K Β· π₯ 11M Β· π¦ 6.7K Β· π 980 - 40% open Β· β±οΈ 04.09.2023):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 100 Β· π 990 Β· π₯ 4.9K Β· π¦ 970 Β· π 1.2K - 9% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/JaidedAI/EasyOCR
+ git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 270K / month Β· π¦ 180 Β· β±οΈ 04.09.2023):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 120K / month Β· π¦ 32 Β· β±οΈ 31.08.2024):
```
- pip install easyocr
+ pip install ocrmypdf
+ ```
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 76K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge ocrmypdf
```
OCRmyPDF (π₯35 Β· β 12K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
+EasyOCR (π₯34 Β· β 24K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 96 Β· π 910 Β· π₯ 3.6K Β· π¦ 840 Β· π 1.1K - 9% open Β· β±οΈ 01.06.2024):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 3.1K Β· π₯ 14M Β· π¦ 8K Β· π 1K - 41% open Β· β±οΈ 25.07.2024):
```
- git clone https://github.com/ocrmypdf/OCRmyPDF
- ```
-- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 93K / month Β· π¦ 25 Β· β±οΈ 21.05.2024):
- ```
- pip install ocrmypdf
+ git clone https://github.com/JaidedAI/EasyOCR
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 67K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 450K / month Β· π¦ 200 Β· β±οΈ 04.09.2023):
```
- conda install -c conda-forge ocrmypdf
+ pip install easyocr
```
tesserocr (π₯32 Β· β 1.9K) - A Python wrapper for the tesseract-ocr API. MIT
+Tesseract (π₯32 Β· β 5.8K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
-- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 30 Β· π 250 Β· π₯ 250 Β· π¦ 990 Β· π 280 - 18% open Β· β±οΈ 27.04.2024):
+- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 49 Β· π 710 Β· π 370 - 4% open Β· β±οΈ 08.05.2024):
```
- git clone https://github.com/sirfz/tesserocr
+ git clone https://github.com/madmaze/pytesseract
```
-- [PyPi](https://pypi.org/project/tesserocr) (π₯ 66K / month Β· π¦ 34 Β· β±οΈ 27.04.2024):
+- [PyPi](https://pypi.org/project/pytesseract) (π₯ 3.1M / month Β· π¦ 940 Β· β±οΈ 16.08.2024):
```
- pip install tesserocr
+ pip install pytesseract
```
-- [Conda](https://anaconda.org/conda-forge/tesserocr) (π₯ 140K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 620K Β· β±οΈ 15.10.2023):
```
- conda install -c conda-forge tesserocr
+ conda install -c conda-forge pytesseract
```
Tesseract (π₯30 Β· β 5.6K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
+tesserocr (π₯30 Β· β 2K) - A Python wrapper for the tesseract-ocr API. MIT
-- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 49 Β· π 700 Β· π 360 - 3% open Β· β±οΈ 08.05.2024):
+- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 30 Β· π 250 Β· π₯ 420 Β· π¦ 1.1K Β· π 280 - 17% open Β· β±οΈ 26.08.2024):
```
- git clone https://github.com/madmaze/pytesseract
+ git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/pytesseract) (π₯ 2.1M / month Β· π¦ 850 Β· β±οΈ 16.08.2022):
+- [PyPi](https://pypi.org/project/tesserocr) (π₯ 82K / month Β· π¦ 36 Β· β±οΈ 26.08.2024):
```
- pip install pytesseract
+ pip install tesserocr
```
-- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 610K Β· β±οΈ 15.10.2023):
+- [Conda](https://anaconda.org/conda-forge/tesserocr) (π₯ 170K Β· β±οΈ 30.07.2024):
```
- conda install -c conda-forge pytesseract
+ conda install -c conda-forge tesserocr
```
MMOCR (π₯26 Β· β 4.1K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
+MMOCR (π₯28 Β· β 4.3K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
-- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 90 Β· π 720 Β· π¦ 130 Β· π 910 - 18% open Β· β±οΈ 23.04.2024):
+- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 90 Β· π 740 Β· π¦ 160 Β· π 930 - 20% open Β· β±οΈ 23.04.2024):
```
git clone https://github.com/open-mmlab/mmocr
```
-- [PyPi](https://pypi.org/project/mmocr) (π₯ 6K / month Β· π¦ 3 Β· β±οΈ 05.05.2022):
+- [PyPi](https://pypi.org/project/mmocr) (π₯ 14K / month Β· π¦ 4 Β· β±οΈ 05.05.2022):
```
pip install mmocr
```
