PyCaret: Low-code Machine Learning Library for Python

PyCaret: Low-code Machine Learning Library for Python
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PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that speeds up the experiment cycle exponentially and makes you more productive.


In comparison with the other open-source machine learning libraries, PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with few lines only. This makes experiments exponentially fast and efficient.

PyCaret is essentially a Python wrapper around several machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, and few more.

PyCaret comes with a rich tutorial set, that include video several tutorials, cheat sheet, and a comprehensive documentation.

License

PyCaret is released under the open-soure MIT license.

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