CalibrevsTransformer Lab
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Calibre | Transformer Lab | |
|---|---|---|
| Score | 83/100 | 61/100 |
| Rank in category | #1 of 19 in Ebook Management | #12 of 25 in LLM Inference |
| GitHub stars | 26 269 | 5 199 |
| Stars, last 30 days | +260 | +2 |
| Stable releases, 12 months | 18 | 9 |
| Latest release | v9.17.0 · 23 Oct 2026 | v0.40.1 · 19 Jun 2026 |
| Setup | Easy | Moderate |
| Official Docker image | No | No |
| License | GPL-3.0 | AGPL-3.0 |
| Main language | Python | Python |
Which one should you pick?
Calibre scores 83/100 against 61/100 for Transformer Lab, so it is the safer default.
Calibre ships more often: 18 stable releases in the past year, against 9 for Transformer Lab.
If you want the quickest setup, Calibre is easier to run; Transformer Lab needs more configuration.
Calibre is growing faster right now (+260 stars in 30 days).
Calibre details →Transformer Lab details →
Swap a project
Keep Calibre, compare it with
Keep Transformer Lab, compare it with