deer-flowvsTransformer Lab
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| deer-flow | Transformer Lab | |
|---|---|---|
| Score | 86/100 | 61/100 |
| Rank in category | #5 of 209 in AI Agents | #12 of 25 in LLM Inference |
| GitHub stars | 84 589 | 5 200 |
| Stars, last 30 days | +1 668 | +3 |
| Stable releases, 12 months | 2 | 9 |
| Latest release | v2.1.0 · 24 Sept 2026 | v0.40.1 · 19 Jun 2026 |
| Setup | Advanced | Moderate |
| Official Docker image | No | No |
| License | MIT | AGPL-3.0 |
| Main language | Python | Python |
Which one should you pick?
deer-flow scores 86/100 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 2 for deer-flow.
If you want the quickest setup, Transformer Lab is easier to run; deer-flow needs more configuration.
deer-flow is growing faster right now (+1 668 stars in 30 days).
deer-flow details →Transformer Lab details →