What is GPT-SoVITS built with?

GPT-SoVITS is a Python repo built with FastAPI and starlette. It uses AI through ctranslate2, faster-whisper, funasr, ModelScope, onnxruntime-gpu, and 20 more, makes its content with av and ffmpeg-python, validates its data with Pydantic, deploys with psutil, and uses oss2 and Hugging Face. It has 50,422 written lines, with 2 test files.

Read on November 9, 2026, at commit 59c4468. Read it as markdown

Frontend

Interface 2

Backend

The base 2

Data 1

  • oss2

AI 25

13 more

Services 1

Support

Content 2

  • av
  • ffmpeg-python

Validation 1

Deploy 1

Tools 5

  • Numba
  • Setuptools
  • tensorboard
  • packaging1 file
  • tensorboardx

Other 20

  • NumPy12 files
  • tqdm8 files
  • pyyaml3 files
  • pandas1 file
  • SciPy1 file
  • hydra-core
  • omegaconf
  • opencv-python-headless
  • rapidfuzz
  • websockets
  • soundfile8 files
  • pypinyin6 files
8 more
  • resampy2 files
  • jamo1 file
  • jieba1 file
  • regex1 file
  • requests1 file
  • chardet
  • jaconv
  • kaldiio

Other repos with a similar stack

Ordered by how much of its stack they share with GPT-SoVITS, then by stars.

Frequently asked questions

What language is GPT-SoVITS written in?
GPT-SoVITS is written in Python, with 50,422 written lines.
What framework does GPT-SoVITS use?
GPT-SoVITS is built with FastAPI and starlette.
Does GPT-SoVITS use AI?
Yes. GPT-SoVITS uses AI through ctranslate2, faster-whisper, funasr, ModelScope, onnxruntime-gpu, openai-whisper, python-mecab-ko, safetensors, sentencepiece, tiktoken, tokenizers, torch-complex, triton-windows, umap-learn, transformers, librosa, torchaudio, peft, pytorch-lightning, onnxruntime, torchmetrics, x-transformers, einops, flash-attn, and g2p-en.
What services does GPT-SoVITS use?
GPT-SoVITS uses oss2 and Hugging Face.
Does GPT-SoVITS have tests?
Yes. GPT-SoVITS has 2 test files.
Which repos have a stack like GPT-SoVITS's?
The ones that share most of its stack:mudler/LocalAIray-project/rayhpcaitech/ColossalAI

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