Source: https://seerepo.com/compare/apache/airflow/vs/microsoft/data-formulator Markdown source: https://seerepo.com/compare/apache/airflow/vs/microsoft/data-formulator.md Description: airflow and data-formulator share 19 technologies: Flask, azure-storage-blob, psycopg2-binary, pymongo, pyarrow, DuckDB, clickhouse-connect, pymysql, Google, AIOHTTP, Vite, React, react-router-dom, azure-identity, flask-session, google-auth, pyjwt, beautifulsoup4, and boto3. airflow is written in Python and data-formulator in TypeScript. # airflow vs data-formulator airflow and data-formulator share 19 technologies: Flask, azure-storage-blob, psycopg2-binary, pymongo, pyarrow, DuckDB, clickhouse-connect, pymysql, Google, AIOHTTP, Vite, React, react-router-dom, azure-identity, flask-session, google-auth, pyjwt, beautifulsoup4, and boto3. airflow is written in Python and data-formulator in TypeScript. - [apache/airflow](https://seerepo.com/r/apache/airflow): Apache Airflow - A platform to programmatically author, schedule, and monitor workflows - [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, azure-storage-blob, psycopg2-binary, pymongo, pyarrow, DuckDB, clickhouse-connect, pymysql, Google, AIOHTTP, Vite, React, react-router-dom, azure-identity, flask-session, google-auth, pyjwt, beautifulsoup4, boto3 - Only in airflow: FastAPI, aiosqlite, azure-search-documents, confluent-kafka, ibm-db, influxdb3-python, pgvector, presto-python-client, psycopg, python-arango, Redis, snowflake-sqlalchemy, weaviate-client, Celery, oracledb, pyiceberg, pinecone, pymssql, gcloud-aio-storage, gcsfs, Neo4j, SQLite, flask-appbuilder, asgiref, uvicorn, werkzeug, a2wsgi, Apache, Rich, flask-sqlalchemy, SQLAlchemy, alembic, sqlglot, pyspnego, cryptography, flask-login, keyring, google-auth-httplib2, google-auth-oauthlib, azure-ai-projects, pydantic-ai-slim, cohere, nbconvert, jinja2, aiosmtplib, icalendar, sendgrid, flask-wtf, Pydantic, wtforms, jsonschema, msgspec, marshmallow, azure-mgmt-containerinstance, azure-mgmt-resource, Flower, OpenTelemetry, structlog, kubernetes, psutil, kubernetes-asyncio, python-on-whales, docker, Alibaba Cloud, colorlog, org.apache.logging.log4j:log4j-api, org.apache.logging.log4j:log4j-core, org.slf4j:slf4j-api, next-themes, Chakra UI, React Hook Form, yaml - Only in data-formulator: db-dtypes, MongoDB, Postgres, azure-cosmos, azure-kusto-data, localforage, flask-cors, MUI, react-dnd, vega-embed, @uiw/react-codemirror, codemirror, D3, react-virtuoso, Vega, allotment, react-dnd-html5-backend, tiptap, tiptap-markdown, vega-lite, @mui/icons-material, azure-keyvault-secrets, oidc-client-ts, OpenAI, litellm, scikit-learn, lxml, openpyxl, xlrd, prismjs, react-markdown, exceljs, html2canvas, katex, markdown-to-jsx, remark-gfm ## Side by side | | airflow | data-formulator | |---|---|---| | Size | 2,200,257 lines written, 4,596 code files | 135,656 lines written, 238 code files | | Who writes it | 0.7% of its commits signed by AI. With Claude Code, GitHub Copilot, Cursor, and Devin | 3.1% of its commits signed by AI. With GitHub Copilot and Cursor | | Activity | Last push November 5, 2026, 41,804 commits, 47,376 stars | Last push November 6, 2026, 1,175 commits, 17,667 stars | | Tests | 4,949 test files. 53.3% 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, airflow or data-formulator? airflow, with 2,200,257 lines written; data-formulator has 135,656. The proof: [apache/airflow's code at commit 322c178](https://github.com/apache/airflow/tree/322c178e05b6621b9577e62e66964c1f4c0b590f) ### Which has more GitHub stars, airflow or data-formulator? airflow, with 47,376 stars; data-formulator has 17,667. The proof: [apache/airflow on GitHub](https://github.com/apache/airflow) ### Which has more tests, airflow or data-formulator? airflow, with 4,949 test files; data-formulator has 188. The proof: [apache/airflow's code at commit 322c178](https://github.com/apache/airflow/tree/322c178e05b6621b9577e62e66964c1f4c0b590f) ### Which was updated more recently, airflow or data-formulator? data-formulator: its last push was on November 6, 2026, and airflow's on November 5, 2026. The proof: [microsoft/data-formulator's commits on GitHub](https://github.com/microsoft/data-formulator/commits) ### Which has more commits signed by AI, airflow or data-formulator? data-formulator: an AI signed 3.1% of its commits, with GitHub Copilot and Cursor; in airflow, 0.7%. The proof: [the commits each tool signed in microsoft/data-formulator](https://seerepo.com/r/microsoft/data-formulator/ai) ## Sources - apache/airflow: Read on November 5, 2026, at commit 322c178 (https://github.com/apache/airflow/tree/322c178e05b6621b9577e62e66964c1f4c0b590f) - 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.