# Orca vs vLLM

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

| | Orca | vLLM |
|---|---|---|
| Score | 91/100 | 91/100 |
| Rank in category | #1 of 209 in AI Agents | #3 of 25 in LLM Inference |
| GitHub stars | 108 446 ✓ | 95 748 |
| Stars, last 30 days | +8 539 ✓ | +3 196 |
| Stable releases, 12 months | 15 ✓ | 14 |
| Latest release | v1.4.243 · 28 Oct 2026 ✓ | v0.32.0 · 17 Oct 2026 |
| Setup | Easy ✓ | Moderate |
| Official Docker image | No | Yes ✓ |
| License | MIT | Apache-2.0 |
| Main language | Typescript | Python |

## Which one should you pick?

Orca and vLLM score the same (91/100), so the choice comes down to the details below.

Orca ships more often: 15 stable releases in the past year, against 14 for vLLM.

If you want the quickest setup, Orca is easier to run; vLLM needs more configuration.

Orca is growing faster right now (+8 539 stars in 30 days).

## Details

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

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