OptBinning

OptBinning is a Python library for optimal binning, a data preprocessing technique used in machine learning to transform continuous or categorical features into discrete bins. It supports various binning algorithms, including optimal, isotonic, and tree-based methods, and facilitates scorecard development. The current version is 0.21.0, with a release cadence of typically a new minor version every 1-2 months, often including new features and bug fixes.