SH
MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
3.2k 374 +0/wk
GitHub
ethical-artificial-intelligence explainability explainable-ml interpretability lime machine-learning python shap transparency
Trend
3
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
MAIF/shapash has +0 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | shapash | Skywork-R1V | neo | awesome-TS-anomaly-detection |
|---|---|---|---|---|
| Stars | 3.2k | 3.2k | 3.2k | 3.2k |
| Forks | 374 | 278 | 202 | 463 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | JavaScript | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | N/A |
Capability Radar vs Skywork-R1V
shapash
Skywork-R1V
Maintenance Activity 100
Last code push 6 days ago.
Community Engagement 59
Fork-to-star ratio: 11.8%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.