SHAP (SHapley Additive exPlanations)

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.