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Project comparison
100 Days Of ML Code vs Ultralytics
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
22.2K
Stars
0
Weekly
37/100
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 | 100 Days Of ML Code | Ultralytics |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:18 UTC | Basic listing· 2026-10-04 09:17 UTC |
| GitHub stars | 22.2K | 59.7K |
| Weekly growth | 0 | +2.7K |
| Health score | Caution37/100 | Strong95/100 |
| Contributors | 24 | 407 |
| Commits per week | 1.4 | 50.8 |
| Open issues | 19 | 160 |
| Language | Python | Python |
| License | MIT | AGPL-3.0 |
| Last commit | 2026-10-02 03:34 UTC | 2026-07-22 16:13 UTC |
| Last release | N/A | v8.4.104 |
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