superset/README.md

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Superset
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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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[![Documentation](https://img.shields.io/badge/docs-apache.org-blue.svg)](https://superset.incubator.apache.org)
[![dependencies Status](https://david-dm.org/apache/incubator-superset/status.svg?path=superset-frontend)](https://david-dm.org/apache/incubator-superset?path=superset-frontend)
<img
src="https://cloud.githubusercontent.com/assets/130878/20946612/49a8a25c-bbc0-11e6-8314-10bef902af51.png"
alt="Superset"
width="500"
/>
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**Apache Superset** (incubating) is a modern, enterprise-ready
business intelligence web application
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Screenshots & Gifs
------------------
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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-frontend/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-frontend/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-frontend/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-frontend/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-frontend/images/screenshots/visualizations.png"></kbd><br/>
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Apache Superset
---------------
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
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.
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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.
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
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slicing and dicing large, realtime datasets
* Fast loading dashboards with configurable caching
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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
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[here](https://superset.incubator.apache.org/#databases).
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Installation & Configuration
----------------------------
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[See in the documentation](https://superset.incubator.apache.org/installation.html)
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Resources
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-------------
* [Mailing list](https://lists.apache.org/list.html?dev@superset.apache.org)
* [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)
* [Join our Slack](https://join.slack.com/t/apache-superset/shared_invite/enQtNDMxMDY5NjM4MDU0LWJmOTcxYjlhZTRhYmEyYTMzOWYxOWEwMjcwZDZiNWRiNDY2NDUwNzcwMDFhNzE1ZmMxZTZlZWY0ZTQ2MzMyNTU)
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Contributing
------------
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Interested in contributing? Casual hacking? Check out
[Contributing.MD](https://github.com/apache/superset/blob/master/CONTRIBUTING.md)
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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!
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1. [6play](https://www.6play.fr)
1. [AiHello](https://www.aihello.com)
1. [Airbnb](https://github.com/airbnb)
1. [Airboxlab](https://foobot.io)
1. [Aktia Bank plc](https://www.aktia.com)
1. [American Express](https://www.americanexpress.com)
1. [Amino](https://amino.com)
1. [Apollo GraphQL](https://www.apollographql.com/)
1. [Ascendica Development](http://ascendicadevelopment.com)
1. [Astronomer](https://www.astronomer.io)
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1. [bilibili](https://www.bilibili.com)
1. [Brilliant.org](https://brilliant.org/)
1. [Capital Service S.A.](http://capitalservice.pl)
1. [Clark.de](http://clark.de/)
1. [Cloudsmith](https://cloudsmith.io)
1. [CnOvit](http://www.cnovit.com/)
1. [Deepomatic](https://deepomatic.com/)
1. [Dial Once](https://www.dial-once.com/en/)
1. [Digit Game Studios](https://www.digitgaming.com/)
1. [Douban](https://www.douban.com/)
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1. [Dragonpass](https://www.dragonpass.com.cn/)
1. [Endress+Hauser](http://www.endress.com/)
1. [Faasos](http://faasos.com/)
1. [Fanatics](https://www.fanatics.com)
1. [FBK - ICT center](http://ict.fbk.eu)
1. [Fordeal](http://www.fordeal.com)
1. [GFG - Global Fashion Group](https://global-fashion-group.com)
1. [GfK Data Lab](http://datalab.gfk.com)
1. [Grassroot](https://www.grassrootinstitute.org/)
1. [Hostnfly](https://www.hostnfly.com/)
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1. [HuiShouBao](http://www.huishoubao.com/)
1. [Intercom](https://www.intercom.com/)
1. [jampp](https://jampp.com/)
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1. [komoot](https://www.komoot.com/)
1. [Konfío](http://konfio.mx)
1. [Kuaishou](https://www.kuaishou.com/)
1. [Lime](https://www.limebike.com/)
1. [Living Goods](https://www.livinggoods.org)
1. [Lyft](https://www.lyft.com/)
1. [Maieutical Labs](https://maieuticallabs.it)
1. [Myra Labs](http://www.myralabs.com/)
1. [Now](https://www.now.vn/)
1. [Ona](https://ona.io)
1. [Peak AI](https://www.peak.ai/)
1. [PeopleDoc](https://www.people-doc.com)
1. [Popoko VM Games Studio](https://popoko.live)
1. [Preset, Inc.](https://preset.io)
1. [Pronto Tools](http://www.prontotools.io)
1. [PubNub](https://pubnub.com)
1. [QPID Health](http://www.qpidhealth.com/)
1. [Qunar](https://www.qunar.com/)
1. [Rakuten Viki](https://www.viki.com)
1. [Reward Gateway](https://www.rewardgateway.com)
1. [Safaricom](https://www.safaricom.co.ke/)
1. [Scoot](https://scoot.co/)
1. [ScopeAI](https://www.getscopeai.com)
1. [Shopee](https://shopee.sg)
1. [Shopkick](https://www.shopkick.com)
1. [Showmax](https://tech.showmax.com)
1. [source{d}](https://www.sourced.tech)
1. [Steamroot](https://streamroot.io/)
1. [Tails.com](https://tails.com)
1. [Tenable](https://www.tenable.com)
1. [THE ICONIC](http://theiconic.com.au/)
1. [timbr.ai](https://timbr.ai/)
1. [TME QQMUSIC/WESING](https://www.tencentmusic.com/)
1. [Tobii](http://www.tobii.com/)
1. [Tooploox](https://www.tooploox.com/)
1. [TrustMedis](https://trustmedis.com)
1. [Twitter](https://twitter.com/)
1. [Udemy](https://www.udemy.com/)
1. [VIPKID](https://www.vipkid.com.cn/)
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1. [WeSure](https://www.wesure.cn/)
1. [Windsor.ai](https://www.windsor.ai/)
1. [Yahoo!](https://yahoo.com/)
1. [Zaihang](http://www.zaih.com/)
1. [Zalando](https://www.zalando.com)
1. [Zalora](https://www.zalora.com)