{"library":"shap","type":"library","category":null,"description":"SHAP is a Python library that provides a unified approach to explain the output of any machine learning model using Shapley values, a concept from game theory. It offers various 'explainers' optimized for different model types (e.g., tree models, deep learning models, or model-agnostic approaches) and powerful visualization tools. Currently at version 0.51.0, it maintains an active development cycle with minor releases typically occurring every month or two.","language":"python","status":"active","version":"0.51.0","tags":["machine learning","explainable AI","XAI","model interpretation","shapley values","ml explainability"],"install":[{"cmd":"pip install shap","imports":["import shap","explainer = shap.Explainer(model, data)","shap_values = explainer(data)","shap.plots.beeswarm(shap_values)"]}],"homepage":"https://shap.readthedocs.io","github":"http://github.com/shap/shap","docs":"https://shap.readthedocs.io/en/latest/index.html","changelog":"https://shap.readthedocs.io/en/latest/release_notes.html","pypi":"https://pypi.org/project/shap/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":17.4,"avg_import_s":4.6,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/shap/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":"draft"}}