Source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/pandas-dev/pandas
Markdown source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/pandas-dev/pandas.md
Description: hello-agents and pandas share 11 technologies: psycopg2-binary, Postgres, matplotlib, SQLAlchemy, lxml, markdown, openpyxl, xlrd, feedparser, beautifulsoup4, and jinja2. Both are written in Python.

# hello-agents vs pandas

hello-agents and pandas share 11 technologies: psycopg2-binary, Postgres, matplotlib, SQLAlchemy, lxml, markdown, openpyxl, xlrd, feedparser, beautifulsoup4, and jinja2. 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
- [pandas-dev/pandas](https://seerepo.com/r/pandas-dev/pandas): Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

## What they share and what sets them apart

- In common: psycopg2-binary, Postgres, matplotlib, SQLAlchemy, lxml, markdown, openpyxl, xlrd, feedparser, beautifulsoup4, jinja2
- Only in hello-agents: FastAPI, uvicorn, aiosqlite, asyncpg, chromadb, Redis, SQLite, oracledb, pymilvus, OpenAI, Qdrant, Hugging Face, Flask, fastmcp, starlette, anyio, AIOHTTP, Streamlit, Vite, Vue, vue-router, React, react-router-dom, cycler, fonttools, contourpy, Plotly, Gradio, Rich, alembic, bcrypt, accelerate, MCP, onnxruntime, peft, safetensors, tavily-python, tokenizers, torch, transformers, scikit-learn, sentence-transformers, tiktoken, datasets, langchain-openai, LangGraph, paddlenlp, rank-bm25, spaCy, pdfminer.six, pypdf, python-docx, reportlab, pdfplumber, pillow, pymupdf, annotated-types, email-validator, pydantic-core, Pydantic, 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 pandas: gcsfs, pickleshare, pyiceberg, pymysql, pyarrow, fastparquet, s3fs, ipywidgets, seaborn, html5lib, nbformat, odfpy, nbconvert, python-calamine, pyxlsb, xlsxwriter

## Side by side

| | hello-agents | pandas |
|---|---|---|
| Size | 226,661 lines written, 1,212 code files | 758,101 lines written, 297 code files |
| Who writes it | 2.4% of its commits signed by AI. With Codex, Cursor, and Claude Code | 4.2% of its commits signed by AI. With Claude Code, GitHub Copilot, and Devin |
| Activity | Last push October 13, 2026, 660 commits, 86,039 stars | Last push November 5, 2026, 36,566 commits, 50,368 stars |
| Tests | 97 test files. 6.9% of its code files have a test that imports them | 1,263 test files. 56.6% 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 pandas?

pandas, with 758,101 lines written; hello-agents has 226,661.

The proof: [pandas-dev/pandas's code at commit 249a3e4](https://github.com/pandas-dev/pandas/tree/249a3e4845e574629d8f8aa6f1461fb47b02b02d)

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

hello-agents, with 86,039 stars; pandas has 50,368.

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

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

pandas, with 1,263 test files; hello-agents has 97.

The proof: [pandas-dev/pandas's code at commit 249a3e4](https://github.com/pandas-dev/pandas/tree/249a3e4845e574629d8f8aa6f1461fb47b02b02d)

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

pandas: its last push was on November 5, 2026, and hello-agents's on October 13, 2026.

The proof: [pandas-dev/pandas's commits on GitHub](https://github.com/pandas-dev/pandas/commits)

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

pandas: an AI signed 4.2% of its commits, with Claude Code, GitHub Copilot, and Devin; in hello-agents, 2.4%.

The proof: [the commits each tool signed in pandas-dev/pandas](https://seerepo.com/r/pandas-dev/pandas/ai)

## Sources

- datawhalechina/hello-agents: Read on November 4, 2026, at commit 36f583c (https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)
- pandas-dev/pandas: Read on November 5, 2026, at commit 249a3e4 (https://github.com/pandas-dev/pandas/tree/249a3e4845e574629d8f8aa6f1461fb47b02b02d)

## 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.