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 Both

Tool 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 confidence

In Inference / Orchestration

Ranked #6 of 77

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