skrub ===== .. image:: https://skrub-data.github.io/stable/_static/skrub.svg :align: center :width: 50 % :alt: skrub logo |py_ver| |pypi_var| |pypi_dl| |codecov| |circleci| |black| .. |py_ver| image:: https://img.shields.io/pypi/pyversions/skrub .. |pypi_var| image:: https://img.shields.io/pypi/v/skrub?color=informational .. |pypi_dl| image:: https://img.shields.io/pypi/dm/skrub .. |codecov| image:: https://img.shields.io/codecov/c/github/skrub-data/skrub/main .. |circleci| image:: https://img.shields.io/circleci/build/github/skrub-data/skrub/main?label=CircleCI .. |black| image:: https://img.shields.io/badge/code%20style-black-000000.svg **skrub** is a Python library that facilitates machine learning with dataframes. If you like the package, spread the word and ⭐ this repository! You can also join the `Discord server `_. Website: https://skrub-data.org/ See our `examples `_, or check out the `learning materials `_. Installation ------------ skrub can easily be installed via ``pip`` or ``conda``. For more installation information, see the `installation instructions `_. Contributing ------------ The best way to support the development of skrub is to spread the word! Also, if you already are a skrub user, we would love to hear about your use cases and challenges in the `Discussions `_ section. To report a bug or suggest enhancements, please `open an issue `_. If you want to contribute directly to the library, then check the `how to contribute `_ page on the website for more information.