Transformer LabvsTube Archivist
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Transformer Lab | Tube Archivist | |
|---|---|---|
| Score | 61/100 | 72/100 |
| Rank in category | #12 of 25 in LLM Inference | #7 of 118 in Media Server |
| GitHub stars | 5 199 | 8 552 |
| Stars, last 30 days | +2 | +83 |
| Stable releases, 12 months | 9 | 6 |
| Latest release | v0.40.1 · 19 Jun 2026 | v0.6.0 · 25 Oct 2026 |
| Setup | Moderate | Advanced |
| Official Docker image | No | Yes |
| License | AGPL-3.0 | GPL-3.0 |
| Main language | Python | Python |
Which one should you pick?
Tube Archivist scores 72/100 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 6 for Tube Archivist.
If you want the quickest setup, Transformer Lab is easier to run; Tube Archivist needs more configuration.
Tube Archivist is growing faster right now (+83 stars in 30 days).
Transformer Lab details →Tube Archivist details →