STACKQUADRANT

vllm-project/vllm-omni

Model Serving

A framework for efficient model inference with omni-modality models

7.9
GitHub Metrics
Stars
7.4k
Forks
2.0k
Open Issues
1.8k
Watchers
60
Contributors
526
Weekly Commits
46
Language
Python
License
Apache-2.0
Last Commit
Oct 26, 2026
Created
Sep 11, 2025
Latest Release
v0.30.0
Release Date
Sep 25, 2026
Synced: Oct 27, 2026
Quality Scores
Documentation Qualityw: 20%
7.8

Has docs site (https://docs.vllm.ai/projects/vllm-omni). Description: 67 chars. Stars signal: 7,372. Contributors: 526. Score: 7.8/10

Community Healthw: 20%
7.6

Stars: 7,372. Contributors: 526. Watchers: 60. Forks: 1,975. Issue ratio: 24.5%. Score: 7.6/10

Maintenance Velocityw: 15%
9.8

Last commit: 0d ago. Weekly commits: 46. Latest release: v0.30.0. Maturity bonus: 1.1y old. Score: 9.8/10

API Design & DXw: 20%
6.5

Stars/issues ratio: 4. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 7,372 stars. Score: 6.5/10

Production Readinessw: 15%
8.0

Battle-tested: 7,372 stars. Peer review: 526 contributors. Versioned: v0.30.0. Licensed: Apache-2.0. Age: 1.1 years. Maintenance: last commit 0d ago. Score: 8/10

Ecosystem Integrationw: 10%
8.4

Fork interest: 1,975. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 7,372 stars. Has web presence. Score: 8.4/10

Tags
audio-generationdiffusionimage-generationinferencemodel-servingmultimodalpytorchtransformervideo-generation
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration