YO
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
57.2k 17.5k -1/wk
GitHub PyPI arxiv 3-source
coreml deep-learning ios machine-learning ml object-detection onnx pytorch tflite ultralytics yolo yolov3
Trend
3
Star & Fork Trend (22 data points)
Stars
Forks
Multi-Source Signals
GitHub
stars 57.2k
forks 17.5k
PyPI
package yolov5
version 7.0.14
weekly Downloads 0
arxiv
papers 1
latest Paper Ultralytics YOLO Evolution: An Overview of YOLO26, YOLO11, YOLOv8 and YOLOv5 Object Detectors for Computer Vision and Pattern Recognition
Growth Velocity
ultralytics/yolov5 has -1 stars this period , with cross-source activity across 3 platforms (github, pypi, arxiv). 7-day velocity: 0.0%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | yolov5 | anything-llm | face_recognition | ai-agents-for-beginners |
|---|---|---|---|---|
| Stars | 57.2k | 57.9k | 56.3k | 56.2k |
| Forks | 17.5k | 6.3k | 13.7k | 19.4k |
| Weekly Growth | -1 | +51 | +0 | +72 |
| Language | Python | JavaScript | Python | Jupyter Notebook |
| Sources | 3 | 1 | 2 | 2 |
| License | AGPL-3.0 | MIT | MIT | MIT |
Capability Radar vs anything-llm
yolov5
anything-llm
Maintenance Activity 100
Last code push 6 days ago.
Community Engagement 100
Fork-to-star ratio: 30.5%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 70
Licensed under AGPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.