STACKQUADRANT

vLLM

Inference Engines

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

8.6
GitHub Metrics
Stars
84.7k
Forks
18.6k
Open Issues
5.5k
Watchers
566
Contributors
2.9k
Weekly Commits
22
Language
Python
License
Apache-2.0
Last Commit
Jun 28, 2026
Created
Feb 9, 2023
Latest Release
v0.23.0
Release Date
Jun 15, 2026
Synced: Jun 28, 2026
Quality Scores
Documentation Qualityw: 20%
8.2

Has docs site (https://vllm.ai). Description: 61 chars. Stars signal: 84,650. Contributors: 2916. Score: 8.2/10

Community Healthw: 20%
9.1

Stars: 84,650. Contributors: 2916. Watchers: 566. Forks: 18,610. Issue ratio: 6.5%. Score: 9.1/10

Maintenance Velocityw: 15%
9.8

Last commit: 0d ago. Weekly commits: 22. Latest release: v0.23.0. Maturity bonus: 3.4y old. Score: 9.8/10

API Design & DXw: 20%
7.3

Stars/issues ratio: 15. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 84,650 stars. Score: 7.3/10

Production Readinessw: 15%
8.6

Battle-tested: 84,650 stars. Peer review: 2916 contributors. Versioned: v0.23.0. Licensed: Apache-2.0. Age: 3.4 years. Maintenance: last commit 0d ago. Score: 8.6/10

Ecosystem Integrationw: 10%
8.9

Fork interest: 18,610. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 84,650 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