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Superset
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=========
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< img src = "http://i.imgur.com/H0Kyvyi.jpg" style = "border-radius: 20px; box-shadow:5px 5px 5px gray;" alt = "Superset" width = "500" / >
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Superset is a data exploration platform designed to be visual, intuitive
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and interactive.
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[this project used to be named **Panoramix** ]
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Screenshots & Gifs
------------------
![img ](http://g.recordit.co/xFXSvaGUts.gif )
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---
![img ](http://g.recordit.co/uZggYOdR5g.gif )
---
![img ](http://g.recordit.co/U70FWLpLvh.gif )
---
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![img ](http://i.imgur.com/x8t30YU.png )
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---
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![img ](http://i.imgur.com/DRCnbq6.png )
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Superset
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---------
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Superset's main goal is to make it easy to slice, dice and visualize data.
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It empowers users to perform **analytics at the speed of thought** .
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Superset provides:
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* A quick way to intuitively visualize datasets by allowing users to create
and share interactive dashboards
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* A rich set of visualizations to analyze your data, as well as a flexible
way to extend the capabilities
* An extensible, high granularity security model allowing intricate rules
on who can access which features, and integration with major
authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER
through Flask AppBuiler)
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* A simple semantic layer, allowing to control how data sources are
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displayed in the UI, by defining which fields should show up in
which dropdown and which aggregation and function (metrics) are
made available to the user
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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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Superset was originally designed on top of Druid.io, but quickly broadened
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its scope to support other databases through the use of 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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What is Druid?
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-------------
From their website at http://druid.io
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*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
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power analytic dashboards and applications.*
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Installation & Configuration
----------------------------
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[See in the documentation ](http://airbnb.io/superset/installation.html )
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More screenshots
----------------
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![img ](http://i.imgur.com/SAhDJCI.png )
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---
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![img ](http://i.imgur.com/iuLpv1c.png )
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---
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![img ](http://i.imgur.com/V2FWeZx.png )
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---
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![img ](http://i.imgur.com/BeUtCzF.png )
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---
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![img ](http://i.imgur.com/phoY7jI.png )
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---
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![img ](http://i.imgur.com/NvIDgdC.png )
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---
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![img ](http://i.imgur.com/DzwYyns.png )
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Resources
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-------------
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* [Superset Google Group ](https://groups.google.com/forum/#!forum/airbnb_superset )
* [Gitter (live chat) Channel ](https://gitter.im/airbnb/superset )
* [Docker image 1 ](https://hub.docker.com/r/kochalex/superset/ )
[Docker image 2 ](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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Tip of the Hat
--------------
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Superset would not be possible without these great frameworks / libs
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* Flask App Builder - Allowing us to focus on building the app quickly while
getting the foundation for free
* The Flask ecosystem - Simply amazing. So much Plug, easy play.
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* NVD3 - One of the best charting libraries out there
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* Much more, check out the `install_requires` section in the [setup.py ](https://github.com/airbnb/superset/blob/master/setup.py ) file!
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Contributing
------------
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Interested in contributing? Casual hacking? Check out [Contributing.MD ](https://github.com/airbnb/superset/blob/master/CONTRIBUTING.md )