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shap/shap

shap

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

View on GitHub↗Upstream shap/shap↗

Builder

shap

shap

shap • individual

Stars

25,486

Using upstream star count

Forks

3,727

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Nov 22, 2016

Project creation date

README Summary

<p align="center"> <img src="https://raw.githubusercontent.com/shap/shap/master/docs/artwork/shap_header.svg" width="800" /> </p>

Community Evaluation

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AI Dev Skills

Unmapped

Additive Feature AttributionDeepSHAP for Neural NetworksExplainable AI (XAI)Feature AttributionGame Theory ApplicationsGradient-based ExplanationsLIME IntegrationModel InterpretabilityPermutation-based Feature ImportanceTreeSHAP Algorithms

Tags

Additive Feature AttributionDeepSHAP for Neural NetworksExplainable AI (XAI)Feature AttributionGame Theory ApplicationsGradient-based ExplanationsLIME IntegrationModel InterpretabilityPermutation-based Feature ImportanceTreeSHAP AlgorithmsAWSC++Deep LearningForkedHealthcare AIHuggingFaceKerasMachine LearningNumPyPyTorchPythonResearch / PapersScikit-learnSecuritySparkTensorFlowTransformers

Taxonomy

AI Trends

Explainable AIAI SafetyResponsible AIAI TransparencyTrustworthy AI

category

Model TrainingFoundation ModelsDev Tools & AutomationCloud & PlatformsLearning ResourcesIndustry: HealthcareSecurity & SafetyData Science & Analytics

Deployment Context

Self-hostedCloud APIJupyter NotebooksPython Applications

Industries

HealthcareFinTechLegal TechInsuranceCredit ScoringRisk Assessment

Modalities

TabularTextImage

Skill Areas

Model InterpretabilityExplainable AI (XAI)Game Theory ApplicationsFeature AttributionLIME IntegrationTreeSHAP AlgorithmsDeepSHAP for Neural NetworksGradient-based ExplanationsPermutation-based Feature ImportanceAdditive Feature Attribution

tag

AWSC++Deep LearningForkedHealthcare AIHuggingFaceKerasMachine LearningNumPyPyTorchPythonResearch / PapersScikit-learnSecuritySparkTensorFlowTransformers

Use Cases

Model Prediction ExplanationFeature Importance AnalysisModel Debugging and ValidationRegulatory Compliance ReportingBias Detection in ML ModelsModel Performance DiagnosticsBusiness Stakeholder Communication

Recent Activity

Updated 2 months ago

7 Days

0

30 Days

0

90 Days

1

Fix NumPy deprecation warning in coalition explainer (#4291)

Tobias Pitters • Mar 7, 2026

b126175

fix Python Version of Tree SHAP notebook (#4289)

Tobias Pitters • Mar 3, 2026

03a6cd1

Fix missing array to scalar conversion in MAPLE (#4285)

Martin Fitzner • Mar 3, 2026

e9440d6

Quality

production
Quality
high
Maturity
production

Categories

Dev Tools & AutomationPrimaryCloud & PlatformsLearning ResourcesIndustry: HealthcareSecurity & SafetyData Science & AnalyticsFoundation ModelsModel TrainingHealthcare & BiologySearch & KnowledgeOther AI / ML

PM Skills

Developer Platform

Languages

Jupyter Notebook100.0%

Timeline

Project created
Nov 22, 2016
Forked
Mar 22, 2026
Your last push
2 months ago
Upstream last push
18 days ago
Tracked since
Mar 12, 2026

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