Transformer LabvsUmami
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Transformer Lab | Umami | |
|---|---|---|
| Score | 61/100 | 85/100 |
| Rank in category | #12 of 25 in LLM Inference | #1 of 21 in Web analytics |
| GitHub stars | 5 200 | 39 754 |
| Stars, last 30 days | +3 | +773 |
| Stable releases, 12 months | 9 | 13 |
| Latest release | v0.40.1 · 19 Jun 2026 | v3.4.1 · 23 Oct 2026 |
| Setup | Moderate | Easy |
| Official Docker image | No | Yes |
| License | AGPL-3.0 | MIT |
| Main language | Python | Typescript |
Which one should you pick?
Umami scores 85/100 against 61/100 for Transformer Lab, so it is the safer default.
Umami ships more often: 13 stable releases in the past year, against 9 for Transformer Lab.
If you want the quickest setup, Umami is easier to run; Transformer Lab needs more configuration.
Umami is growing faster right now (+773 stars in 30 days).
Transformer Lab details →Umami details →