superset vs fiftyone
superset and fiftyone share 17 technologies: pyarrow, werkzeug, React, docutils, jinja2, markupsafe, classnames, re-resizable, react-draggable, react-error-boundary, react-syntax-highlighter, react-markdown, remark-gfm, ipywidgets, react-map-gl, MapLibre, and Mapbox. superset is written in Python and fiftyone in TypeScript.
What they share and what sets them apart
superset
Apache Superset is a Data Visualization and Data Exploration Platform
Python75.5kRead on November 12, 2026, at commit 8d5f06eWhat 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
- Redis
- pyhive
- Postgres
- MySQL
shillelagh
apsw
clickhouse-connect
kombu
- MongoDB
pandas-gbq
- pymysql
- Trino
- AIOHTTP
apache-superset-core
fastmcp-slim
uvicorn
flask-appbuilder
starlette
- anyio
fastmcp
- flask-cors
- async-lru
- pyogrio
- pyzmq
- jupyter-core
jupyterlab-server
tornado
- Express
- cycler
fonttools
contourpy
matplotlib
prompt-toolkit
- SQLAlchemy
sqlalchemy-continuum
sqlglot
- sqlalchemy-utils
- alembic
flask-sqlalchemy
- flask-migrate
sqlalchemy-bigquery
- bcrypt
google-auth-oauthlib
itsdangerous
joserfc
oauthlib
- python-ldap
requests-oauthlib
- flask-login
- flask-jwt-extended
- pyjwt
- cryptography
flask-session
cmdstanpy
- tiktoken
prophet
- defusedxml
et-xmlfile
- mako
markdown-it-py
- mdurl
- odfpy
- python-calamine
- pyxlsb
rich-rst
- xlrd
pillow
- nh3
- markdown
- xlsxwriter
- annotated-types
beartype
- cattrs
- email-validator
- jsonschema-path
- jsonschema-specifications
msgspec
- openapi-pydantic
- openapi-schema-validator
- referencing
- rfc3339-validator
marshmallow
- Pydantic
flask-wtf
mcp-types
wtforms
- marshmallow-union
- wtforms-json
- docker
- execnet
- Gunicorn
- OpenTelemetry
- boto3
- botocore
- statsd
- jwt-decode
emotion
fontsource
antd
- Ant Design
@emotion/react
- React Table
- react-resize-detector
ag-grid-community
brace
react-ace
- visx
- ace-builds
- d3-interpolate
- react-js-cron
ag-grid-react
react-window
@braintree/sanitize-url
- dompurify
- handlebars
markdown-to-jsx
rehype-raw
rehype-sanitize
- xss
d3-selection
geostyler-style
- ol
- D3
jupyterlab-pygments
- soupsieve
- tinycss2
- jupyter-server-terminals
- jupyterlab-widgets
- matplotlib-inline
- widgetsnbextension
- argon2-cffi
- argon2-cffi-bindings
- beautifulsoup4
- bleach
mistune
- nbconvert
- nbformat
- pandocfilters
webencodings
- fastjsonschema
- fqdn
- jsonschema
- rfc3986-validator
- rfc3987-syntax
prometheus-client
psutil
- python-json-logger
echarts
- Zod
- handlebars-group-by
- d3-scale
- d3v3
- prop-types
- @math.gl/web-mercator
- supercluster
d3-cloud
- datamaps
deck.gl
- jsonwebtoken
- hot-shots
winston
- morgan
authlib
- MCP
- openpyxl
In common
fiftyone
Refine high-quality datasets and visual AI models
TypeScript11.3kRead on November 12, 2026, at commit 5b951a9What is fiftyone built with?Only in fiftyone
mcap
- Hugging Face
- Vite
- react-relay
- history
- lru-cache
- libsass
pydata-sphinx-theme
sphinx-design
- Open3D
accelerate
- pycocotools
- qwen-vl-utils
tensorflow-datasets
umap-learn
- torch
- transformers
torchvision
- TensorFlow
myst-parser
- pypandoc
sphinxcontrib-jquery
pydicom
onnxruntime-web
- MUI
notistack
- styled-components
@react-spring/web
react-laag
@textea/json-viewer
- Framer
rjsf
@monaco-editor/react
- react-input-autosize
- react-plotly.js
react-sortablejs
- @mui/icons-material
- material-icons
react-color
three
@lottiefiles/dotlottie-react
@rjsf/core
- react-grid-layout
- react-player
recharts
- html2canvas
@rjsf/utils
- @mui/material
- Plotly
pixi.js
- pixi-viewport
react-three
@sparkjsdev/spark
@xmldom/xmldom
- fast-png
- @mapbox/mapbox-gl-draw
use-resize-observer
react-mosaic-component
uplot
- xyflow
- hyparquet
- mp4box
- react-virtuoso
allotment
Side by side
Frequently asked questions
Which is bigger, superset or fiftyone?
The proof: apache/superset's code at commit 8d5f06e
Which has more GitHub stars, superset or fiftyone?
The proof: apache/superset on GitHub
Which has more tests, superset or fiftyone?
The proof: apache/superset's code at commit 8d5f06e
Which was updated more recently, superset or fiftyone?
The proof: apache/superset's commits on GitHub
Which has more commits signed by AI, superset or fiftyone?
See inside your code, today.
Paste your repo and see it drawn, part by part: a medium one in under a minute.
Free, no account.

