shapiq and sage

ShapIQ provides a broader framework for computing both Shapley values and higher-order Shapley interactions across multiple game-theoretic concepts, while SAGE focuses specifically on a single global feature importance method (Stratified Aggregate Gradients Estimation) built on Shapley values, making them complementary tools for different levels of interaction analysis.

shapiq

Verified

sage

Established

Maintenance 20/25

Adoption 21/25

Maturity 25/25

Community 15/25

Maintenance 13/25

Adoption 10/25

Maturity 16/25

Community 17/25

Stars: 695

Forks: 48

Downloads: 17,129

Commits (30d): 16

Language: Python

License: MIT

Stars: 285

Forks: 34

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

No risk flags

No Package No Dependents

About shapiq

mmschlk/shapiq

Shapley Interactions and Shapley Values for Machine Learning

About sage

iancovert/sage

For calculating global feature importance using Shapley values.

Related comparisons

shapiq and shap shapiq and shapley shapiq and cf-shap shapiq and awesome-shapley-value shapiq and shap

Scores updated daily from GitHub, PyPI, and npm data. How scores work