speech-to-phrasevsvLLM
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| speech-to-phrase | vLLM | |
|---|---|---|
| Score | 46/100 | 91/100 |
| Rank in category | #6 of 11 in Voice Assistants | #3 of 25 in LLM Inference |
| GitHub stars | 348 | 95 782 |
| Stars, last 30 days | — | +3 230 |
| Stable releases, 12 months | 2 | 14 |
| Latest release | v1.4.3 · 3 Apr 2026 | v0.32.0 · 17 Oct 2026 |
| Setup | Advanced | Moderate |
| Official Docker image | Yes | Yes |
| License | Apache-2.0 | Apache-2.0 |
| Main language | Python | Python |
Which one should you pick?
vLLM scores 91/100 against 46/100 for speech-to-phrase, so it is the safer default.
vLLM ships more often: 14 stable releases in the past year, against 2 for speech-to-phrase.
If you want the quickest setup, vLLM is easier to run; speech-to-phrase needs more configuration.
vLLM is growing faster right now (+3 230 stars in 30 days).
speech-to-phrase details →vLLM details →
Swap a project
Keep speech-to-phrase, compare it with
Keep vLLM, compare it with