YO
Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
10.4k 2.5k +3/wk
GitHub
deep-learning megengine ncnn object-detection onnx openvino pytorch tensorrt yolo yolov3 yolox
Trend
3
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Megvii-BaseDetection/YOLOX has +3 stars this period . 7-day velocity: 0.0%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | YOLOX | mit-deep-learning | stanford-tensorflow-tutorials | openFrameworks |
|---|---|---|---|---|
| Stars | 10.4k | 10.4k | 10.4k | 10.4k |
| Forks | 2.5k | 2.2k | 4.3k | 2.6k |
| Weekly Growth | +3 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | NOASSERTION |
Capability Radar vs mit-deep-learning
YOLOX
mit-deep-learning
Maintenance Activity 0
Last code push 305 days ago.
Community Engagement 100
Fork-to-star ratio: 23.6%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 42
+3 stars this period — 0.03% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.