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Project comparison
Rapid MLX vs vLLM
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
vLLM
A high-throughput and memory-efficient inference and serving engine for LLMs
79.7K
Stars
+606
Weekly
93/100
Health
Quick Take
Adoption
vLLM has the larger GitHub footprint with 79.7K stars.
Momentum
vLLM is currently growing faster at +606 stars this week.
Maintenance
vLLM has the stronger health score at 93/100.
Side-by-side Metrics
| Signal | Rapid MLX | vLLM |
|---|---|---|
| GitHub stars | 2.1K | 79.7K |
| Weekly growth | 0 | +606 |
| Health score | 76 | 93 |
| Contributors | 26 | 2.6K |
| Commits per week | 30.4 | 208.8 |
| Open issues | 26 | 4.9K |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 17h ago | 15h ago |
| Last release | v0.6.35 | v0.20.2 |
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