← Back to Leaderboard
Project comparison
Vit Pytorch vs Ultralytics
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Vit Pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Best matched with other framework tools.
25.4K
Stars
+267
Weekly
60/100
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 | Vit Pytorch | Ultralytics |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:17 UTC | Basic listing· 2026-10-04 09:17 UTC |
| GitHub stars | 25.4K | 59.7K |
| Weekly growth | +267 | +2.7K |
| Health score | Healthy60/100 | Strong95/100 |
| Contributors | 28 | 407 |
| Commits per week | 1.8 | 50.8 |
| Open issues | 142 | 160 |
| Language | Python | Python |
| License | MIT | AGPL-3.0 |
| Last commit | 2026-06-22 01:06 UTC | 2026-07-22 16:13 UTC |
| Last release | 1.17.8 | v8.4.104 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.