# Sourcegraph vs vLLM — developer ecosystem comparison

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

Sourcegraph (Helping developers search, understand, and write code in complex codebases with AI) and vLLM both appear on the Smoower Developer Ecosystem Index.

vLLM (rank #87) holds a narrow lead over Sourcegraph (rank #125) on the overall Smoower ecosystem score (58 vs 54). The gap of 4 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 Sourcegraph. On education (docs, guides and learning material for developers), vLLM is ahead of Sourcegraph. On community (issue response, PR reviews and discussion health), vLLM is clearly ahead of Sourcegraph. On reach (how visible the ecosystem is beyond its own repos), Sourcegraph is ahead of vLLM. On momentum (release cadence and how fast the ecosystem moves), Sourcegraph is clearly ahead of vLLM.

Sourcegraph carries 45,486 GitHub stars across 605 public repos, with 72 repositories active in the last 90 days and 17 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.

Sourcegraph is the stronger read for anyone weighting momentum. vLLM looks better where community 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 | Sourcegraph | vLLM |
| --- | --- | --- |
| Overall score | 54.0 | 58.0 |
| Overall rank | #125 | #87 |
| Category | ai | ai |
| Code & Polish | 54.0 | 82.0 |
| Education | 54.0 | 74.0 |
| Builder experience | 0.0 | 0.0 |
| Community | 46.0 | 77.0 |
| Reach | 66.0 | 54.0 |
| Momentum | 80.0 | 45.0 |

## Full reports

- Sourcegraph: https://www.smoower.com/sourcegraph.md
- vLLM: https://www.smoower.com/vllm-project.md

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HTML version: https://www.smoower.com/compare/sourcegraph-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