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184 lines
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184 lines
7.3 KiB
Markdown
Superset
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=========
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[![Build Status](https://travis-ci.org/apache/incubator-superset.svg?branch=master)](https://travis-ci.org/apache/incubator-superset)
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[![PyPI version](https://badge.fury.io/py/superset.svg)](https://badge.fury.io/py/superset)
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[![Coverage Status](https://codecov.io/github/apache/incubator-superset/coverage.svg?branch=master)](https://codecov.io/github/apache/incubator-superset)
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[![PyPI](https://img.shields.io/pypi/pyversions/superset.svg?maxAge=2592000)](https://pypi.python.org/pypi/superset)
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[![Join the chat at https://gitter.im/airbnb/superset](https://badges.gitter.im/apache/incubator-superset.svg)](https://gitter.im/airbnb/superset?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
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[![Documentation](https://img.shields.io/badge/docs-apache.org-blue.svg)](https://superset.incubator.apache.org)
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[![dependencies Status](https://david-dm.org/apache/incubator-superset/status.svg?path=superset/assets)](https://david-dm.org/apache/incubator-superset?path=superset/assets)
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<img
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src="https://cloud.githubusercontent.com/assets/130878/20946612/49a8a25c-bbc0-11e6-8314-10bef902af51.png"
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alt="Superset"
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width="500"
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/>
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**Apache Superset** (incubating) is a modern, enterprise-ready
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business intelligence web application
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[this project used to be named **Caravel**, and **Panoramix** in the past]
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Screenshots & Gifs
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------------------
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**View Dashboards**
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<kbd><img title="View Dashboards" src="https://raw.githubusercontent.com/apache/incubator-superset/master/superset/assets/images/screenshots/bank_dash.png"></kbd><br/>
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**Slice & dice your data**
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<kbd><img title="Slice & dice your data" src="https://raw.githubusercontent.com/apache/incubator-superset/master/superset/assets/images/screenshots/explore.png"></kbd><br/>
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**Query and visualize your data with SQL Lab**
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<kbd><img title="SQL Lab" src="https://raw.githubusercontent.com/apache/incubator-superset/master/superset/assets/images/screenshots/sqllab.png"></kbd><br/>
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**Visualize geospatial data with deck.gl**
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<kbd><img title="Geospatial" src="https://raw.githubusercontent.com/apache/incubator-superset/master/superset/assets/images/screenshots/deckgl_dash.png"></kbd><br/>
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**Choose from a wide array of visualizations**
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<kbd><img title="Visualizations" src="https://raw.githubusercontent.com/apache/incubator-superset/master/superset/assets/images/screenshots/visualizations.png"></kbd><br/>
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Apache Superset
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---------------
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Apache Superset is a data exploration and visualization web application.
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Superset provides:
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* An intuitive interface to explore and visualize datasets, and
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create interactive dashboards.
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* A wide array of beautiful visualizations to showcase your data.
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* Easy, code-free, user flows to drill down and slice and dice the data
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underlying exposed dashboards. The dashboards and charts acts as a starting
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point for deeper analysis.
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* A state of the art SQL editor/IDE exposing a rich metadata browser, and
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an easy workflow to create visualizations out of any result set.
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* An extensible, high granularity security model allowing intricate rules
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on who can access which product features and datasets.
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Integration with major
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authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, ...)
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* A lightweight semantic layer, allowing to control how data sources are
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exposed to the user by defining dimensions and metrics
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* Out of the box support for most SQL-speaking databases
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* Deep integration with Druid allows for Superset to stay blazing fast while
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slicing and dicing large, realtime datasets
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* Fast loading dashboards with configurable caching
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Database Support
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----------------
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Superset speaks many SQL dialects through SQLAlchemy, a Python
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ORM that is compatible with
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[most common databases](http://docs.sqlalchemy.org/en/rel_1_0/core/engines.html).
