skrub is an open source Python package that streamlines machine learning workflows involving dataframes. It provides tools for data cleaning, feature engineering, and seamless integration with scikit-learn, making it easier for data scientists to prepare and process tabular data for ML tasks.
skrub is a Data science & ML workbench project. It simplifies and accelerates machine learning workflows with dataframes in Python. skrub is an open-source project aimed at data scientists. skrub is open source under the BSD-3-Clause license. It ships for the web and the command line.
skrub first shipped in 2018. Development happens publicly on GitHub with 1.6k stars and 108 commits in the last 90 days. Key capabilities include data cleaning, feature engineering, and dataframe support.
Summary written by a language model from the project’s public pages.
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