label-studiovsTransformer Lab
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| label-studio | Transformer Lab | |
|---|---|---|
| Score | 80/100 | 61/100 |
| Rank in category | #1 of 3 in Data Collection | #12 of 25 in LLM Inference |
| GitHub stars | 28 576 | 5 200 |
| Stars, last 30 days | +234 | +3 |
| Stable releases, 12 months | 4 | 9 |
| Latest release | 1.23.2 · 29 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 | Typescript | Python |
Which one should you pick?
label-studio scores 80/100 against 61/100 for Transformer Lab, so it is the safer default.
Transformer Lab ships more often: 9 stable releases in the past year, against 4 for label-studio.
If you want the quickest setup, label-studio is easier to run; Transformer Lab needs more configuration.
label-studio is growing faster right now (+234 stars in 30 days).
label-studio details →Transformer Lab details →
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