shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Recent spike this week

7d +0.09% +3 stars in 7d
30d Not tracked yet — first tracked 2026-09-08
90d Not tracked yet — first tracked 2026-09-08
Sep 8, 2026: 3,254 starsSep 9, 2026: 3,254 starsSep 10, 2026: 3,254 starsSep 11, 2026: 3,254 starsSep 12, 2026: 3,254 starsSep 13, 2026: 3,254 starsSep 14, 2026: 3,255 starsSep 15, 2026: 3,255 starsSep 16, 2026: 3,256 starsSep 17, 2026: 3,256 starsSep 18, 2026: 3,257 starsSep 19, 2026: 3,257 starsSep 20, 2026: 3,257 starsSep 21, 2026: 3,257 starsSep 22, 2026: 3,257 starsSep 23, 2026: 3,257 starsSep 24, 2026: 3,257 starsSep 25, 2026: 3,258 starsSep 26, 2026: 3,259 starsSep 27, 2026: 3,259 starsSep 28, 2026: 3,259 starsSep 29, 2026: 3,259 starsSep 30, 2026: 3,260 starsOct 1, 2026: 3,260 stars 3,2543,2573,260 Sep 8Oct 1

3,254 → 3,260 stars since Sep 8

3,254 Stars 389 Forks 49 Open issues
ethical-artificial-intelligenceexplainabilityexplainable-mlinterpretabilitylimemachine-learningpythonshaptransparency