VL
vLLM
Inference / Orchestration·infrastructure·open·Open Source·#105 of 886·+2·infrastructure·Stable
83.6
Strong
High confidence
What it does
vLLM is an open-source runtime for deploying and routing requests to ML models in production.
- Overview
- Sits between trained models and request traffic, managing throughput and resource use.
- Best for
- Teams running ML models in production who need throughput, batching, or routing controls.
- Why it matters
- It ranks #73 in the current CrowdWiseAI index. It is currently showing rising momentum across tracked signals.
Repo Score Comparison
Strong in BothTool Score
83.6
Rank #106
Repo Score
87.9
Repo Rank #7
Score Gap-4.3
Both the tool and its underlying repo score 75+ - a well-rounded, healthy project.
Pillar Breakdown
Adoption
35%
82.4
Maintenance
30%
75.8
Friction
20%
99.8
Ecosystem
15%
88.0
Momentum
50.70Stable
7d change +0.01
High confidenceIn Inference / Orchestration
Ranked #8 of 77