feat: change all repository links to new GitHub organization

README.md

@@ -1,11 +1,11 @@
 <div align="center">
-    <img width="400px" src="https://github.com/HPI-Information-Systems/gutentag/raw/main/logo_transparent.png" alt="TimeEval logo"/>
+    <img width="400px" src="https://github.com/TimeEval/gutentag/raw/main/logo_transparent.png" alt="TimeEval logo"/>
     <p>
     A good <strong>T</strong>imeseries <strong>A</strong>nomaly <strong>G</strong>enerator.
     </p>
 
-[![CI](https://github.com/HPI-Information-Systems/gutentag/actions/workflows/build.yml/badge.svg)](https://github.com/HPI-Information-Systems/gutentag/actions/workflows/build.yml)
-[![codecov](https://codecov.io/gh/HPI-Information-Systems/gutentag/branch/main/graph/badge.svg?token=6QXOCY4TS2)](https://codecov.io/gh/HPI-Information-Systems/gutentag)
+[![CI](https://github.com/TimeEval/gutentag/actions/workflows/build.yml/badge.svg)](https://github.com/TimeEval/gutentag/actions/workflows/build.yml)
+[![codecov](https://codecov.io/gh/TimeEval/gutentag/branch/main/graph/badge.svg?token=6QXOCY4TS2)](https://codecov.io/gh/TimeEval/gutentag)
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 [![PyPI package](https://badge.fury.io/py/timeeval-gutenTAG.svg)](https://badge.fury.io/py/timeeval-gutenTAG)
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
@@ -67,7 +67,7 @@ A GutenTAG time series consists of a single (univariate) or multiple (multivaria
 
    You should see the following time series:
 
-   ![Example unsupervised time series with two anomalies](https://github.com/HPI-Information-Systems/gutentag/raw/main/example-ts.png)
+   ![Example unsupervised time series with two anomalies](https://github.com/TimeEval/gutentag/raw/main/example-ts.png)
 
 ## Documentation
 

doc/advanced-features.md

@@ -33,12 +33,11 @@ class BaseAddOn:
 
 ### Implemented Add-Ons
 
-GutenTAG already comes with an add-on for the TimeEval [^1] [^2] tool. This add-on creates a `datasets.csv` meta-file in the output directory. This file is necessary to import the generated datasets into the TimeEval tool. Use it as follows:
+GutenTAG already comes with an add-on for the [TimeEval](https://github.com/TimeEval/timeeval) tool.
+This add-on creates a `datasets.csv` meta-file in the output directory.
+This file is necessary to import the generated datasets into the TimeEval tool.
+Use it as follows:
 
 ```shell
 python -m gutenTAG --config-yaml config.yaml --addons gutenTAG.addons.timeeval.TimeEvalAddOn
 ```
-
-[^1]: HPI Gitlab: https://gitlab.hpi.de/akita/bp2020fn1/timeeval/
-
-[^2]: HPI Github: https://github.com/HPI-Information-Systems/timeeval

doc/introduction/index.md

@@ -18,12 +18,9 @@ You can install GutenTAG from the official Python Package Index or from source.
 - Installation from source:
 
   ```bash
-  # clone GutenTAG repository from gitlab or extract the archive
-  git clone [email protected]:akita/guten-tag.git #or unzip guten-tag.zip
-  # or for github:
-  git clone [email protected]:HPI-Information-Systems/gutentag.git
+  git clone [email protected]:TimeEval/GutenTAG.git
 
-  cd guten-tag
+  cd GutenTAG
 
   # (optionally) create a new conda environment with Python 3
   conda create -n gutentag python=3.8

setup.py

@@ -113,7 +113,7 @@ def run(self):
         long_description_content_type="text/markdown",
         author="Phillip Wenig and Sebastian Schmidl",
         author_email="[email protected]",
-        url="https://github.com/HPI-Information-Systems/gutentag",
+        url="https://github.com/TimeEval/gutentag",
         license="MIT",
         classifiers=[
             "License :: OSI Approved :: MIT License",