keras-ocr (π₯26 Β· β 1.3K Β· π€) - A packaged and flexible version of the CRAFT text detector.. MIT
+keras-ocr (π₯27 Β· β 1.4K Β· π€) - A packaged and flexible version of the CRAFT text detector.. MIT
-- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 18 Β· π 330 Β· π₯ 1.3M Β· π¦ 480 Β· π 210 - 46% open Β· β±οΈ 06.11.2023):
+- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 18 Β· π 330 Β· π₯ 1.6M Β· π¦ 550 Β· π 210 - 46% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/faustomorales/keras-ocr
```
-- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 48K / month Β· π¦ 8 Β· β±οΈ 06.11.2023):
+- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 35K / month Β· π¦ 8 Β· β±οΈ 06.11.2023):
```
pip install keras-ocr
```
-- [Conda](https://anaconda.org/anaconda/keras-ocr) (π₯ 310 Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/anaconda/keras-ocr) (π₯ 330 Β· β±οΈ 16.06.2023):
```
conda install -c anaconda keras-ocr
```
calamari (π₯21 Β· β 1K Β· π€) - Line based ATR Engine based on OCRopy. Apache-2
+calamari (π₯23 Β· β 1K) - Line based ATR Engine based on OCRopy. Apache-2
-- [GitHub](https://github.com/Calamari-OCR/calamari) (π¨βπ» 20 Β· π 210 Β· π 270 - 23% open Β· β±οΈ 18.08.2023):
+- [GitHub](https://github.com/Calamari-OCR/calamari) (π¨βπ» 20 Β· π 210 Β· π 280 - 24% open Β· β±οΈ 30.07.2024):
```
git clone https://github.com/Calamari-OCR/calamari
```
-- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 2.4K / month Β· π¦ 5 Β· β±οΈ 18.08.2023):
+- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 3.8K / month Β· π¦ 8 Β· β±οΈ 31.07.2024):
```
pip install calamari_ocr
```
attention-ocr (π₯20 Β· β 1.1K Β· π€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT
+attention-ocr (π₯21 Β· β 1.1K Β· π€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT
-- [GitHub](https://github.com/emedvedev/attention-ocr) (π¨βπ» 28 Β· π 250 Β· π¦ 28 Β· π 150 - 16% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/emedvedev/attention-ocr) (π¨βπ» 28 Β· π 250 Β· π¦ 29 Β· π 150 - 16% open Β· β±οΈ 20.10.2023):
```
git clone https://github.com/emedvedev/attention-ocr
```
-- [PyPi](https://pypi.org/project/aocr) (π₯ 130 / month Β· β±οΈ 19.04.2019):
+- [PyPi](https://pypi.org/project/aocr) (π₯ 190 / month Β· β±οΈ 19.04.2019):
```
pip install aocr
```
Show 3 hidden projects...
-- pdftabextract (π₯22 Β· β 2.2K Β· π) - A set of tools for extracting tables from PDF files.. Apache-2
+- pdftabextract (π₯21 Β· β 2.2K Β· π) - A set of tools for extracting tables from PDF files.. Apache-2
- doc2text (π₯20 Β· β 1.3K Β· π) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT
-- Mozart (π₯10 Β· β 580 Β· π) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 Apache-2
@@ -4396,7 +4338,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
_General-purpose data containers & structures as well as utilities & extensions for pandas._
-π best-of-python - Data Containers ( β 3.5K) - Collection of data-container, dataframe, and pandas-..
+π best-of-python - Data Containers ( β 3.6K) - Collection of data-container, dataframe, and pandas-..
@@ -4406,7 +4348,7 @@ _General-purpose data containers & structures as well as utilities & extensions
_Libraries for loading, collecting, and extracting data from a variety of data sources and formats._
-π best-of-python - Data Extraction ( β 3.5K) - Collection of data-loading and -extraction libraries.
+π best-of-python - Data Extraction ( β 3.6K) - Collection of data-loading and -extraction libraries.
@@ -4416,7 +4358,7 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
_Libraries for web scraping, crawling, downloading, and mining as well as libraries._
-π best-of-web-python - Web Scraping ( β 2.2K) - Collection of web-scraping and crawling libraries.
+π best-of-web-python - Web Scraping ( β 2.3K) - Collection of web-scraping and crawling libraries.
@@ -4426,7 +4368,7 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
_Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks._
-π best-of-python - Data Pipelines ( β 3.5K) - Libraries for data batch- and stream-processing,..
