OrcavsTransformer Lab
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Orca | Transformer Lab | |
|---|---|---|
| Score | 91/100 | 61/100 |
| Rank in category | #1 of 209 in AI Agents | #12 of 25 in LLM Inference |
| GitHub stars | 108 898 | 5 200 |
| Stars, last 30 days | +8 991 | +3 |
| Stable releases, 12 months | 15 | 9 |
| Latest release | v1.4.243 · 28 Oct 2026 | v0.40.1 · 19 Jun 2026 |
| Setup | Easy | Moderate |
| Official Docker image | No | No |
| License | MIT | AGPL-3.0 |
| Main language | Typescript | Python |
Which one should you pick?
Orca scores 91/100 against 61/100 for Transformer Lab, so it is the safer default.
Orca ships more often: 15 stable releases in the past year, against 9 for Transformer Lab.
If you want the quickest setup, Orca is easier to run; Transformer Lab needs more configuration.
Orca is growing faster right now (+8 991 stars in 30 days).
Orca details →Transformer Lab details →
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