Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
๐ค Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Transformers has the larger GitHub footprint with 160.5K stars.
Transformers is currently growing faster at +220 stars this week.
Transformers has the stronger health score at 96/100.
| Signal | Segmentation Models.pytorch | Transformers |
|---|---|---|
| GitHub stars | 11.5K | 160.5K |
| Weekly growth | 0 | +220 |
| Health score | 51 | 96 |
| Contributors | 78 | 3.9K |
| Commits per week | 8.9 | 64.0 |
| Open issues | 78 | 2.4K |
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Last commit | 1d ago | 19h ago |
| Last release | v0.5.0 | v5.8.0 |
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