Source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/microsoft/data-formulator
Markdown source: https://seerepo.com/compare/datawhalechina/hello-agents/vs/microsoft/data-formulator.md
Description: hello-agents and data-formulator share 17 technologies: psycopg2-binary, Postgres, OpenAI, Flask, AIOHTTP, Vite, React, react-router-dom, scikit-learn, lxml, openpyxl, xlrd, beautifulsoup4, D3, katex, react-markdown, and html2canvas. hello-agents is written in Python and data-formulator in TypeScript.

# hello-agents vs data-formulator

hello-agents and data-formulator share 17 technologies: psycopg2-binary, Postgres, OpenAI, Flask, AIOHTTP, Vite, React, react-router-dom, scikit-learn, lxml, openpyxl, xlrd, beautifulsoup4, D3, katex, react-markdown, and html2canvas. hello-agents is written in Python and data-formulator in TypeScript.

- [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
- [microsoft/data-formulator](https://seerepo.com/r/microsoft/data-formulator): 🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.

## What they share and what sets them apart

- In common: psycopg2-binary, Postgres, OpenAI, Flask, AIOHTTP, Vite, React, react-router-dom, scikit-learn, lxml, openpyxl, xlrd, beautifulsoup4, D3, katex, react-markdown, html2canvas
- Only in hello-agents: FastAPI, uvicorn, aiosqlite, asyncpg, chromadb, Redis, SQLite, oracledb, pymilvus, Qdrant, Hugging Face, fastmcp, starlette, anyio, Streamlit, Vue, vue-router, cycler, fonttools, contourpy, Plotly, Gradio, matplotlib, Rich, alembic, SQLAlchemy, bcrypt, accelerate, MCP, onnxruntime, peft, safetensors, tavily-python, tokenizers, torch, transformers, sentence-transformers, tiktoken, datasets, langchain-openai, LangGraph, paddlenlp, rank-bm25, spaCy, markdown, pdfminer.six, pypdf, python-docx, reportlab, pdfplumber, pillow, feedparser, pymupdf, jinja2, annotated-types, email-validator, pydantic-core, Pydantic, jsonschema, OpenTelemetry, opentelemetry-exporter-otlp-proto-grpc, loguru, Tailwind CSS, markdown-it, vue-flow, Chart.js, vue-chartjs, highlight.js, dompurify, marked, Element, echarts, Leaflet, Mermaid, jspdf
- Only in data-formulator: db-dtypes, pymongo, pyarrow, DuckDB, azure-storage-blob, MongoDB, azure-cosmos, azure-kusto-data, clickhouse-connect, localforage, pymysql, Google, flask-cors, MUI, react-dnd, vega-embed, @uiw/react-codemirror, codemirror, react-virtuoso, Vega, allotment, react-dnd-html5-backend, tiptap, tiptap-markdown, vega-lite, @mui/icons-material, azure-keyvault-secrets, azure-identity, oidc-client-ts, flask-session, google-auth, pyjwt, litellm, prismjs, exceljs, markdown-to-jsx, remark-gfm, boto3

## Side by side

| | hello-agents | data-formulator |
|---|---|---|
| Size | 226,661 lines written, 1,212 code files | 135,656 lines written, 238 code files |
| Who writes it | 2.4% of its commits signed by AI. With Codex, Cursor, and Claude Code | 3.1% of its commits signed by AI. With GitHub Copilot and Cursor |
| Activity | Last push October 13, 2026, 660 commits, 86,039 stars | Last push November 6, 2026, 1,175 commits, 17,667 stars |
| Tests | 97 test files. 6.9% of its code files have a test that imports them | 188 test files. 53.4% 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 data-formulator?

hello-agents, with 226,661 lines written; data-formulator has 135,656.

The proof: [datawhalechina/hello-agents's code at commit 36f583c](https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)

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

hello-agents, with 86,039 stars; data-formulator has 17,667.

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

### Which has more tests, hello-agents or data-formulator?

data-formulator, with 188 test files; hello-agents has 97.

The proof: [microsoft/data-formulator's code at commit 5477f0e](https://github.com/microsoft/data-formulator/tree/5477f0e236426dc8f74a498ec400414fba7fbc0f)

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

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

The proof: [microsoft/data-formulator's commits on GitHub](https://github.com/microsoft/data-formulator/commits)

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

data-formulator: an AI signed 3.1% of its commits, with GitHub Copilot and Cursor; in hello-agents, 2.4%.

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

## Sources

- datawhalechina/hello-agents: Read on November 4, 2026, at commit 36f583c (https://github.com/datawhalechina/hello-agents/tree/36f583c233ea5cee4537ef93455702b55053af18)
- microsoft/data-formulator: Read on November 6, 2026, at commit 5477f0e (https://github.com/microsoft/data-formulator/tree/5477f0e236426dc8f74a498ec400414fba7fbc0f)

## 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.