vllm-project/vllm-omni

A framework for efficient model inference with omni-modality models

7.7k
Stars
2.1k
Forks
74.9
Radar Score
Rising
Momentum

Scoring Breakdown

Impact90.6
Velocity69.2
Health57.5

Growth Metrics

7-Day Stars
+167
30-Day Stars
+572
Acceleration
1.25x
Language
Python

Why it ranks

Strong momentum — adoption is accelerating week over week.

LLM Frameworks · inference engineTop 47% globally+167 stars / 7d+572 stars / 30d

Trend signal: Strong momentum with 166 new stars this week. Above-average growth velocity. High developer adoption with 85 new forks this week. Active in the LLM Frameworks category.

🛡️ 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
74.9
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.

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