Source: https://seerepo.com/compare/apache/superset/vs/datahub-project/datahub
Markdown source: https://seerepo.com/compare/apache/superset/vs/datahub-project/datahub.md
Description: superset and datahub share 18 technologies: Google, AIOHTTP, anyio, React, jsonschema, Pydantic, docker, psutil, antd, Ant Design, visx, react-js-cron, react-syntax-highlighter, react-window, dompurify, D3, beautifulsoup4, and python-json-logger. Both are written in Python.

# superset vs datahub

superset and datahub share 18 technologies: Google, AIOHTTP, anyio, React, jsonschema, Pydantic, docker, psutil, antd, Ant Design, visx, react-js-cron, react-syntax-highlighter, react-window, dompurify, D3, beautifulsoup4, and python-json-logger. Both are written in Python.

- [apache/superset](https://seerepo.com/r/apache/superset): Apache Superset is a Data Visualization and Data Exploration Platform
- [datahub-project/datahub](https://seerepo.com/r/datahub-project/datahub): The Context Platform for your Data and AI Stack

## What they share and what sets them apart

- In common: Google, AIOHTTP, anyio, React, jsonschema, Pydantic, docker, psutil, antd, Ant Design, visx, react-js-cron, react-syntax-highlighter, react-window, dompurify, D3, beautifulsoup4, python-json-logger
- Only in superset: Flask, amqp, asyncmy2, crate, databend-driver, databend-sqlalchemy, db-dtypes, duckdb-engine, elasticsearch-dbapi, google-cloud-core, mysqlclient, oracledb, psycopg2-binary, py-key-value-aio, pydruid, pymongo, pymssql, requests-cache, s3transfer, ydb, ydb-dbapi, Celery, flask-caching, pyarrow, Redis, pyhive, Postgres, cachelib, MySQL, shillelagh, apsw, clickhouse-connect, DuckDB, kombu, MongoDB, pandas-gbq, pymysql, Trino, apache-superset-core, fastmcp-slim, uvicorn, flask-appbuilder, werkzeug, starlette, fastmcp, flask-cors, async-lru, pyzmq, jupyter-core, jupyterlab-server, tornado, Express, cycler, fonttools, contourpy, matplotlib, prompt-toolkit, Rich, SQLAlchemy, sqlalchemy-continuum, sqlglot, sqlalchemy-utils, alembic, flask-sqlalchemy, flask-migrate, marshmallow-sqlalchemy, bcrypt, google-auth-oauthlib, itsdangerous, joserfc, keyring, oauthlib, python-ldap, requests-oauthlib, flask-login, flask-jwt-extended, pyjwt, cryptography, authlib, flask-session, cmdstanpy, tiktoken, MCP, prophet, defusedxml, docutils, et-xmlfile, mako, markdown-it-py, mdurl, odfpy, python-calamine, pyxlsb, rich-rst, xlrd, jinja2, markupsafe, openpyxl, pillow, nh3, markdown, xlsxwriter, annotated-types, beartype, cattrs, email-validator, jsonschema-path, jsonschema-specifications, msgspec, openapi-pydantic, openapi-schema-validator, referencing, rfc3339-validator, marshmallow, flask-wtf, pydantic-core, mcp-types, wtforms, marshmallow-union, openapi-spec-validator, wtforms-json, execnet, Gunicorn, OpenTelemetry, boto3, botocore, statsd, jwt-decode, emotion, fontsource, @emotion/react, classnames, React Table, react-resize-detector, ag-grid-community, brace, react-ace, ace-builds, d3-scale, re-resizable, react-draggable, ag-grid-react, d3-interpolate, react-error-boundary, @braintree/sanitize-url, handlebars, markdown-to-jsx, react-markdown, rehype-raw, rehype-sanitize, remark-gfm, xss, d3-selection, geostyler-style, ol, jupyterlab-pygments, soupsieve, tinycss2, ipywidgets, jupyter-server-terminals, jupyterlab-widgets, matplotlib-inline, widgetsnbextension, argon2-cffi, argon2-cffi-bindings, bleach, mistune, nbconvert, nbformat, pandocfilters, webencodings, fastjsonschema, fqdn, rfc3986-validator, rfc3987-syntax, prometheus-client, echarts, Zod, handlebars-group-by, d3v3, d3-hierarchy, prop-types, react-map-gl, @math.gl/web-mercator, MapLibre, supercluster, d3-cloud, datamaps, deck.gl, Mapbox, jsonwebtoken, hot-shots, winston, morgan
- Only in datahub: FastAPI, Spring, s3, spark-sql_2.12, org.springframework.kafka:spring-kafka, org.apache.iceberg:iceberg-core, org.apache.iceberg:iceberg-aws, AWS S3, Google Cloud Storage, Mixpanel, Sentry, pyspark, react-router-dom, React Router, history, Vite, click-spinner, org.springframework.security:spring-security-oauth2-jose, software.amazon.awssdk:sts, com.google.auth:google-auth-library-oauth2-http, software.amazon.awssdk:bedrockruntime, velocity-engine-core, io.swagger.parser.v3:swagger-parser, log4j-core, loguru, org.apache.logging.log4j:log4j-jul, slf4j-log4j12, org.slf4j:slf4j-api, software.amazon.awssdk:regions, ch.qos.logback:logback-classic, ch.qos.logback:logback-core, styled-components, reactflow, @remirror/react, react-intersection-observer, dnd-kit, @monaco-editor/react, rc-table, react-helmet-async, react-color, @floating-ui/react-dom, react-diff-viewer, virtualizedtableforantd4, @phosphor-icons/react, @ant-design/icons, js-yaml, html-to-image, mammoth, marked, turndown-plugin-gfm, opentelemetry

