← Back to Leaderboard
Project comparison
Mlx Vlm vs Ollama
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Mlx Vlm
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
4.7K
Stars
0
Weekly
68/100
Health
Ollama
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
171.2K
Stars
+450
Weekly
95/100
Health
Quick Take
Adoption
Ollama has the larger GitHub footprint with 171.2K stars.
Momentum
Ollama is currently growing faster at +450 stars this week.
Maintenance
Ollama has the stronger health score at 95/100.
Side-by-side Metrics
| Signal | Mlx Vlm | Ollama |
|---|---|---|
| GitHub stars | 4.7K | 171.2K |
| Weekly growth | 0 | +450 |
| Health score | 68 | 95 |
| Contributors | 99 | 600 |
| Commits per week | 14.1 | 24.5 |
| Open issues | 152 | 3.2K |
| Language | Python | Go |
| License | MIT | MIT |
| Last commit | 17h ago | 15h ago |
| Last release | v0.5.0 | v0.23.2 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.