llama.cppvsmicroWakeWord-Trainer-Nvidia-Docker
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| llama.cpp | microWakeWord-Trainer-Nvidia-Docker | |
|---|---|---|
| Score | 93/100 | 45/100 |
| Rank in category | #2 of 25 in LLM Inference | #74 of 125 in AI |
| GitHub stars | 132 646 | 168 |
| Stars, last 30 days | +3 289 | — |
| Stable releases, 12 months | 1457 | 18 |
| Latest release | b11968 · 28 Oct 2026 | v47.3 · 23 Oct 2026 |
| Setup | Moderate | Advanced |
| Official Docker image | Yes | Yes |
| License | MIT | — |
| Main language | C++ | Python |
Which one should you pick?
llama.cpp scores 93/100 against 45/100 for microWakeWord-Trainer-Nvidia-Docker, so it is the safer default.
llama.cpp ships more often: 1457 stable releases in the past year, against 18 for microWakeWord-Trainer-Nvidia-Docker.
If you want the quickest setup, llama.cpp is easier to run; microWakeWord-Trainer-Nvidia-Docker needs more configuration.
llama.cpp is growing faster right now (+3 289 stars in 30 days).
llama.cpp details →microWakeWord-Trainer-Nvidia-Docker details →