DatasettevsTransformer Lab
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Datasette | Transformer Lab | |
|---|---|---|
| Score | 72/100 | 61/100 |
| Rank in category | #4 of 10 in Data Management | #12 of 25 in LLM Inference |
| GitHub stars | 11 525 | 5 200 |
| Stars, last 30 days | +46 | +3 |
| Stable releases, 12 months | 21 | 9 |
| Latest release | 1.0a41 · 24 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 | Python | Python |
Which one should you pick?
Datasette scores 72/100 against 61/100 for Transformer Lab, so it is the safer default.
Datasette ships more often: 21 stable releases in the past year, against 9 for Transformer Lab.
If you want the quickest setup, Datasette is easier to run; Transformer Lab needs more configuration.
Datasette is growing faster right now (+46 stars in 30 days).
Datasette details →Transformer Lab details →
Swap a project
Keep Datasette, compare it with
Keep Transformer Lab, compare it with