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Superset can be used to visualize data out of most databases:
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* MySQL
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* Postgres
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* Vertica
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* Oracle
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* Microsoft SQL Server
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* SQLite
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* Greenplum
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* Firebird
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* MariaDB
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* Sybase
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* IBM DB2
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* Exasol
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* MonetDB
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* Snowflake
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* Redshift
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* **more!** look for the availability of a SQLAlchemy dialect for your database
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to find out whether it will work with Superset
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Druid!
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------
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On top of having the ability to query your relational databases,
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Superset ships with deep integration with Druid (a real time distributed
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column-store). When querying Druid,
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Superset can query humongous amounts of data on top of real time dataset.
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Note that Superset does not require Druid in any way to function, it's simply
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another database backend that it can query.
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Here's a description of Druid from the http://druid.io website:
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*Druid is an open-source analytics data store designed for
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business intelligence (OLAP) queries on event data. Druid provides low
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latency (real-time) data ingestion, flexible data exploration,
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and fast data aggregation. Existing Druid deployments have scaled to
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trillions of events and petabytes of data. Druid is best used to
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power analytic dashboards and applications.*
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Installation & Configuration
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----------------------------
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[See in the documentation](https://superset.incubator.apache.org/installation.html)
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Resources
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-------------
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* [Mailing list](https://lists.apache.org/list.html?dev@superset.apache.org)
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* [Gitter (live chat) Channel](https://gitter.im/airbnb/superset)
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* [Docker image](https://hub.docker.com/r/amancevice/superset/) (community contributed)
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* [Slides from Strata (March 2016)](https://drive.google.com/open?id=0B5PVE0gzO81oOVJkdF9aNkJMSmM)
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* [Stackoverflow tag](https://stackoverflow.com/questions/tagged/apache-superset)
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* [DEPRECATED Google Group](https://groups.google.com/forum/#!forum/airbnb_superset)
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Contributing
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------------
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Interested in contributing? Casual hacking? Check out
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[Contributing.MD](https://github.com/airbnb/superset/blob/master/CONTRIBUTING.md)
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Who uses Apache Superset (incubating)?
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--------------------------------------
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Here's a list of organizations who have taken the time to send a PR to let
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the world know they are using Superset. Join our growing community!
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- [AiHello](https://www.aihello.com)
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- [Airbnb](https://github.com/airbnb)
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- [Airboxlab](https://foobot.io)
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- [Aktia Bank plc](https://www.aktia.com)
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- [Amino](https://amino.com)
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- [Ascendica Development](http://ascendicadevelopment.com)
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- [Astronomer](https://www.astronomer.io)
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- [Brilliant.org](https://brilliant.org/)
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- [Capital Service S.A.](http://capitalservice.pl)
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- [Clark.de](http://clark.de/)
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- [Digit Game Studios](https://www.digitgaming.com/)
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- [Douban](https://www.douban.com/)
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- [Endress+Hauser](http://www.endress.com/)
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- [FBK - ICT center](http://ict.fbk.eu)
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- [Faasos](http://faasos.com/)
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- [GfK Data Lab](http://datalab.gfk.com)
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- [Konfío](http://konfio.mx)
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- [Lyft](https://www.lyft.com/)
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- [Maieutical Labs](https://cloudschooling.it)
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- [PeopleDoc](https://www.people-doc.com)
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- [Ona](https://ona.io)
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- [Pronto Tools](http://www.prontotools.io)
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- [Qunar](https://www.qunar.com/)
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- [ScopeAI](https://www.getscopeai.com)
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- [Shopee](https://shopee.sg)
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- [Shopkick](https://www.shopkick.com)
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- [Tails.com](https://tails.com)
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- [Tobii](http://www.tobii.com/)
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- [Tooploox](https://www.tooploox.com/)
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- [Twitter](https://twitter.com/)
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- [Udemy](https://www.udemy.com/)
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- [VIPKID](https://www.vipkid.com.cn/)
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- [Windsor.ai](https://www.windsor.ai/)
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- [Yahoo!](https://yahoo.com/)
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- [Zaihang](http://www.zaih.com/)
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- [Zalando](https://www.zalando.com)
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