llama.cppvsTrinity
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| llama.cpp | Trinity | |
|---|---|---|
| Score | 93/100 | 57/100 |
| Rank in category | #2 of 25 in LLM Inference | #60 of 209 in AI Agents |
| GitHub stars | 132 663 | 711 |
| Stars, last 30 days | +3 306 | — |
| Stable releases, 12 months | 1458 | 4 |
| Latest release | b11969 · 28 Oct 2026 | v1.0.0 · 20 Oct 2026 |
| Setup | Moderate | Advanced |
| Official Docker image | Yes | Yes |
| License | MIT | Apache-2.0 |
| Main language | C++ | Python |
Which one should you pick?
llama.cpp scores 93/100 against 57/100 for Trinity, so it is the safer default.
llama.cpp ships more often: 1458 stable releases in the past year, against 4 for Trinity.
If you want the quickest setup, llama.cpp is easier to run; Trinity needs more configuration.
llama.cpp is growing faster right now (+3 306 stars in 30 days).
llama.cpp details →Trinity details →