## Side by side

| | superset | datahub |
|---|---|---|
| Size | 1,939,050 lines written, 3,665 code files | 2,991,794 lines written, 8,430 code files |
| Who writes it | 9.2% of its commits signed by AI. With Claude Code, GitHub Copilot, Cursor, Devin, and Codex | 8.2% of its commits signed by AI. With Cursor, Claude Code, CodeRabbit, GitHub Copilot, and Devin |
| Activity | Last push November 9, 2026, 24,051 commits, 75,452 stars | Last push November 10, 2026, 16,381 commits, 12,975 stars |
| Tests | 3,053 test files. 62% of its code files have a test that imports them | 5,307 test files. 54% 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 datahub?

datahub, with 2,991,794 lines written; superset has 1,939,050.

The proof: [datahub-project/datahub's code at commit 0d9b954](https://github.com/datahub-project/datahub/tree/0d9b95469f4b98109939b0c97826fa3787926604)

### Which has more GitHub stars, superset or datahub?

superset, with 75,452 stars; datahub has 12,975.

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

### Which has more tests, superset or datahub?

datahub, with 5,307 test files; superset has 3,053.

The proof: [datahub-project/datahub's code at commit 0d9b954](https://github.com/datahub-project/datahub/tree/0d9b95469f4b98109939b0c97826fa3787926604)

### Which was updated more recently, superset or datahub?

datahub: its last push was on November 10, 2026, and superset's on November 9, 2026.

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

### Which has more commits signed by AI, superset or datahub?

superset: an AI signed 9.2% of its commits, with Claude Code, GitHub Copilot, Cursor, Devin, and Codex; in datahub, 8.2%.

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

## Sources

- apache/superset: Read on November 9, 2026, at commit 8527530 (https://github.com/apache/superset/tree/8527530ace48171b5a0425c73c20e95200cf0d50)
- datahub-project/datahub: Read on November 10, 2026, at commit 0d9b954 (https://github.com/datahub-project/datahub/tree/0d9b95469f4b98109939b0c97826fa3787926604)

## 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.