Thank you for choosing to contribute to PyCaret. There are a ton of great open-source projects out there, so we appreciate your interest in contributing to PyCaret. It is an open-source, low-code machine learning library in Python developed and open-sourced in April 2020 by Moez Ali and is now maintained by awesome community members just like you. In this documentation, we will cover a couple of ways you can contribute to this project.


There is always room for improvement in documentation. We welcome all the pull requests to fix typo / improve grammar or semantic structuring of documents. Here are a few documents you can work on:

Open Issues

If you would like to help in working on open issues. Look out for following tags: good first issue help wanted open for contribution

Medium Writers

If you are interested or have already written a Medium story covering PyCaret. You can submit your story in a markdown format. Submit a PR to To convert medium stories into markdown format please download this chrome extension:

Major Contribution

If you are willing to make a major contribution you can always lookout for the active sprint under Projects and discuss the proposal with sprint leader.

What we currently need help on?

Development setup

Follow installation instructions to first create a virtual environment. Then, install development version of the package:

pip install -e .[test]

We use pre-commit with black for code formatting. It runs automatically before you make a new commit. To set up pre-commit, follow these steps:

  1. Install pre-commit:

pip install pre-commit
  1. Set up pre-commit:

pre-commit install

Unit testing

Install development version of the package with additional extra dependencies required for unit testing:

pip install -e .[test]
python -m spacy download en_core_web_sm

We use pytest for unit testing.

To run tests, except skipped ones (search for @pytest.mark.skip decorator over test functions), run:

pytest pycaret


We use sphinx to build our documentation and readthedocs to host it. The source files can be found in docs/source/. The main configuration file for sphinx is and the main page is index.rst.

To build the documentation locally, you need to install a few extra dependencies listed in docs/source/requirements.txt:

pip install -r docs/source/requirements.txt

To build the website locally, run:


You can find the generated files in the docs/build/ folder. To view the website, open docs/build/index.html with your preferred web browser.