Transformer LabvsvLLM
Two self-hosted LLM Inference projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Transformer Lab | vLLM | |
|---|---|---|
| Score | 61/100 | 91/100 |
| Rank in category | #12 of 25 in LLM Inference | #3 of 25 in LLM Inference |
| GitHub stars | 5 200 | 95 782 |
| Stars, last 30 days | +3 | +3 230 |
| Stable releases, 12 months | 9 | 14 |
| Latest release | v0.40.1 · 19 Jun 2026 | v0.32.0 · 17 Oct 2026 |
| Setup | Moderate | Moderate |
| Official Docker image | No | Yes |
| License | AGPL-3.0 | Apache-2.0 |
| Main language | Python | Python |
Which one should you pick?
vLLM scores 91/100 against 61/100 for Transformer Lab, so it is the safer default.
vLLM ships more often: 14 stable releases in the past year, against 9 for Transformer Lab.
vLLM is growing faster right now (+3 230 stars in 30 days).
Transformer Lab details →vLLM details →All LLM Inference projects →