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Core Frameworks \u0026 Libraries"],"sub_categories":["General-Purpose Machine Learning"],"readme":"skrub\n=====\n\n.. image:: https://skrub-data.github.io/stable/_static/skrub.svg\n   :align: center\n   :width: 50 %\n   :alt: skrub logo\n\n\n|py_ver| |pypi_var| |pypi_dl| |codecov| |circleci| |black|\n\n.. |py_ver| image:: https://img.shields.io/pypi/pyversions/skrub\n.. |pypi_var| image:: https://img.shields.io/pypi/v/skrub?color=informational\n.. |pypi_dl| image:: https://img.shields.io/pypi/dm/skrub\n.. |codecov| image:: https://img.shields.io/codecov/c/github/skrub-data/skrub/main\n.. |circleci| image:: https://img.shields.io/circleci/build/github/skrub-data/skrub/main?label=CircleCI\n.. |black| image:: https://img.shields.io/badge/code%20style-black-000000.svg\n\n\n**skrub** (formerly *dirty_cat*) is a Python\nlibrary that facilitates doing machine learning with dataframes.\n\nIf you like the package, spread the word and ⭐ this repository!\nYou can also join the `discord server \u003chttps://discord.gg/ABaPnm7fDC\u003e`_.\n\nWebsite: https://skrub-data.org/\n\nSee our `examples \u003chttps://skrub-data.org/stable/auto_examples\u003e`_, or check out\nthe `learning materials \u003chttps://skrub-data.org/skrub-materials/index.html\u003e`_.\n\nInstallation\n------------\n\nskrub can easily be installed via ``pip`` or ``conda``. For more installation information, see\nthe `installation instructions \u003chttps://skrub-data.org/stable/install.html\u003e`_.\n\nContributing\n------------\n\nThe best way to support the development of skrub is to spread the word!\n\nAlso, if you already are a skrub user, we would love to hear about your use cases and challenges in the `Discussions \u003chttps://github.com/skrub-data/skrub/discussions\u003e`_ section.\n\nTo report a bug or suggest enhancements, please\n`open an issue \u003chttps://docs.github.com/en/issues/tracking-your-work-with-issues/creating-an-issue\u003e`_.\n\nIf you want to contribute directly to the library, then check the\n`how to contribute \u003chttps://skrub-data.org/stable/CONTRIBUTING.html\u003e`_ page on\nthe website for more information.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fskrub-data%2Fskrub","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fskrub-data%2Fskrub","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fskrub-data%2Fskrub/lists"}