# Transformer Lab vs vLLM

> Two self-hosted [LLM Inference projects](https://selfhost.directory/llm-inference), 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).

## Details

- [Transformer Lab](https://selfhost.directory/project/transformerlab-app) (markdown: https://selfhost.directory/project/transformerlab-app.md)
- [vLLM](https://selfhost.directory/project/vllm) (markdown: https://selfhost.directory/project/vllm.md)

---
Source: https://selfhost.directory/compare/transformerlab-app-vs-vllm