{"library":"lightgbm","type":"library","category":null,"description":"LightGBM (Light Gradient Boosting Machine) is an open-source, high-performance gradient boosting framework developed by Microsoft. It uses tree-based learning algorithms and is designed for efficiency, scalability, and high accuracy, particularly with large datasets. Key innovations like Gradient-based One-Side Sampling (GOSS) and Exclusive Feature Bundling (EFB) contribute to its faster training speeds and lower memory usage. The library is actively maintained, with frequent releases, and is currently at version 4.6.0.","language":"python","status":"active","version":"4.6.0","tags":["machine-learning","gradient-boosting","decision-trees","xgboost-alternative","tabular-data","microsoft"],"install":[{"cmd":"pip install lightgbm","imports":["import lightgbm as lgb","from lightgbm import LGBMClassifier","from lightgbm import LGBMRegressor","lgb_train = lgb.Dataset(X_train, y_train)"]},{"cmd":"pip install 'lightgbm[pandas,scikit-learn,dask]'","imports":[]},{"cmd":"brew install libomp # For macOS users needing OpenMP","imports":[]}],"homepage":null,"github":"https://github.com/microsoft/LightGBM","docs":"https://lightgbm.readthedocs.io/en/latest/","changelog":"https://github.com/microsoft/LightGBM/releases","pypi":"https://pypi.org/project/lightgbm/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":25,"avg_install_s":13.2,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/lightgbm/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":"stale"}}