SW
galilai-group/stable-worldmodel
Reliable, minimal and scalable library for evaluating and conducting world model research
411 53 +4/wk
GitHub
deep-learning jepa pytorch world-model
Trend
3
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
galilai-group/stable-worldmodel has +4 stars this period . 7-day velocity: 4.0%.
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Signal-backed technical analysis will be available soon.
| Metric | stable-worldmodel | Auto1111SDK | Awesome-Parameter-Efficient-Transfer-Learning | genrl |
|---|---|---|---|---|
| Stars | 411 | 411 | 410 | 412 |
| Forks | 53 | 28 | 26 | 58 |
| Weekly Growth | +4 | +0 | +0 | +0 |
| Language | Python | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | AGPL-3.0 | MIT | MIT |
Capability Radar vs Auto1111SDK
stable-worldmodel
Auto1111SDK
Maintenance Activity 100
Last code push 3 days ago.
Community Engagement 64
Fork-to-star ratio: 12.9%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 98
+4 stars this period — 0.97% 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.