Shapley Values Python Packages

decishift

Open-source ML behavioral regression testing for comparing decision-system versions, identifying changed actions, attributing shifts, and gating releases with Decision Contracts.

causasv

Causal feature attribution via Asymmetric Shapley Values (ASV)

treeig

Exact Integrated Gradients for tree ensembles, including XGBoost, LightGBM, Random Forests, and Gradient Boosting. Computes fast, exact feature attributions for tree models without numerical gradients, numerical integration, Monte Carlo sampling, or path approximations.

unifiedig

Provides a unified approach to Integrated Gradients: a common API for many models, include tree-based models; and common baseline semantics with prediction-neutral baseline distributions as the default.

timeshap

TimeSHAP explains Recurrent Neural Network predictions.

insurance-gam

Interpretable GAM models for insurance pricing — EBM tariffs, Actuarial NAM, Pairwise Interaction Networks (PIN), exact Shapley values

chessplainer

Explain chess positions with SHAP: which pieces make Stockfish think a position is winning, drawn or lost.

anatomy

Shapley-based decomposition to anatomize the of out-of-sample accuracy of time-series forecasting models

shapley-value-regression

A Python implementation of Shapley Value Regression to calculate the precise feature importance and marginal contributions of independent variables in regression models.

treeshap

Exact TreeSHAP in Rust — fast Shapley values for XGBoost, LightGBM, and ONNX tree ensembles

shapley-attribution

Shapley Attribution: A scikit-learn compatible library that uses Shapley values to measure each marketing channel's true marginal contribution to conversions

xaiflow

Create beautiful, interactive charts for explainable AI using MLFlow

rshap

Undertanding the impact of individual data instances on model performance using residual decomposition and Shapley values

radshap

A radiomic interpretation tool based on Shapley values