OperantvsvLLM
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Operant | vLLM | |
|---|---|---|
| Score | 39/100 | 91/100 |
| Rank in category | #170 of 209 in AI Agents | #3 of 25 in LLM Inference |
| GitHub stars | 447 | 95 789 |
| Stars, last 30 days | — | +3 237 |
| Stable releases, 12 months | 1 | 14 |
| Latest release | desktop-candidate-2026-09-28-08e65ea · 28 Sept 2026 | v0.32.0 · 17 Oct 2026 |
| Setup | Advanced | Moderate |
| Official Docker image | No | Yes |
| License | Other | Apache-2.0 |
| Main language | Python | Python |
Which one should you pick?
vLLM scores 91/100 against 39/100 for Operant, so it is the safer default.
vLLM ships more often: 14 stable releases in the past year, against 1 for Operant.
If you want the quickest setup, vLLM is easier to run; Operant needs more configuration.
vLLM is growing faster right now (+3 237 stars in 30 days).
Operant details →vLLM details →