# Mage vs vLLM — developer ecosystem comparison

> Side-by-side comparison of Mage and vLLM on public developer-ecosystem signals.

Mage (Magical tools for data.) and vLLM both appear on the Smoower Developer Ecosystem Index.

vLLM (rank #86) holds a meaningful lead over Mage (rank #715) on the overall Smoower ecosystem score (58 vs 31). The gap of 27 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), vLLM is clearly ahead of Mage. On education (docs, guides and learning material for developers), vLLM is clearly ahead of Mage. On community (issue response, PR reviews and discussion health), vLLM is clearly ahead of Mage. On reach (how visible the ecosystem is beyond its own repos), vLLM is ahead of Mage. On momentum (release cadence and how fast the ecosystem moves), vLLM is clearly ahead of Mage.

Mage carries 9,151 GitHub stars across 44 public repos, with 5 repositories active in the last 90 days and 12 external contributors on record. vLLM shows 131,658 stars across 52 public repos, 43 active in the last 90 days and 1,044 external contributors. The star gap on its own does not decide the comparison, but vLLM's footprint is roughly 14.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Mage is worth a look for teams already invested in its stack. vLLM looks better where code quality is the deciding factor. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.

## Scores

| Metric | Mage | vLLM |
| --- | --- | --- |
| Overall score | 31.0 | 58.0 |
| Overall rank | #715 | #86 |
| Category | ai | ai |
| Code & Polish | 34.0 | 82.0 |
| Education | 42.0 | 74.0 |
| Builder experience | 0.0 | 0.0 |
| Community | 36.0 | 77.0 |
| Reach | 40.0 | 54.0 |
| Momentum | 9.0 | 45.0 |

## Full reports

- Mage: https://www.smoower.com/mage-ai.md
- vLLM: https://www.smoower.com/vllm-project.md

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HTML version: https://www.smoower.com/compare/mage-ai-vs-vllm-project
Machine index: https://www.smoower.com/llms.txt · MCP server: https://www.smoower.com/mcp · REST API: https://www.smoower.com/api/v1