STACKQUADRANT

vLLM

Inference Engines

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

8.6
GitHub Metrics
Stars
90.7k
Forks
21.6k
Open Issues
7.3k
Watchers
597
Contributors
3.3k
Weekly Commits
202
Language
Python
License
Apache-2.0
Last Commit
Sep 1, 2026
Created
Feb 9, 2023
Latest Release
v0.28.0
Release Date
Aug 26, 2026
Synced: Sep 1, 2026
Quality Scores
Documentation Qualityw: 20%
8.2

Has docs site (https://vllm.ai). Description: 61 chars. Stars signal: 90,690. Contributors: 3334. Score: 8.2/10

Community Healthw: 20%
9.1

Stars: 90,690. Contributors: 3334. Watchers: 597. Forks: 21,551. Issue ratio: 8.1%. Score: 9.1/10

Maintenance Velocityw: 15%
9.8

Last commit: 0d ago. Weekly commits: 202. Latest release: v0.28.0. Maturity bonus: 3.6y old. Score: 9.8/10

API Design & DXw: 20%
7.3

Stars/issues ratio: 12. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 90,690 stars. Score: 7.3/10

Production Readinessw: 15%
8.6

Battle-tested: 90,690 stars. Peer review: 3334 contributors. Versioned: v0.28.0. Licensed: Apache-2.0. Age: 3.6 years. Maintenance: last commit 0d ago. Score: 8.6/10

Ecosystem Integrationw: 10%
8.9

Fork interest: 21,551. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 90,690 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