SupersetvsTransformer Lab
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Superset | Transformer Lab | |
|---|---|---|
| Score | 88/100 | 61/100 |
| Rank in category | #1 of 15 in Business Intelligence | #12 of 25 in LLM Inference |
| GitHub stars | 75 348 | 5 200 |
| Stars, last 30 days | +447 | +3 |
| Stable releases, 12 months | 25 | 9 |
| Latest release | superset-helm-chart-0.22.8 · 9 Sept 2026 | v0.40.1 · 19 Jun 2026 |
| Setup | Advanced | Moderate |
| Official Docker image | Yes | No |
| License | Apache-2.0 | AGPL-3.0 |
| Main language | Python | Python |
Which one should you pick?
Superset scores 88/100 against 61/100 for Transformer Lab, so it is the safer default.
Superset ships more often: 25 stable releases in the past year, against 9 for Transformer Lab.
If you want the quickest setup, Transformer Lab is easier to run; Superset needs more configuration.
Superset is growing faster right now (+447 stars in 30 days).
Superset details →Transformer Lab details →
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