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Project comparison
Rapid MLX vs llama.cpp
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
llama.cpp
LLM inference in C/C++
109.6K
Stars
+1.2K
Weekly
100/100
Health
Quick Take
Adoption
llama.cpp has the larger GitHub footprint with 109.6K stars.
Momentum
llama.cpp is currently growing faster at +1.2K stars this week.
Maintenance
llama.cpp has the stronger health score at 100/100.
Side-by-side Metrics
| Signal | Rapid MLX | llama.cpp |
|---|---|---|
| GitHub stars | 2.1K | 109.6K |
| Weekly growth | 0 | +1.2K |
| Health score | 76 | 100 |
| Contributors | 26 | 1.7K |
| Commits per week | 30.4 | 86.2 |
| Open issues | 26 | 1.6K |
| Language | Python | C++ |
| License | Apache-2.0 | MIT |
| Last commit | 17h ago | 15h ago |
| Last release | v0.6.35 | b9113 |
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