llama.cppvsspeech-to-phrase
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| llama.cpp | speech-to-phrase | |
|---|---|---|
| Score | 93/100 | 46/100 |
| Rank in category | #2 of 25 in LLM Inference | #6 of 11 in Voice Assistants |
| GitHub stars | 132 674 | 348 |
| Stars, last 30 days | +3 317 | — |
| Stable releases, 12 months | 1461 | 2 |
| Latest release | b11972 · 28 Oct 2026 | v1.4.3 · 3 Apr 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 46/100 for speech-to-phrase, so it is the safer default.
llama.cpp ships more often: 1461 stable releases in the past year, against 2 for speech-to-phrase.
If you want the quickest setup, llama.cpp is easier to run; speech-to-phrase needs more configuration.
llama.cpp is growing faster right now (+3 317 stars in 30 days).
llama.cpp details →speech-to-phrase details →