WI
World-In-World/world-in-world
Code implementation of the paper "World-in-World: World Models in a Closed-Loop World" (ICLR'26 Oral)
153 3 +0/wk
GitHub
computer-vision embodied-ai generative-ai video-generation world-models
Trend
0
Star & Fork Trend (15 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
World-In-World/world-in-world has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | world-in-world | streamlit-img-label | 100-AI-Machine-learning-Deep-learning-Computer-vision-NLP | BotBrain |
|---|---|---|---|---|
| Stars | 153 | 152 | 152 | 152 |
| Forks | 3 | 37 | 14 | 30 |
| Weekly Growth | +0 | +0 | +1 | +1 |
| Language | Python | Python | N/A | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | N/A | MIT |
Capability Radar vs streamlit-img-label
world-in-world
streamlit-img-label
Maintenance Activity 100
Last code push 6 days ago.
Community Engagement 61
Fork-to-star ratio: 2.0%. Lower fork ratio may indicate passive usage.
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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.