Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Best matched with other framework tools.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Best matched with other framework tools.
Yolov5 has the larger GitHub footprint with 57.7K stars.
Yolov5 is currently growing faster at +354 stars this week.
Ncnn has the stronger automated maintenance signal at 73/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Ncnn | Yolov5 |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:17 UTC | Basic listing· 2026-10-04 09:18 UTC |
| GitHub stars | 23.6K | 57.7K |
| Weekly growth | +352 | +354 |
| Health score | Healthy73/100 | Healthy64/100 |
| Contributors | 375 | 348 |
| Commits per week | 5.8 | 3.6 |
| Open issues | 1.2K | 30 |
| Language | C++ | Python |
| License | NOASSERTION | AGPL-3.0 |
| Last commit | 2026-07-22 06:13 UTC | 2026-07-21 10:14 UTC |
| Last release | 20260526 | v7.0 |
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