← Back to Leaderboard
Project comparison
Rapid MLX vs Ollama
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Rapid MLX
The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.
2.1K
Stars
0
Weekly
76/100
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 | Rapid MLX | Ollama |
|---|---|---|
| GitHub stars | 2.1K | 171.2K |
| Weekly growth | 0 | +450 |
| Health score | 76 | 95 |
| Contributors | 26 | 600 |
| Commits per week | 30.4 | 24.5 |
| Open issues | 26 | 3.2K |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last commit | 18h ago | 16h ago |
| Last release | v0.6.35 | v0.23.2 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.