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.
What they share and what sets them apart
apache
superset
Apache Superset is a Data Visualization and Data Exploration Platform
Python75.5kRead on November 9, 2026, at commit 8527530What is superset built with?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
In common
datahub-project
datahub
The Context Platform for your Data and AI Stack
Python13kRead on November 10, 2026, at commit 0d9b954What is datahub built with?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
supersetdatahub
SizeLines written by people and agents, without generated ones; code files, without tests.
superset1,939,050 lines written3,665 code files
datahub2,991,794 lines written8,430 code files
Who writes itA commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
superset9.2% of its commits signed by AIWith Claude Code, GitHub Copilot, Cursor, Devin, and Codex
datahub8.2% of its commits signed by AIWith Cursor, Claude Code, CodeRabbit, GitHub Copilot, and Devin
ActivityFrom GitHub and its history, on the day SeeRepo read it.
supersetLast push November 9, 202624,051 commits75,452 stars
datahubLast push November 10, 202616,381 commits12,975 stars
TestsThe files that test the code, and the share of code files a test imports.
superset3,053 test files62% of its code files have a test that imports them
datahub5,307 test files54% of its code files have a test that imports them
Frequently asked questions
Which is bigger, superset or datahub?
datahub, with 2,991,794 lines written; superset has 1,939,050.
Which has more GitHub stars, superset or datahub?
superset, with 75,452 stars; datahub has 12,975.
The proof: apache/superset on GitHub
Which has more tests, superset or datahub?
datahub, with 5,307 test files; superset has 3,053.
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
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%.
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