Source: https://seerepo.com/r/KittenML/KittenTTS/built
Markdown source: https://seerepo.com/r/KittenML/KittenTTS/built.md
Description: KittenTTS is a Python repo built with FastAPI. It uses AI through NVIDIA, nvidia-cudnn-cu12, onnxruntime-gpu, torch, safetensors, and 8 more.

# What is KittenTTS built with?

KittenTTS is a Python repo built with FastAPI. It uses AI through NVIDIA, nvidia-cudnn-cu12, onnxruntime-gpu, torch, safetensors, and 8 more and uses Hugging Face. It has 16,429 written lines, with 9 test files.

Read on November 7, 2026, at commit b9517e3.

Repository: https://github.com/KittenML/KittenTTS

## Backend

### The base

- **[FastAPI](https://seerepo.com/uses/fastapi)**

### AI

- **NVIDIA**
- **nvidia-cudnn-cu12**
- **onnxruntime-gpu**
- **[torch](https://seerepo.com/uses/torch)**: 15 files
- **[safetensors](https://seerepo.com/uses/safetensors)**: 6 files
- **[transformers](https://seerepo.com/uses/transformers)**: 5 files
- **[librosa](https://seerepo.com/uses/librosa)**: 3 files
- **[diffusers](https://seerepo.com/uses/diffusers)**: 2 files
- **[einops](https://seerepo.com/uses/einops)**: 2 files
- **[torchaudio](https://seerepo.com/uses/torchaudio)**: 2 files
- **[onnxruntime](https://seerepo.com/uses/onnxruntime)**: 1 file
- **phonemizer**: 1 file
- **s3tokenizer**: 1 file

### Services

- **[Hugging Face](https://seerepo.com/uses/hugging-face)**: 4 files · [kittenml/get_model.py, line 9](https://github.com/KittenML/KittenTTS/blob/b9517e3050adced306219f8bea5f117d87ecfaa7/kittenml/get_model.py#L9)

## Support

### Other

- **brotli**
- **hydra-core**
- **pyloudnorm**
- **resemble-perth**
- **NumPy**: 13 files
- **soundfile**: 12 files
- **omegaconf**: 2 files
- **espeakng-loader**: 1 file
- **SciPy**: 1 file

## Other repos with a similar stack

- [mudler/LocalAI](https://seerepo.com/r/mudler/LocalAI/built): FastAPI, Hugging Face, onnxruntime-gpu, torch, safetensors, transformers, librosa, diffusers, einops, torchaudio, onnxruntime, phonemizer, s3tokenizer · [Compare](https://seerepo.com/compare/KittenML/KittenTTS/vs/mudler/LocalAI)
- [ray-project/ray](https://seerepo.com/r/ray-project/ray/built): FastAPI, Hugging Face, torch, safetensors, transformers, diffusers, einops, torchaudio, onnxruntime · [Compare](https://seerepo.com/compare/KittenML/KittenTTS/vs/ray-project/ray)
- [gradio-app/gradio](https://seerepo.com/r/gradio-app/gradio/built): FastAPI, Hugging Face, onnxruntime-gpu, torch, safetensors, transformers, librosa, diffusers, torchaudio · [Compare](https://seerepo.com/compare/gradio-app/gradio/vs/KittenML/KittenTTS)
- [vllm-project/vllm](https://seerepo.com/r/vllm-project/vllm/built): FastAPI, Hugging Face, NVIDIA, torch, safetensors, transformers, einops, torchaudio · [Compare](https://seerepo.com/compare/KittenML/KittenTTS/vs/vllm-project/vllm)
- [unslothai/unsloth](https://seerepo.com/r/unslothai/unsloth/built): FastAPI, Hugging Face, torch, safetensors, transformers, librosa, diffusers, einops · [Compare](https://seerepo.com/compare/KittenML/KittenTTS/vs/unslothai/unsloth)
- [jamiepine/voicebox](https://seerepo.com/r/jamiepine/voicebox/built): FastAPI, Hugging Face, torch, transformers, librosa, diffusers, torchaudio, s3tokenizer · [Compare](https://seerepo.com/compare/jamiepine/voicebox/vs/KittenML/KittenTTS)

## Frequently asked questions

### What language is KittenTTS written in?

KittenTTS is written in Python, with 16,429 written lines.

### What framework does KittenTTS use?

KittenTTS is built with FastAPI.

### Does KittenTTS use AI?

Yes. KittenTTS uses AI through NVIDIA, nvidia-cudnn-cu12, onnxruntime-gpu, torch, safetensors, transformers, librosa, diffusers, einops, torchaudio, onnxruntime, phonemizer, and s3tokenizer.

### What services does KittenTTS use?

KittenTTS uses Hugging Face.

The proof: [kittenml/get_model.py, line 9](https://github.com/KittenML/KittenTTS/blob/b9517e3050adced306219f8bea5f117d87ecfaa7/kittenml/get_model.py#L9)

### Does KittenTTS have tests?

Yes. KittenTTS has 9 test files.

### Which repos have a stack like KittenTTS's?

The ones that share most of its stack: mudler/LocalAI, ray-project/ray, and gradio-app/gradio.

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.