llama.cppvsTransformer Lab
Two self-hosted LLM Inference projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| llama.cpp | Transformer Lab | |
|---|---|---|
| Score | 93/100 | 61/100 |
| Rank in category | #2 of 25 in LLM Inference | #12 of 25 in LLM Inference |
| GitHub stars | 132 669 | 5 200 |
| Stars, last 30 days | +3 312 | +3 |
| Stable releases, 12 months | 1461 | 9 |
| Latest release | b11972 · 28 Oct 2026 | v0.40.1 · 19 Jun 2026 |
| Setup | Moderate | Moderate |
| Official Docker image | Yes | No |
| License | MIT | AGPL-3.0 |
| Main language | C++ | Python |
Which one should you pick?
llama.cpp scores 93/100 against 61/100 for Transformer Lab, so it is the safer default.
llama.cpp ships more often: 1461 stable releases in the past year, against 9 for Transformer Lab.
llama.cpp is growing faster right now (+3 312 stars in 30 days).
llama.cpp details →Transformer Lab details →All LLM Inference projects →