LI
PAIR-code/lit
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
3.6k 371 +0/wk
GitHub
machine-learning natural-language-processing visualization
Trend
3
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
PAIR-code/lit has +0 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 | lit | AI_Tutorial | Andrew-NG-Notes | SimCSE |
|---|---|---|---|---|
| Stars | 3.6k | 3.6k | 3.6k | 3.6k |
| Forks | 371 | 514 | 1.2k | 533 |
| Weekly Growth | +0 | +0 | +1 | +0 |
| Language | TypeScript | N/A | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | N/A | N/A | MIT |
Capability Radar vs AI_Tutorial
lit
AI_Tutorial
Maintenance Activity 97
Last code push 13 days ago.
Community Engagement 51
Fork-to-star ratio: 10.2%. 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.