Shapley Python Packages

shap

A game theoretic approach to explain the output of any machine learning model.

shapiq

Shapley Interactions and Shapley Values for Machine Learning

streamlit-shap

streamlit-shap provides a wrapper to display SHAP plots in Streamlit.

acv-dev

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

sage-importance

For calculating global feature importance using Shapley values.

acv-exp

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

shaperone

A game theoretic approach to explain the output of any machine learning model.

pyshapr

Explaining the output of machine learning models with more accurately estimated Shapley values

mta

Multi-Touch Attribution

shapley

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

jev-why

Causal attribution and calibration for TypeSafe Jev decisions. Jev tells you what it decided; jev-why tells you why, and whether you should believe it.

lightshap

Lightweight Python implementation of SHAP

shaprpy

Explaining the output of machine learning models with more accurately estimated Shapley values

acvt45

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

shap2

A game theoretic approach to explain the output of any machine learning model.

insurance-sensitivity

Global sensitivity analysis — Song 2016 Shapley effects, Rabitti-Tzougas 2025 CLH subsampling, exposure-weighted variance decomposition

shapley-regression

For calculating Shapley values via linear regression.

shap-gpu

A game theoretic approach to explain the output of any machine learning model.

pou-shap

A game theoretic approach to explain the output of any machine learning model.

shap-legacy

A game theoretic approach to explain the output of any machine learning model.