SW
galilai-group/stable-worldmodel
Reliable, minimal and scalable library for evaluating and conducting world model research
410 53 +3/wk
GitHub
deep-learning jepa pytorch world-model
Trend
3
Star & Fork Trend (15 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
galilai-group/stable-worldmodel has +3 stars this period . 7-day velocity: 3.8%.
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| Metric | stable-worldmodel | Awesome-Parameter-Efficient-Transfer-Learning | Auto1111SDK | segan_pytorch |
|---|---|---|---|---|
| Stars | 410 | 410 | 411 | 409 |
| Forks | 53 | 26 | 28 | 109 |
| Weekly Growth | +3 | +0 | +0 | +0 |
| Language | Python | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | AGPL-3.0 | MIT |
Capability Radar vs Awesome-Parameter-Efficient-Transfer-Learning
stable-worldmodel
Awesome-Parameter-Efficient-Transfer-Learning
Maintenance Activity 100
Last code push 3 days ago.
Community Engagement 65
Fork-to-star ratio: 12.9%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 84
+3 stars this period — 0.73% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.