Source: https://seerepo.com/compare/hpcaitech/ColossalAI/vs/SWivid/F5-TTS
Markdown source: https://seerepo.com/compare/hpcaitech/ColossalAI/vs/SWivid/F5-TTS.md
Description: ColossalAI and F5-TTS share 9 technologies: Gradio, matplotlib, torch, transformers, datasets, safetensors, bitsandbytes, accelerate, and torchaudio. Both are written in Python.

# ColossalAI vs F5-TTS

ColossalAI and F5-TTS share 9 technologies: Gradio, matplotlib, torch, transformers, datasets, safetensors, bitsandbytes, accelerate, and torchaudio. Both are written in Python.

- [hpcaitech/ColossalAI](https://seerepo.com/r/hpcaitech/ColossalAI): Making large AI models cheaper, faster and more accessible
- [SWivid/F5-TTS](https://seerepo.com/r/SWivid/F5-TTS): Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"

## What they share and what sets them apart

- In common: Gradio, matplotlib, torch, transformers, datasets, safetensors, bitsandbytes, accelerate, torchaudio
- Only in ColossalAI: FastAPI, uvicorn, chromadb, Hugging Face, anyio, Ray, seaborn, Rich, SQLAlchemy, ModelScope, OpenAI, scikit-learn, sentence-transformers, tiktoken, LangChain, triton, peft, diffusers, flash-attn, timm, vLLM, einops, galore-torch, math-verify, sentencepiece, tokenizers, torchvision, jinja2, markdown-it-py, markupsafe, mdurl, pypdf, unstructured, pillow, jsonlines, annotated-types, pydantic-core, Pydantic, psutil
- Only in F5-TTS: transformers-stream-generator, x-transformers, librosa, vocos, torchcodec

## Side by side

| | ColossalAI | F5-TTS |
|---|---|---|
| Size | 317,403 lines written, 974 code files | 13,839 lines written, 34 code files |
| Who writes it | 0.3% of its commits signed by AI. With Codex and Claude Code | 0.2% of its commits signed by AI. With Claude Code |
| Activity | Last push November 6, 2026, 3,887 commits, 41,430 stars | Last push November 3, 2026, 574 commits, 15,531 stars |
| Tests | 505 test files. 1.1% of its code files have a test that imports them | 0 test files |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, ColossalAI or F5-TTS?

ColossalAI, with 317,403 lines written; F5-TTS has 13,839.

The proof: [hpcaitech/ColossalAI's code at commit da8f5c2](https://github.com/hpcaitech/ColossalAI/tree/da8f5c2dd56f97d3d23d3d222b114e1a3d4710f5)

### Which has more GitHub stars, ColossalAI or F5-TTS?

ColossalAI, with 41,430 stars; F5-TTS has 15,531.

The proof: [hpcaitech/ColossalAI on GitHub](https://github.com/hpcaitech/ColossalAI)

### Which has more tests, ColossalAI or F5-TTS?

ColossalAI, with 505 test files.

The proof: [hpcaitech/ColossalAI's code at commit da8f5c2](https://github.com/hpcaitech/ColossalAI/tree/da8f5c2dd56f97d3d23d3d222b114e1a3d4710f5)

### Which was updated more recently, ColossalAI or F5-TTS?

ColossalAI: its last push was on November 6, 2026, and F5-TTS's on November 3, 2026.

The proof: [hpcaitech/ColossalAI's commits on GitHub](https://github.com/hpcaitech/ColossalAI/commits)

### Which has more commits signed by AI, ColossalAI or F5-TTS?

ColossalAI: an AI signed 0.3% of its commits, with Codex and Claude Code; in F5-TTS, 0.2%.

## Sources

- hpcaitech/ColossalAI: Read on November 6, 2026, at commit da8f5c2 (https://github.com/hpcaitech/ColossalAI/tree/da8f5c2dd56f97d3d23d3d222b114e1a3d4710f5)
- SWivid/F5-TTS: Read on November 8, 2026, at commit 600e5fd (https://github.com/SWivid/F5-TTS/tree/600e5fdfbf319f84735557aca80a7aaf60d487e6)

## 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.