This is a public API repository allowing users to use Forloop.ai platform directly as a Python library
Forloop is a new tool and a Python library focusing on easy automation and setting up of data extraction and data preparation pipelines. Covering tasks from webscraping, over cleaning, transformations and exploratory data analysis to orchestration and working with databases.
In order to obtain a full version of Forloop including the no-code interface please register and download the platform from app.forloop.ai.
For simplified API version you can use the package manager pip to install forloop as a Python library.
pip install forloop
Download our desktop app directly from our website app.forloop.ai or use our platform directly from Python as a library
See our documentation to quickly start using Forloop.ai platform
Please join our Slack community and ask questions, we will help you!
Download our desktop app directly from our website app.forloop.ai or use our platform directly from Python as a library
import forloop.forloop_core as flcore
fc=flcore.ForloopClient(url="http://127.0.0.1:5000")
nodes=fc.get_nodes("pipeline1.flpl")
analyzed_data=fc.analyze_data("train.csv")
cleaned_data=fc.clean_data("train.csv")
print(nodes)
print(analyzed_data)
print(cleaned_data)More examples will be gradually added in the folder Examples.
(Downloadable at app.forloop.ai)
Intelligent data cleaning
Smooth mapping between code and no-code
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change + feel free to join our community slack channel https://join.slack.com/t/forloopaicommunity/shared_invite/zt-10b6x45dz-joCPw3GQRgyZ6Z8srYxLog.
- Webscraping
- RPA
- Databases
- API connectors
- Pipelining
- Cleaning
- Launching of Python scripts
- Scheduling / Orchestration
- Google sheets integration
- Airtable integration
- Pipedrive Integration
- Code View
- Data Grid (Table-like) View
- Database View