Source: https://seerepo.com/compare/apache/superset/vs/microsoft/data-formulator
Markdown source: https://seerepo.com/compare/apache/superset/vs/microsoft/data-formulator.md
Description: superset and data-formulator share 20 technologies: Flask, psycopg2-binary, pyarrow, Postgres, clickhouse-connect, MongoDB, pymysql, Google, AIOHTTP, flask-cors, React, pyjwt, xlrd, openpyxl, boto3, markdown-to-jsx, react-markdown, remark-gfm, D3, and beautifulsoup4. superset is written in Python and data-formulator in TypeScript.

# superset vs data-formulator

superset and data-formulator share 20 technologies: Flask, psycopg2-binary, pyarrow, Postgres, clickhouse-connect, MongoDB, pymysql, Google, AIOHTTP, flask-cors, React, pyjwt, xlrd, openpyxl, boto3, markdown-to-jsx, react-markdown, remark-gfm, D3, and beautifulsoup4. superset is written in Python and data-formulator in TypeScript.

- [apache/superset](https://seerepo.com/r/apache/superset): Apache Superset is a Data Visualization and Data Exploration Platform
- [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: Flask, psycopg2-binary, pyarrow, Postgres, clickhouse-connect, MongoDB, pymysql, Google, AIOHTTP, flask-cors, React, pyjwt, xlrd, openpyxl, boto3, markdown-to-jsx, react-markdown, remark-gfm, D3, beautifulsoup4
- Only in superset: google-cloud-core, oracledb, pymssql, Celery, Redis, MySQL, kombu, pandas-gbq, uvicorn, werkzeug, starlette, anyio, fastmcp, pyzmq, Express, cycler, fonttools, contourpy, matplotlib, prompt-toolkit, Rich, SQLAlchemy, alembic, flask-migrate, bcrypt, google-auth-oauthlib, itsdangerous, joserfc, oauthlib, flask-login, cryptography, authlib, tiktoken, MCP, defusedxml, mako, markdown-it-py, mdurl, pyxlsb, jinja2, markupsafe, pillow, nh3, markdown, xlsxwriter, annotated-types, beartype, email-validator, jsonschema-specifications, msgspec, referencing, rfc3339-validator, jsonschema, Pydantic, pydantic-core, docker, Gunicorn, OpenTelemetry, botocore, psutil, jwt-decode, emotion, fontsource, antd, Ant Design, @emotion/react, classnames, react-resize-detector, ag-grid-community, react-ace, ace-builds, d3-scale, re-resizable, react-draggable, ag-grid-react, react-error-boundary, react-syntax-highlighter, react-window, @braintree/sanitize-url, dompurify, handlebars, rehype-raw, rehype-sanitize, xss, soupsieve, tinycss2, ipywidgets, matplotlib-inline, argon2-cffi, bleach, prometheus-client, python-json-logger, echarts, Zod, prop-types, MapLibre, supercluster, deck.gl, jsonwebtoken, hot-shots, winston, morgan
- Only in data-formulator: Vite, react-router-dom, db-dtypes, pymongo, DuckDB, azure-storage-blob, azure-cosmos, azure-kusto-data, localforage, 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, OpenAI, litellm, scikit-learn, lxml, prismjs, exceljs, html2canvas, katex

## Side by side

| | superset | data-formulator |
|---|---|---|
| Size | 1,918,985 lines written, 3,663 code files | 135,656 lines written, 238 code files |
| Who writes it | 9.2% of its commits signed by AI. With Claude Code, GitHub Copilot, Cursor, Devin, and Codex | 3.1% of its commits signed by AI. With GitHub Copilot and Cursor |
| Activity | Last push November 4, 2026, 24,012 commits, 75,409 stars | Last push November 6, 2026, 1,175 commits, 17,667 stars |
| Tests | 3,041 test files. 61.8% 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, superset or data-formulator?

superset, with 1,918,985 lines written; data-formulator has 135,656.

The proof: [apache/superset's code at commit fcc13d4](https://github.com/apache/superset/tree/fcc13d4a301e81e5f5f2d82ba021e078b87187e7)

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

superset, with 75,409 stars; data-formulator has 17,667.

The proof: [apache/superset on GitHub](https://github.com/apache/superset)

### Which has more tests, superset or data-formulator?

superset, with 3,041 test files; data-formulator has 188.

The proof: [apache/superset's code at commit fcc13d4](https://github.com/apache/superset/tree/fcc13d4a301e81e5f5f2d82ba021e078b87187e7)

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

data-formulator: its last push was on November 6, 2026, and superset's on November 4, 2026.

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

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

superset: an AI signed 9.2% of its commits, with Claude Code, GitHub Copilot, Cursor, Devin, and Codex; in data-formulator, 3.1%.

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

## Sources

- apache/superset: Read on November 4, 2026, at commit fcc13d4 (https://github.com/apache/superset/tree/fcc13d4a301e81e5f5f2d82ba021e078b87187e7)
- 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.