IN
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
6.8k 783 +2/wk
GitHub
ai artificial-intelligence bias blackbox differential-privacy explainability explainable-ai explainable-ml gradient-boosting iml interpretability interpretable-ai
Trend
3
Star & Fork Trend (28 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
interpretml/interpret has +2 stars this period . 7-day velocity: 0.0%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | interpret | PraisonAI | learning | steel-browser |
|---|---|---|---|---|
| Stars | 6.8k | 6.8k | 6.8k | 6.8k |
| Forks | 783 | 1.0k | 881 | 923 |
| Weekly Growth | +2 | +19 | +0 | +11 |
| Language | C++ | Python | N/A | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | Apache-2.0 |
Capability Radar vs PraisonAI
interpret
PraisonAI
Maintenance Activity 96
Last code push 13 days ago.
Community Engagement 57
Fork-to-star ratio: 11.5%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 42
+2 stars this period — 0.03% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.