e490414484
* First cut at app factory * Setting things back to master * Working with new FLASK_APP * Still need to refactor Celery * CLI mostly working * Working on unit tests * Moving cli stuff around a bit * Removing get in config * Defaulting test config * Adding flask-testing * flask-testing casing * resultsbackend property bug * Fixing up cli * Quick fix for KV api * Working on save slice * Fixed core_tests * Fixed utils_tests * Most tests working - still need to dig into remaining app_context issue in tests * All tests passing locally - need to update code comments * Fixing dashboard tests again * Blacking * Sorting imports * linting * removing envvar mangling * blacking * Fixing unit tests * isorting * licensing * fixing mysql tests * fixing cypress? * fixing .flaskenv * fixing test app_ctx * fixing cypress * moving manifest processor around * moving results backend manager around * Cleaning up __init__ a bit more * Addressing PR comments * Addressing PR comments * Blacking * Fixes for running celery worker * Tuning isort * Blacking |
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| .github | ||
| RELEASING | ||
| contrib/docker | ||
| docs | ||
| install/helm/superset | ||
| scripts | ||
| superset | ||
| 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 | ||
| INSTALL.md | ||
| LICENSE.txt | ||
| MANIFEST.in | ||
| NOTICE | ||
| README.md | ||
| UPDATING.md | ||
| alembic.ini | ||
| babel-node | ||
| cypress.json | ||
| 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
[this project used to be named Caravel, and Panoramix in the past]
Screenshots & Gifs
View Dashboards
Slice & dice your data
Query and visualize your data with SQL Lab
Visualize geospatial data with deck.gl
Choose from a wide array of visualizations
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 acts 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 ORM that is compatible with most common databases.
A list of currently supported SQL databases can be found here.
Apache Druid (Incubating)!
On top of having the ability to query your relational databases, Superset ships with deep integration with Druid (a real time distributed column-store). When querying Druid, Superset can query humongous amounts of data on top of real time dataset. Note that Superset does not require Druid in any way to function, it's simply another database backend that it can query.
Here's a description of Druid from the http://druid.io website:
Druid is an open-source analytics data store designed for business intelligence (OLAP) queries on event data. Druid provides low latency (real-time) data ingestion, flexible data exploration, and fast data aggregation. Existing Druid deployments have scaled to trillions of events and petabytes of data. Druid is best used to power analytic dashboards and applications.
Installation & Configuration
Resources
- Mailing list
- Docker image (community contributed)
- Slides from Strata (March 2016)
- Stackoverflow tag
- Join our Slack
- DEPRECATED Google Group
Contributing
Interested in contributing? Casual hacking? Check out Contributing.MD
Who uses Apache Superset (incubating)?
Here's a list of organizations who 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
- Endress+Hauser
- Faasos
- Fanatics
- FBK - ICT center
- Fordeal
- GFG - Global Fashion Group
- GfK Data Lab
- Grassroot
- Hostnfly
- HuiShouBao
- Intercom
- jampp
- komoot
- Konfío
- Kuaishou
- Lime
- Living Goods
- Lyft
- Maieutical Labs
- Myra Labs
- Now
- Ona
- PeopleDoc
- Pronto Tools
- QPID Health
- Qunar
- Safaricom
- Scoot
- ScopeAI
- Shopee
- Shopkick
- Showmax
- source{d}
- Steamroot
- Tails.com
- Tenable
- THE ICONIC
- TME QQMUSIC/WESING
- Tobii
- Tooploox
- TrustMedis
- Udemy
- VIPKID
- WeSure
- Windsor.ai
- WP-Semantix
- Yahoo!
- Zaihang
- Zalando
- Zalora