Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
Best matched with other inference tools.
Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Best matched with other inference tools.
ollama has the larger GitHub footprint with 182.2K stars.
Mlx Vlm is currently growing faster at +752 stars this week.
Mlx Vlm has the stronger automated maintenance signal at 88/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Mlx Vlm | ollama |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:17 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 5.4K | 182.2K |
| Weekly growth | +752 | +450 |
| Health score | Strong88/100 | Strong88/100 |
| Contributors | 158 | 600 |
| Commits per week | 52.8 | 24.5 |
| Open issues | 180 | 3.2K |
| Language | Python | Go |
| License | MIT | MIT |
| Last commit | 2026-08-30 21:39 UTC | 2026-10-04 05:57 UTC |
| Last release | v0.6.17 | v0.23.2 |
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