a36c136f4a
* Add Auto option to point radius to make it work as expected since the example using this didn't work because of this (and also as the tooltip says the auto option should be available) * Remove trailing space * Fix docker configurations and docker installation guide. - Fix installation guide regarding passing enviromental variable to docker-compose. - Add gevent installation command in Dockerfile. (Didn't add it in requirements because it's not really a requirement for the whole project) - Add user: root:root to allow superset service to work in development mode. Since access to binded superset directory to local requires root user. - Also add localhost to postgres and redis services to reduce unintended security risk. * Fix docker configurations and docker installation guide. - Fix installation guide regarding passing enviromental variable to docker-compose. - Add gevent installation command in Dockerfile. (Didn't add it in requirements because it's not really a requirement for the whole project) - Add user: root:root to allow superset service to work in development mode. Since access to binded superset directory to local requires root user. - Also add localhost to postgres and redis services to reduce unintended security risk. |
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| .github | ||
| RELEASING | ||
| contrib/docker | ||
| docs | ||
| install/helm/superset | ||
| licenses | ||
| scripts | ||
| superset | ||
| tests | ||
| .codecov.yml | ||
| .dockerignore | ||
| .flaskenv | ||
| .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
- Gitter (live chat) Channel
- 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
- Brilliant.org
- Capital Service S.A.
- Clark.de
- Cloudsmith
- CnOvit
- Dial Once
- Digit Game Studios
- Douban
- Endress+Hauser
- FBK - ICT center
- Faasos
- Fordeal
- GfK Data Lab
- Grassroot
- Hostnfly
- HuiShouBao
- Intercom
- jampp
- Konfío
- Kuaishou
- Lime
- Living Goods
- Lyft
- Maieutical Labs
- Myra Labs
- Now
- PeopleDoc
- Ona
- Pronto Tools
- QPID Health
- Qunar
- Scoot
- ScopeAI
- Shopee
- Shopkick
- source{d}
- Steamroot
- Showmax
- Tails.com
- Tenable
- THEICONIC
- Tobii
- Tooploox
- TrustMedis
- Udemy
- VIPKID
- WeSure
- Windsor.ai
- Yahoo!
- Zaihang
- Zalando