sglangvsTransformer Lab
Two self-hosted LLM Inference projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| sglang | Transformer Lab | |
|---|---|---|
| Score | 86/100 | 61/100 |
| Rank in category | #4 of 25 in LLM Inference | #12 of 25 in LLM Inference |
| GitHub stars | 38 320 | 5 200 |
| Stars, last 30 days | +1 938 | +3 |
| Stable releases, 12 months | 17 | 9 |
| Latest release | v0.5.22 · 15 Oct 2026 | v0.40.1 · 19 Jun 2026 |
| Setup | Advanced | Moderate |
| Official Docker image | Yes | No |
| License | Apache-2.0 | AGPL-3.0 |
| Main language | Python | Python |
Which one should you pick?
sglang scores 86/100 against 61/100 for Transformer Lab, so it is the safer default.
sglang ships more often: 17 stable releases in the past year, against 9 for Transformer Lab.
If you want the quickest setup, Transformer Lab is easier to run; sglang needs more configuration.
sglang is growing faster right now (+1 938 stars in 30 days).
sglang details →Transformer Lab details →All LLM Inference projects →