Source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/hpcaitech/ColossalAI
Markdown source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/hpcaitech/ColossalAI.md
Description: hello-agents and ColossalAI share 26 technologies: FastAPI, uvicorn, chromadb, OpenAI, Hugging Face, anyio, Gradio, matplotlib, Rich, SQLAlchemy, accelerate, peft, safetensors, tokenizers, torch, transformers, scikit-learn, sentence-transformers, tiktoken, datasets, pypdf, pillow, jinja2, annotated-types, pydantic-core, and Pydantic. Both are written in Python.

# hello-agents vs ColossalAI

hello-agents and ColossalAI share 26 technologies: FastAPI, uvicorn, chromadb, OpenAI, Hugging Face, anyio, Gradio, matplotlib, Rich, SQLAlchemy, accelerate, peft, safetensors, tokenizers, torch, transformers, scikit-learn, sentence-transformers, tiktoken, datasets, pypdf, pillow, jinja2, annotated-types, pydantic-core, and Pydantic. Both are written in Python.

- [datawhalechina/hello-agents](https://seerepo.com/r/datawhalechina/hello-agents): 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
- [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, uvicorn, chromadb, OpenAI, Hugging Face, anyio, Gradio, matplotlib, Rich, SQLAlchemy, accelerate, peft, safetensors, tokenizers, torch, transformers, scikit-learn, sentence-transformers, tiktoken, datasets, pypdf, pillow, jinja2, annotated-types, pydantic-core, Pydantic
- Only in hello-agents: aiosqlite, asyncpg, psycopg2-binary, Postgres, Redis, SQLite, oracledb, pymilvus, Qdrant, Flask, fastmcp, starlette, AIOHTTP, Streamlit, Vite, Vue, vue-router, React, react-router-dom, cycler, fonttools, contourpy, Plotly, alembic, bcrypt, MCP, onnxruntime, tavily-python, langchain-openai, LangGraph, paddlenlp, rank-bm25, spaCy, lxml, markdown, openpyxl, pdfminer.six, python-docx, reportlab, xlrd, pdfplumber, feedparser, pymupdf, beautifulsoup4, email-validator, jsonschema, OpenTelemetry, opentelemetry-exporter-otlp-proto-grpc, loguru, D3, katex, Tailwind CSS, markdown-it, vue-flow, Chart.js, vue-chartjs, highlight.js, dompurify, marked, react-markdown, Element, echarts, Leaflet, Mermaid, html2canvas, jspdf
- Only in ColossalAI: Ray, seaborn, ModelScope, LangChain, triton, diffusers, flash-attn, timm, bitsandbytes, vLLM, einops, galore-torch, math-verify, sentencepiece, torchaudio, torchvision, markdown-it-py, markupsafe, mdurl, unstructured, jsonlines, psutil

## Side by side

| | hello-agents | ColossalAI |
|---|---|---|
| Size | 226,661 lines written, 1,212 code files | 317,403 lines written, 974 code files |
| Who writes it | 2.4% of its commits signed by AI. With Codex, Cursor, and Claude Code | 0.3% of its commits signed by AI. With Codex and Claude Code |
| Activity | Last push October 13, 2026, 660 commits, 86,039 stars | Last push November 6, 2026, 3,887 commits, 41,430 stars |
| Tests | 97 test files. 6.9% 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, hello-agents or ColossalAI?

ColossalAI, with 317,403 lines written; hello-agents has 226,661.

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

### Which has more GitHub stars, hello-agents or ColossalAI?

hello-agents, with 86,039 stars; ColossalAI has 41,430.

The proof: [datawhalechina/hello-agents on GitHub](https://github.com/datawhalechina/hello-agents)

### Which has more tests, hello-agents or ColossalAI?

ColossalAI, with 505 test files; hello-agents has 97.

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

### Which was updated more recently, hello-agents or ColossalAI?

ColossalAI: its last push was on November 6, 2026, and hello-agents's on October 13, 2026.

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

### Which has more commits signed by AI, hello-agents or ColossalAI?

hello-agents: an AI signed 2.4% of its commits, with Codex, Cursor, and Claude Code; in ColossalAI, 0.3%.

## Sources

- datawhalechina/hello-agents: Read on November 4, 2026, at commit 36f583c (https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)
- 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.