waybarrios/vllm-mlx

High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.

1.7k
Stars
236
Forks
65.3
Radar Score
Rising
Momentum

Scoring Breakdown

Impact71.7
Velocity58.2
Health65.0

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python

Why it ranks

Strong momentum — adoption is accelerating week over week.

LLM Frameworks · inference engineTop 16% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
98%
High Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
65.3
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

Share & Embed

Display live Radar metrics in your documentation, website, or social profiles.

View on GitHub