One of the pain points in developing Superset frontend code is the lack of testing data. Local installation often do not have enough examples setup to test all edge cases. This change allows `webpack-dev-server` to proxy to any remote Superset service, but the same time replaces frontend asset references in HTML with links to local development version. This allows developers to test with production data locally, tackling edge cases all while maintaining the productivity of editing the code locally. |
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|---|---|---|
| .github | ||
| RELEASING | ||
| docker | ||
| docs | ||
| install/helm/superset | ||
| scripts | ||
| superset | ||
| superset-frontend | ||
| tests | ||
| .codecov.yml | ||
| .dockerignore | ||
| .flaskenv | ||
| .fossa.yml | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| .pylintrc | ||
| .rat-excludes | ||
| .travis.yml | ||
| CHANGELOG.md | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| DISCLAIMER | ||
| Dockerfile | ||
| INSTALL.md | ||
| LICENSE.txt | ||
| MANIFEST.in | ||
| NOTICE | ||
| README.md | ||
| UPDATING.md | ||
| alembic.ini | ||
| babel-node | ||
| cypress.json | ||
| docker-compose.yml | ||
| gen_changelog.sh | ||
| pypi_push.sh | ||
| requirements-dev.txt | ||
| requirements.txt | ||
| setup.cfg | ||
| setup.py | ||
| tox.ini | ||
README.md
Superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application
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Apache Superset
Apache Superset is a data exploration and visualization web application.
Superset provides:
- An intuitive interface to explore and visualize datasets, and create interactive dashboards.
- A wide array of beautiful visualizations to showcase your data.
- Easy, code-free, user flows to drill down and slice and dice the data underlying exposed dashboards. The dashboards and charts act as a starting point for deeper analysis.
- A state of the art SQL editor/IDE exposing a rich metadata browser, and an easy workflow to create visualizations out of any result set.
- An extensible, high granularity security model allowing intricate rules on who can access which product features and datasets. Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, ...)
- A lightweight semantic layer, allowing to control how data sources are exposed to the user by defining dimensions and metrics
- Out of the box support for most SQL-speaking databases
- Deep integration with Druid allows for Superset to stay blazing fast while slicing and dicing large, realtime datasets
- Fast loading dashboards with configurable caching
Database Support
Superset speaks many SQL dialects through SQLAlchemy - a Python SQL toolkit that is compatible with most databases. A list of supported databases can be found here.
Installation & Configuration
Resources
- Mailing list
- Docker image (community contributed)
- Slides from Strata (March 2016)
- Stackoverflow tag
- Join our Slack
Contributing
Interested in contributing? Casual hacking? Check out Contributing.MD
Who uses Apache Superset (incubating)?
Here's a list of organizations that have taken the time to send a PR to let the world know they are using Superset. Join our growing community!
- 6play
- AiHello
- Airbnb
- Airboxlab
- Aktia Bank plc
- American Express
- Amino
- Apollo GraphQL
- Ascendica Development
- Astronomer
- bilibili
- Brilliant.org
- Capital Service S.A.
- Clark.de
- Cloudsmith
- CnOvit
- Deepomatic
- Dial Once
- Digit Game Studios
- Douban
- Dragonpass
- Endress+Hauser
- Faasos
- Fanatics
- FBK - ICT center
- Fordeal
- GFG - Global Fashion Group
- GfK Data Lab
- Grassroot
- Hostnfly
- HuiShouBao
- Intercom
- jampp
- komoot
- Konfío
- Kuaishou
- Let's Roam
- Lime
- Living Goods
- Lyft
- Maieutical Labs
- Myra Labs
- Now
- Ona
- Peak AI
- PeopleDoc
- Popoko VM Games Studio
- Preset, Inc.
- Pronto Tools
- PubNub
- QPID Health
- Qunar
- Rakuten Viki
- Reward Gateway
- Safaricom
- Scoot
- ScopeAI
- Shopee
- Shopkick
- Showmax
- source{d}
- Steamroot
- Tails.com
- Tenable
- THE ICONIC
- timbr.ai
- TME QQMUSIC/WESING
- Tobii
- Tooploox
- TrustMedis
- Udemy
- VIPKID
- WeSure
- Windsor.ai
- Yahoo!
- Zaihang
- Zalando
- Zalora