Source: https://seerepo.com/compare/FlashML-org/FreeToken/vs/hpcaitech/ColossalAI
Markdown source: https://seerepo.com/compare/FlashML-org/FreeToken/vs/hpcaitech/ColossalAI.md
Description: FreeToken and ColossalAI share 10 technologies: FastAPI, Hugging Face, OpenAI, uvicorn, triton, safetensors, einops, ModelScope, pillow, and Pydantic. Both are written in Python.

# FreeToken vs ColossalAI

FreeToken and ColossalAI share 10 technologies: FastAPI, Hugging Face, OpenAI, uvicorn, triton, safetensors, einops, ModelScope, pillow, and Pydantic. Both are written in Python.

- [FlashML-org/FreeToken](https://seerepo.com/r/FlashML-org/FreeToken): FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
- [hpcaitech/ColossalAI](https://seerepo.com/r/hpcaitech/ColossalAI): Making large AI models cheaper, faster and more accessible

## What they share and what sets them apart

- In common: FastAPI, Hugging Face, OpenAI, uvicorn, triton, safetensors, einops, ModelScope, pillow, Pydantic
- Only in FreeToken: pyzmq, prompt-toolkit, apache-tvm-ffi, partial-json-parser
- Only in ColossalAI: chromadb, anyio, Ray, Gradio, seaborn, matplotlib, Rich, SQLAlchemy, scikit-learn, sentence-transformers, tiktoken, torch, transformers, LangChain, peft, diffusers, flash-attn, datasets, timm, bitsandbytes, vLLM, accelerate, galore-torch, math-verify, sentencepiece, tokenizers, torchaudio, torchvision, jinja2, markdown-it-py, markupsafe, mdurl, pypdf, unstructured, jsonlines, annotated-types, pydantic-core, psutil

## Side by side

| | FreeToken | ColossalAI |
|---|---|---|
| Size | 159,806 lines written, 495 code files | 317,403 lines written, 974 code files |
| Who writes it | 0% of its commits signed by AI | 0.3% of its commits signed by AI. With Codex and Claude Code |
| Activity | Last push November 7, 2026, 211 commits, 16,785 stars | Last push November 6, 2026, 3,887 commits, 41,430 stars |
| Tests | 185 test files. 52.3% of its code files have a test that imports them | 505 test files. 1.1% of its code files have a test that imports them |

- 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, FreeToken or ColossalAI?

ColossalAI, with 317,403 lines written; FreeToken has 159,806.

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

### Which has more GitHub stars, FreeToken or ColossalAI?

ColossalAI, with 41,430 stars; FreeToken has 16,785.

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

### Which has more tests, FreeToken or ColossalAI?

ColossalAI, with 505 test files; FreeToken has 185.

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

### Which was updated more recently, FreeToken or ColossalAI?

FreeToken: its last push was on November 7, 2026, and ColossalAI's on November 6, 2026.

The proof: [FlashML-org/FreeToken's commits on GitHub](https://github.com/FlashML-org/FreeToken/commits)

### Which has more commits signed by AI, FreeToken or ColossalAI?

ColossalAI: an AI signed 0.3% of its commits, with Codex and Claude Code.

## Sources

- FlashML-org/FreeToken: Read on November 7, 2026, at commit 14119b8 (https://github.com/FlashML-org/FreeToken/tree/14119b8cbb8bd0a1e20410d5f1371f2412a6f338)
- hpcaitech/ColossalAI: Read on November 6, 2026, at commit da8f5c2 (https://github.com/hpcaitech/ColossalAI/tree/da8f5c2dd56f97d3d23d3d222b114e1a3d4710f5)

## 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.