OM
Correr-Zhou/OmniShow
ByteDance's All-in-One Video Generation Model for Human-Object Interaction Video Generation
186 9 +0/wk
GitHub ⚡ Breakout +173.5%
aigc computer-vision deep-learning diffusion-models dit large-models mmdit multimodal-ai multimodal-deep-learning video-generation visual-generation
Trend
20
Star & Fork Trend (60 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Correr-Zhou/OmniShow has +0 stars this period . 7-day velocity: 173.5%.
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| Metric | OmniShow | hailort | lacmus | OpenPointClass |
|---|---|---|---|---|
| Stars | 186 | 186 | 186 | 187 |
| Forks | 9 | 74 | 28 | 27 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | C++ | Jupyter Notebook | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | N/A | GPL-3.0 | AGPL-3.0 |
Capability Radar vs hailort
OmniShow
hailort
Maintenance Activity 100
Last code push 3 days ago.
Community Engagement 70
Fork-to-star ratio: 4.8%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.