OpenStreetMapvsTransformer Lab
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| OpenStreetMap | Transformer Lab | |
|---|---|---|
| Score | 66/100 | 61/100 |
| Rank in category | #4 of 12 in Maps | #12 of 25 in LLM Inference |
| GitHub stars | 2 868 | 5 200 |
| Stars, last 30 days | +34 | +3 |
| Stable releases, 12 months | 0 | 9 |
| Latest release | — | v0.40.1 · 19 Jun 2026 |
| Setup | Advanced | Moderate |
| Official Docker image | No | No |
| License | GPL-2.0 | AGPL-3.0 |
| Main language | Ruby | Python |
Which one should you pick?
OpenStreetMap scores 66/100 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 OpenStreetMap.
If you want the quickest setup, Transformer Lab is easier to run; OpenStreetMap needs more configuration.
OpenStreetMap is growing faster right now (+34 stars in 30 days).
OpenStreetMap details →Transformer Lab details →
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