MM
open-mmlab/mmyolo
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
3.4k 626 +0/wk
GitHub
deep-learning object-detection ppyoloe pytorch rotated-object-detection rtmdet yolo yolov5 yolov6 yolov7 yolov8 yolox
Trend
3
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
open-mmlab/mmyolo has +0 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | mmyolo | AIGC-Interview-Book | rlcard | ML-Notebooks |
|---|---|---|---|---|
| Stars | 3.4k | 3.4k | 3.4k | 3.4k |
| Forks | 626 | 379 | 734 | 537 |
| Weekly Growth | +0 | +12 | -1 | +0 |
| Language | Python | N/A | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | GPL-3.0 | GPL-3.0 | MIT | Apache-2.0 |
Capability Radar vs AIGC-Interview-Book
mmyolo
AIGC-Interview-Book
Maintenance Activity 0
Last code push 634 days ago.
Community Engagement 91
Fork-to-star ratio: 18.2%. 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 GPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.