Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Best matched with other framework tools.
Scikit Learn has the larger GitHub footprint with 66.8K stars.
Ultralytics is currently growing faster at +2.7K stars this week.
Ultralytics has the stronger automated maintenance signal at 100/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Scikit Learn | Ultralytics |
|---|---|---|
| Evidence status | Basic listing· 1d ago | Basic listing· 1d ago |
| GitHub stars | 66.8K | 59.7K |
| Weekly growth | +709 | +2.7K |
| Health score | Healthy73/100 |
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| Contributors | 3.5K | 407 |
|---|
| Commits per week | 21.5 | 50.8 |
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| Open issues | 2.1K | 160 |
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| Language | Python | Python |
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| License | BSD-3-Clause | AGPL-3.0 |
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| Last commit | 2d ago | 1d ago |
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| Last release | 1.9.0 | v8.4.104 |
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