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 +37/wk
GitHub
apple-silicon florence2 idefics llava llm local-ai mlx molmo paligemma pixtral vision-framework vision-language-model
Trend 3

Star & Fork Trend (29 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

Blaizzy/mlx-vlm has +37 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 4.2k4.2k4.1k
Forks 450 719265449
Weekly Growth +37 +63+1+31
Language Python PythonPythonPython
Sources 1 111
License MIT Apache-2.0MITApache-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 93

+37 stars this period — 0.88% 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.