SHAP
/All repositories
Overview
HEALTH SCORE
Healthy
75out of 100
Solid maintainer coverage and development cadence. Security posture keeps the score from reaching Excellent.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Healthy(75/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 1 day.
Bus factor
19 active maintainers currently have merge rights.
Organization Diversity
Contributors span 229 organizations.
Project Achievements
Leaderboards
About
SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model. It connects game theory with local explanations, combining features from several previous methods and providing a new method for attributing feature importance values for any model.
First commit
Software value
$26M
Tags
deep-learning
explainability
gradient-boosting
interpretability
machine-learning
shap
shapley
License(s)
MIT
Data sources
Git
GitHub