VL
vLLM
Inference / Orchestration·infrastructure·open·Open Source·#73 of 944·-2·infrastructure·Rising
84.7
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
84.7
Rank #72
Repo Score
87.7
Repo Rank #8
Score Gap-3.1
Both the tool and its underlying repo score 75+ - a well-rounded, healthy project.
Pillar Breakdown
Adoption
35%
83.9
Maintenance
30%
78.1
Friction
20%
99.9
Ecosystem
15%
86.7
Momentum
66.80Rising
7d change +0.16
High confidenceIn Inference / Orchestration
Ranked #6 of 77