# Ouroboros vs vLLM

> Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.

| | Ouroboros | vLLM |
|---|---|---|
| Score | 55/100 | 91/100 ✓ |
| Rank in category | #65 of 209 in AI Agents | #3 of 25 in LLM Inference |
| GitHub stars | 1 587 | 95 811 ✓ |
| Stars, last 30 days | +0 | +3 167 ✓ |
| Stable releases, 12 months | 8 | 14 ✓ |
| Latest release | v7.9.0 · 28 Oct 2026 ✓ | v0.32.0 · 17 Oct 2026 |
| Setup | Moderate | Moderate |
| Official Docker image | No | Yes ✓ |
| License | MIT | Apache-2.0 |
| Main language | Python | Python |

## Which one should you pick?

vLLM scores 91/100 against 55/100 for Ouroboros, so it is the safer default.

vLLM ships more often: 14 stable releases in the past year, against 8 for Ouroboros.

vLLM is growing faster right now (+3 167 stars in 30 days).

## Details

- [Ouroboros](https://selfhost.directory/project/ouroboros) (markdown: https://selfhost.directory/project/ouroboros.md)
- [vLLM](https://selfhost.directory/project/vllm) (markdown: https://selfhost.directory/project/vllm.md)

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Source: https://selfhost.directory/compare/ouroboros-vs-vllm