MV
Blaizzy/mlx-vlm
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
4.2k 450 +39/wk
GitHub
apple-silicon florence2 idefics llava llm local-ai mlx molmo paligemma pixtral vision-framework vision-language-model
Trend
3
Star & Fork Trend (31 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Blaizzy/mlx-vlm has +39 stars this period . 7-day velocity: 2.5%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | mlx-vlm | vllm-omni | abogen | Anthropic-Cybersecurity-Skills |
|---|---|---|---|---|
| Stars | 4.2k | 4.2k | 4.2k | 4.1k |
| Forks | 450 | 718 | 265 | 449 |
| Weekly Growth | +39 | +81 | +1 | +36 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs vllm-omni
mlx-vlm
vllm-omni
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 54
Fork-to-star ratio: 10.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 96
+39 stars this period — 0.93% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.