hadoopvsTransformer Lab
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| hadoop | Transformer Lab | |
|---|---|---|
| Score | 76/100 | 61/100 |
| Rank in category | #1 of 1 in Distributed Systems | #12 of 25 in LLM Inference |
| GitHub stars | 15 702 | 5 200 |
| Stars, last 30 days | +33 | +3 |
| Stable releases, 12 months | 0 | 9 |
| Latest release | — | v0.40.1 · 19 Jun 2026 |
| Setup | Advanced | Moderate |
| Official Docker image | No | No |
| License | Apache-2.0 | AGPL-3.0 |
| Main language | Java | Python |
Which one should you pick?
hadoop scores 76/100 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 0 for hadoop.
If you want the quickest setup, Transformer Lab is easier to run; hadoop needs more configuration.
hadoop is growing faster right now (+33 stars in 30 days).
hadoop details →Transformer Lab details →