# llama.cpp vs microWakeWord-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).

## Details

- [llama.cpp](https://selfhost.directory/project/llamacpp) (markdown: https://selfhost.directory/project/llamacpp.md)
- [microWakeWord-Trainer-Nvidia-Docker](https://selfhost.directory/project/microwakeword-trainer-nvidia-docker) (markdown: https://selfhost.directory/project/microwakeword-trainer-nvidia-docker.md)

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Source: https://selfhost.directory/compare/llamacpp-vs-microwakeword-trainer-nvidia-docker