0e93a94ae4
* move into folder and scaffold adaptor * extract width and height * remove jquery * extract showBrush * extract lineInterpolation * extract xAxisFormat and yAxisFormat * extract annotationData * extract xTicksLayout and colorScheme * extract showXXX * extract x and y axis labels * extract showminmax * extract pie chart props * extract area chart props * extract logscale and yAxisBounds * extract margin * extract bubble props x,y,size * extract contribution, comparisonType and color_picker * remove the last fd.xxx * remove unnecessary variables * remove slice.container * fix unit test reference * Rewrite logic to compute max label lengths to use only d3, not jquery. * extract annotationLayers and no more slice.xxx in nvd3vis * rename x, y, size to xField, yField, sizeField * use arrow function * move tooltip function * extract helper functions into utils * remove unused argument * fix height calculation and show bar labels * rename function * update unit test * organize tooltip generator * update line_multi * Add proptypes for data * list proptypes for data * extract tooltip function for bubble chart * rename variables * remove console.log * enumerate vizTypes and pieLabelType * parse maxBubble * use new color scale * fix import" * remove line |
||
|---|---|---|
| contrib/docker | ||
| docs | ||
| install/helm/superset | ||
| scripts | ||
| superset | ||
| tests | ||
| .gitignore | ||
| .pylintrc | ||
| .travis.yml | ||
| alembic.ini | ||
| babel-node | ||
| CHANGELOG.md | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| gen_changelog.sh | ||
| ISSUE_TEMPLATE.md | ||
| LICENSE.txt | ||
| MANIFEST.in | ||
| pypi_push.sh | ||
| README.md | ||
| requirements-dev.txt | ||
| requirements.txt | ||
| setup.cfg | ||
| setup.py | ||
| tox.ini | ||
| UPDATING.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.
Superset can be used to visualize data out of most databases:
- MySQL
- Postgres
- Vertica
- Oracle
- Microsoft SQL Server
- SQLite
- Greenplum
- Firebird
- MariaDB
- Sybase
- IBM DB2
- Exasol
- MonetDB
- Snowflake
- Redshift
- Clickhouse
- Apache Kylin
- more! look for the availability of a SQLAlchemy dialect for your database to find out whether it will work with Superset
Druid!
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!
- AiHello
- Airbnb
- Airboxlab
- Aktia Bank plc
- Amino
- Ascendica Development
- Astronomer
- Brilliant.org
- Capital Service S.A.
- Clark.de
- CnOvit
- Digit Game Studios
- Douban
- Endress+Hauser
- FBK - ICT center
- Faasos
- GfK Data Lab
- Konfío
- Lime
- Lyft
- Maieutical Labs
- [Myra Labs] (http://www.myralabs.com/)
- PeopleDoc
- Ona
- Pronto Tools
- Qunar
- ScopeAI
- Shopee
- Shopkick
- Tails.com
- THEICONIC
- Tobii
- Tooploox
- Udemy
- VIPKID
- Windsor.ai
- Yahoo!
- Zaihang
- Zalando