← Back to Leaderboard
Project comparison
Segmentation Models.pytorch vs Ultralytics
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.
Best matched with other framework tools.
11.7K
Stars
+138
Weekly
66/100
Health
Ultralytics
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Best matched with other framework tools.
59.7K
Stars
+2.7K
Weekly
95/100
Health
Quick Take
Adoption
Ultralytics has the larger GitHub footprint with 59.7K stars.
Momentum
Ultralytics is currently growing faster at +2.7K stars this week.
Maintenance
Ultralytics has the stronger automated maintenance signal at 95/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Segmentation Models.pytorch | Ultralytics |
|---|---|---|
| Evidence status | Basic listing· 15h ago | Basic listing· 15h ago |
| GitHub stars | 11.7K | 59.7K |
| Weekly growth | +138 | +2.7K |
| Health score | Healthy66/100 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.