Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Visualizer for neural network, deep learning and machine learning models
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.
Netron is currently growing faster at +388 stars this week.
Netron has the stronger automated maintenance signal at 65/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Netron | Yolov5 |
|---|---|---|
| Evidence status | Basic listing· 2d ago | Basic listing· 2d ago |
| GitHub stars | 33.3K | 57.7K |
| Weekly growth | +388 | +354 |
| Health score | Healthy65/100 |
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| Contributors | 1 | 348 |
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| Commits per week | 14.2 | 3.6 |
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| Open issues | 19 | 30 |
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| Language | JavaScript | Python |
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| License | MIT | AGPL-3.0 |
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| Last commit | 3d ago | 3d ago |
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| Last release | v9.1.8 | v7.0 |
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