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Project comparison
Segmentation Models.pytorch vs Openclaw
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Segmentation Models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
11.5K
Stars
0
Weekly
51/100
Health
Openclaw
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
370.9K
Stars
0
Weekly
80/100
Health
Quick Take
Adoption
Openclaw has the larger GitHub footprint with 370.9K stars.
Momentum
Segmentation Models.pytorch is currently growing faster at 0 stars this week.
Maintenance
Openclaw has the stronger health score at 80/100.
Side-by-side Metrics
| Signal | Segmentation Models.pytorch | Openclaw |
|---|---|---|
| GitHub stars | 11.5K | 370.9K |
| Weekly growth | 0 | 0 |
| Health score | 51 | 80 |
| Contributors | 78 | 2.2K |
| Commits per week | 8.9 | 2934.2 |
| Open issues | 78 | 7.3K |
| Language |
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