+π best-of-python - Data Pipelines ( β 3.6K) - Libraries for data batch- and stream-processing,..
@@ -4436,46 +4378,46 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
_Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._
-Ray (π₯44 Β· β 32K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2
+Ray (π₯45 Β· β 33K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1K Β· π 5.3K Β· π₯ 210 Β· π¦ 16K Β· π 18K - 20% open Β· β±οΈ 06.06.2024):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1.1K Β· π 5.6K Β· π₯ 240 Β· π¦ 18K Β· π 19K - 21% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (π₯ 4M / month Β· π¦ 700 Β· β±οΈ 22.05.2024):
+- [PyPi](https://pypi.org/project/ray) (π₯ 4.2M / month Β· π¦ 760 Β· β±οΈ 27.08.2024):
```
pip install ray
```
-- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 230K Β· β±οΈ 29.05.2024):
+- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 380K Β· β±οΈ 29.08.2024):
```
conda install -c conda-forge ray-tune
```
dask (π₯44 Β· β 12K) - Parallel computing with task scheduling. BSD-3
-- [GitHub](https://github.com/dask/dask) (π¨βπ» 600 Β· π 1.7K Β· π¦ 61K Β· π 5.2K - 20% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/dask/dask) (π¨βπ» 610 Β· π 1.7K Β· π¦ 64K Β· π 5.3K - 20% open Β· β±οΈ 04.09.2024):
```
git clone https://github.com/dask/dask
```
-- [PyPi](https://pypi.org/project/dask) (π₯ 8.9M / month Β· π¦ 2.1K Β· β±οΈ 31.05.2024):
+- [PyPi](https://pypi.org/project/dask) (π₯ 11M / month Β· π¦ 2.3K Β· β±οΈ 30.08.2024):
```
pip install dask
```
-- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 11M Β· β±οΈ 31.05.2024):
+- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 12M Β· β±οΈ 31.08.2024):
```
conda install -c conda-forge dask
```
DeepSpeed (π₯41 Β· β 33K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
+DeepSpeed (π₯41 Β· β 35K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
-- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 320 Β· π 3.9K Β· π¦ 7.3K Β· π 2.7K - 39% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 340 Β· π 4K Β· π¦ 8.6K Β· π 2.8K - 39% open Β· β±οΈ 05.09.2024):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (π₯ 530K / month Β· π¦ 170 Β· β±οΈ 23.04.2024):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 460K / month Β· π¦ 200 Β· β±οΈ 05.09.2024):
```
pip install deepspeed
```
@@ -4484,78 +4426,78 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
docker pull deepspeed/deepspeed
```
dask.distributed (π₯40 Β· β 1.5K) - A distributed task scheduler for Dask. BSD-3
+dask.distributed (π₯40 Β· β 1.6K) - A distributed task scheduler for Dask. BSD-3
-- [GitHub](https://github.com/dask/distributed) (π¨βπ» 320 Β· π 710 Β· π¦ 35K Β· π 3.9K - 39% open Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/dask/distributed) (π¨βπ» 330 Β· π 720 Β· π¦ 36K Β· π 3.9K - 39% open Β· β±οΈ 04.09.2024):
```
git clone https://github.com/dask/distributed
```
-- [PyPi](https://pypi.org/project/distributed) (π₯ 4.2M / month Β· π¦ 750 Β· β±οΈ 31.05.2024):
+- [PyPi](https://pypi.org/project/distributed) (π₯ 5.8M / month Β· π¦ 810 Β· β±οΈ 30.08.2024):
```
pip install distributed
```
-- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 14M Β· β±οΈ 31.05.2024):
+- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 15M Β· β±οΈ 30.08.2024):
```
conda install -c conda-forge distributed
```
horovod (π₯35 Β· β 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
+horovod (π₯36 Β· β 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
-- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.2K Β· π¦ 1.2K Β· π 2.2K - 17% open Β· β±οΈ 25.03.2024):
+- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.2K Β· π¦ 1.2K Β· π 2.3K - 17% open Β· β±οΈ 31.08.2024):
```
git clone https://github.com/horovod/horovod
```
-- [PyPi](https://pypi.org/project/horovod) (π₯ 95K / month Β· π¦ 29 Β· β±οΈ 12.06.2023):
+- [PyPi](https://pypi.org/project/horovod) (π₯ 150K / month Β· π¦ 33 Β· β±οΈ 12.06.2023):
```
pip install horovod
```
H2O-3 (π₯35 Β· β 6.8K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
+