superset vs pandas
superset and pandas share 14 technologies: psycopg2-binary, pyarrow, Postgres, pymysql, matplotlib, SQLAlchemy, pyxlsb, xlrd, jinja2, openpyxl, markdown, xlsxwriter, ipywidgets, and beautifulsoup4. Both are written in Python.
LinkedInWhat they share and what sets them apart
apache
superset
Apache Superset is a Data Visualization and Data Exploration Platform
Python75.4kRead on November 4, 2026, at commit fcc13d4What is superset built with?Only in superset
- Flask
google-cloud-core
oracledb
- pymssql
- Celery
- Redis
- MySQL
clickhouse-connect
kombu
- MongoDB
- AIOHTTP
uvicorn
werkzeug
starlette
- anyio
fastmcp
- flask-cors
- React
- pyzmq
- Express
- cycler
fonttools
contourpy
prompt-toolkit
- Rich
- alembic
- flask-migrate
- bcrypt
itsdangerous
joserfc
oauthlib
- flask-login
- pyjwt
- cryptography
authlib
- tiktoken
- MCP
- defusedxml
- mako
markdown-it-py
- mdurl
markupsafe
pillow
- nh3
- annotated-types
beartype
- email-validator
- jsonschema-specifications
msgspec
- referencing
- rfc3339-validator
- jsonschema
- Pydantic
- pydantic-core
- docker
- Gunicorn
- OpenTelemetry
- boto3
- botocore
psutil
- jwt-decode
emotion
fontsource
antd
- Ant Design
- classnames
- react-resize-detector
ag-grid-community
react-ace
- ace-builds
- d3-scale
re-resizable
- react-draggable
react-error-boundary
react-syntax-highlighter
react-window
@braintree/sanitize-url
- dompurify
- handlebars
markdown-to-jsx
- react-markdown
rehype-raw
rehype-sanitize
remark-gfm
- xss
- D3
- soupsieve
- tinycss2
- matplotlib-inline
- argon2-cffi
- bleach
prometheus-client
- python-json-logger
echarts
- Zod
- prop-types
- MapLibre
- supercluster
deck.gl
- jsonwebtoken
- hot-shots
winston
- morgan
In common
psycopg2-binary
pyarrow
- Postgres
- pymysql
matplotlib
- SQLAlchemy
- pyxlsb
- xlrd
- jinja2
- openpyxl
- markdown
- xlsxwriter
- ipywidgets
- beautifulsoup4
pandas-dev
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python50.4kRead on November 5, 2026, at commit 249a3e4What is pandas built with?Only in pandas
- gcsfs
pickleshare
pyiceberg
- fastparquet
- s3fs
seaborn
- html5lib
- nbformat
- odfpy
lxml
feedparser
- nbconvert
- python-calamine
Side by side
supersetpandas
SizeLines written by people and agents, without generated ones; code files, without tests.
superset1,918,985 lines written3,663 code files
pandas758,101 lines written297 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
pandas4.2% of its commits signed by AIWith Claude Code, GitHub Copilot, and Devin
ActivityFrom GitHub and its history, on the day SeeRepo read it.
supersetLast push November 4, 202624,012 commits75,409 stars
pandasLast push November 5, 202636,566 commits50,368 stars
TestsThe files that test the code, and the share of code files a test imports.
superset3,041 test files61.8% of its code files have a test that imports them
pandas1,263 test files56.6% of its code files have a test that imports them
Frequently asked questions
Which is bigger, superset or pandas?
superset, with 1,918,985 lines written; pandas has 758,101.
The proof: apache/superset's code at commit fcc13d4
Which has more GitHub stars, superset or pandas?
superset, with 75,409 stars; pandas has 50,368.
The proof: apache/superset on GitHub
Which has more tests, superset or pandas?
superset, with 3,041 test files; pandas has 1,263.
The proof: apache/superset's code at commit fcc13d4
Which was updated more recently, superset or pandas?
pandas: its last push was on November 5, 2026, and superset's on November 4, 2026.
The proof: pandas-dev/pandas's commits on GitHub
Which has more commits signed by AI, superset or pandas?
superset: an AI signed 9.2% of its commits, with Claude Code, GitHub Copilot, Cursor, Devin, and Codex; in pandas, 4.2%.
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