OuroborosvsvLLM
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 | 95 789 |
| Stars, last 30 days | — | +3 237 |
| 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 (+3 237 stars in 30 days).
Ouroboros details →vLLM details →