Jupyter NotebookvsTransformer Lab
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Jupyter Notebook | Transformer Lab | |
|---|---|---|
| Score | 59/100 | 61/100 |
| Rank in category | #45 of 166 in Developer Tools | #12 of 25 in LLM Inference |
| GitHub stars | 13 460 | 5 200 |
| Stars, last 30 days | +103 | +3 |
| Stable releases, 12 months | 8 | 9 |
| Latest release | v7.5.8 · 5 Oct 2026 | v0.40.1 · 19 Jun 2026 |
| Setup | Easy | Moderate |
| Official Docker image | No | No |
| License | BSD-3-Clause | AGPL-3.0 |
| Main language | Jupyter Notebook | Python |
Which one should you pick?
Transformer Lab scores 61/100 against 59/100 for Jupyter Notebook, so it is the safer default.
Transformer Lab ships more often: 9 stable releases in the past year, against 8 for Jupyter Notebook.
If you want the quickest setup, Jupyter Notebook is easier to run; Transformer Lab needs more configuration.
Jupyter Notebook is growing faster right now (+103 stars in 30 days).
Jupyter Notebook details →Transformer Lab details →