LT
lightly-ai/lightly-train
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
1.4k 69 +2/wk
GitHub
computer-vision contrastive-learning deep-learning dinov2 dinov3 distillation embeddings eomt machine-learning object-detection pretrained-models python
Trend
3
Star & Fork Trend (29 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lightly-ai/lightly-train has +2 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | lightly-train | spacy-transformers | ILearnDeepLearning.py | Speech-Emotion-Analyzer |
|---|---|---|---|---|
| Stars | 1.4k | 1.4k | 1.4k | 1.4k |
| Forks | 69 | 176 | 462 | 437 |
| Weekly Growth | +2 | +0 | +1 | +0 |
| Language | Python | Python | Jupyter Notebook | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | AGPL-3.0 | MIT | MIT | MIT |
Capability Radar vs spacy-transformers
lightly-train
spacy-transformers
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 70
Fork-to-star ratio: 4.9%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 49
+2 stars this period — 0.14% growth rate.
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.