# sgl-project/sglang-omni

SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.

Repository: https://github.com/sgl-project/sglang-omni
Canonical: https://ross.abutalabs.com/products/sglang-omni
Homepage: https://sgl-project.github.io/sglang-omni/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: asr, audio-generation, cuda, inference, model-serving, multimodal, openai-api, pytorch, sglang, tts, distributed-inference, music-generation, speech-recognition, streaming, text-to-speech
Last push: 2026-09-03T01:46:51+00:00

## Health v2 (maintenance only)
Score: 83/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 100, longevity 17
- inputs: {"age_days": 238, "days_push": 0, "days_rel": 1, "gap_med": 9.0, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1069, forks 421 (observed 2026-09-03T02:15:17.808395+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- sgl-project/sglang-omni (main) score 83

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:17.808395+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Data as of 2026-08-30T08:39:29.467469+00:00.