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 Both

Tool 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 confidence

In Inference / Orchestration

Ranked #8 of 77

Similar Tools