llama.cppvspiclaw
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| llama.cpp | piclaw | |
|---|---|---|
| Score | 93/100 | 53/100 |
| Rank in category | #2 of 25 in LLM Inference | #26 of 120 in AI Assistant |
| GitHub stars | 132 679 | 885 |
| Stars, last 30 days | +3 224 | +0 |
| Stable releases, 12 months | 1462 | 27 |
| Latest release | b11976 · 29 Oct 2026 | v3.3.4 · 15 Oct 2026 |
| Setup | Moderate | Easy |
| Official Docker image | Yes | Yes |
| License | MIT | MIT |
| Main language | C++ | Typescript |
Which one should you pick?
llama.cpp scores 93/100 against 53/100 for piclaw, so it is the safer default.
llama.cpp ships more often: 1462 stable releases in the past year, against 27 for piclaw.
If you want the quickest setup, piclaw is easier to run; llama.cpp needs more configuration.
llama.cpp is growing faster right now (+3 224 stars in 30 days).
llama.cpp details →piclaw details →