{"library":"optbinning","type":"library","category":null,"description":"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.","language":"python","status":"active","version":"0.21.0","tags":["binning","feature-engineering","data-preprocessing","machine-learning","scorecard"],"install":[{"cmd":"pip install optbinning","imports":["from optbinning import OptimalBinning","from optbinning import BinningProcess","from optbinning import Scorecard","from optbinning.optimal_binning import OptimalBinningSklearn"]}],"homepage":"https://www.optbinning.com","github":"https://github.com/guillermo-navas-palencia/optbinning","docs":null,"changelog":null,"pypi":"https://pypi.org/project/optbinning/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":21.9,"avg_import_s":7.4,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/optbinning/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}