# Open WebUI vs Vercel Labs — developer ecosystem comparison

> Side-by-side comparison of Open WebUI and Vercel Labs on public developer-ecosystem signals.

Open WebUI (On a mission to build the best AI user interface.) and Vercel Labs (Develop. Preview. Ship. Creators of Next.js.) both appear on the Smoower Developer Ecosystem Index.

Vercel Labs (rank #10) holds a modest lead over Open WebUI (rank #88) on the overall Smoower ecosystem score (71 vs 59). The gap of 12 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), Vercel Labs is slightly ahead of Open WebUI. On education (docs, guides and learning material for developers), Open WebUI is ahead of Vercel Labs. On community (issue response, PR reviews and discussion health), Open WebUI is ahead of Vercel Labs. On momentum (release cadence and how fast the ecosystem moves), Vercel Labs is clearly ahead of Open WebUI.

Open WebUI carries 169,640 GitHub stars across 25 public repos, with 8 repositories active in the last 90 days and 191 external contributors on record. Vercel Labs shows 216,094 stars across 378 public repos, 75 active in the last 90 days and 450 external contributors.

Open WebUI is the stronger read for anyone weighting education. Vercel Labs looks better where momentum 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 | Open WebUI | Vercel Labs |
| --- | --- | --- |
| Overall score | 59.0 | 71.0 |
| Overall rank | #88 | #10 |
| Category | ai | ai |
| Code & Polish | 56.0 | 64.0 |
| Education | 87.0 | 74.0 |
| Builder experience | 0.0 | 0.0 |
| Community | 57.0 | 45.0 |
| Reach | 82.0 | 82.0 |
| Momentum | 29.0 | 80.0 |

## Full reports

- Open WebUI: https://www.smoower.com/open-webui.md
- Vercel Labs: https://www.smoower.com/vercel-labs.md

---

HTML version: https://www.smoower.com/compare/open-webui-vs-vercel-labs
Machine index: https://www.smoower.com/llms.txt · MCP server: https://www.smoower.com/mcp · REST API: https://www.smoower.com/api/v1