LivebookvsTransformer Lab
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Livebook | Transformer Lab | |
|---|---|---|
| Score | 69/100 | 61/100 |
| Rank in category | #2 of 3 in Data Science | #12 of 25 in LLM Inference |
| GitHub stars | 5 897 | 5 200 |
| Stars, last 30 days | +27 | +3 |
| Stable releases, 12 months | 12 | 9 |
| Latest release | v0.19.10 · 17 Sept 2026 | v0.40.1 · 19 Jun 2026 |
| Setup | Easy | Moderate |
| Official Docker image | Yes | No |
| License | Apache-2.0 | AGPL-3.0 |
| Main language | Elixir | Python |
Which one should you pick?
Livebook scores 69/100 against 61/100 for Transformer Lab, so it is the safer default.
Livebook ships more often: 12 stable releases in the past year, against 9 for Transformer Lab.
If you want the quickest setup, Livebook is easier to run; Transformer Lab needs more configuration.
Livebook is growing faster right now (+27 stars in 30 days).
Livebook details →Transformer Lab details →
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