MA
roboflow/maestro
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
2.7k 222 +0/wk
GitHub
captioning fine-tuning florence-2 multimodal objectdetection paligemma phi-3-vision qwen2-vl transformers vision-and-language vqa
Trend
3
Star & Fork Trend (36 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
roboflow/maestro has +0 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 | maestro | xTuring | second-brain-ai-assistant-course | clip-retrieval |
|---|---|---|---|---|
| Stars | 2.7k | 2.7k | 2.6k | 2.7k |
| Forks | 222 | 212 | 469 | 239 |
| Weekly Growth | +0 | -2 | +2 | +1 |
| Language | Python | Python | Jupyter Notebook | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | MIT | MIT |
Capability Radar vs xTuring
maestro
xTuring
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 42
Fork-to-star ratio: 8.3%. Lower fork ratio may indicate passive usage.
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 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.