STACKQUADRANT

vLLM

Inference Engines

vLLM — a leading open-source project in the AI/LLM ecosystem.

8.6
GitHub Metrics
Stars
81.8k
Forks
17.6k
Open Issues
5.2k
Watchers
562
Contributors
2.7k
Weekly Commits
144
Language
Python
License
Apache-2.0
Last Commit
Jun 3, 2026
Created
Feb 9, 2023
Latest Release
v0.22.0
Release Date
May 29, 2026
Synced: Jun 3, 2026
Quality Scores
Documentation Qualityw: 20%
8.2

Has docs site (https://vllm.ai). Description: 61 chars. Stars signal: 81,803. Contributors: 2748. Score: 8.2/10

Community Healthw: 20%
9.1

Stars: 81,803. Contributors: 2748. Watchers: 562. Forks: 17,596. Issue ratio: 6.3%. Score: 9.1/10

Maintenance Velocityw: 15%
9.8

Last commit: 0d ago. Weekly commits: 144. Latest release: v0.22.0. Maturity bonus: 3.3y old. Score: 9.8/10

API Design & DXw: 20%
7.3

Stars/issues ratio: 16. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 81,803 stars. Score: 7.3/10

Production Readinessw: 15%
8.6

Battle-tested: 81,803 stars. Peer review: 2748 contributors. Versioned: v0.22.0. Licensed: Apache-2.0. Age: 3.3 years. Maintenance: last commit 0d ago. Score: 8.6/10

Ecosystem Integrationw: 10%
8.9

Fork interest: 17,596. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 81,803 stars. Has web presence. Score: 8.9/10

Tags
pythoninferencehigh-throughput
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration