149 lines
6.6 KiB
Markdown
149 lines
6.6 KiB
Markdown
Superset
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=========
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[](https://travis-ci.org/airbnb/superset)
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[](https://badge.fury.io/py/superset)
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[](https://coveralls.io/github/airbnb/superset?branch=master)
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[](https://codeclimate.com/github/airbnb/superset/coverage)
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[](https://landscape.io/github/airbnb/superset/master)
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[](https://codeclimate.com/github/airbnb/superset)
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[](https://pypi.python.org/pypi/superset)
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[](https://requires.io/github/airbnb/superset/requirements/?branch=master)
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[](https://gitter.im/airbnb/superset?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
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[](http://airbnb.io/superset/)
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[](https://david-dm.org/airbnb/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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**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 **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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<br/>
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**View/Edit a Slice**
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<br/>
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**Query and Visualize with SQL Lab**
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<br/>
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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
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and share interactive dashboards
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* A rich set of visualizations to analyze your data, as well as a flexible
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way to extend the capabilities
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* An extensible, high granularity security model allowing intricate rules
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on who can access which features, and integration with major
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authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER
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through Flask AppBuilder)
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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
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which dropdown and which aggregation and function (metrics) are
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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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----------------
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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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-------------
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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
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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](http://airbnb.io/superset/installation.html)
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More screenshots
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----------------
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Resources
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-------------
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* [Superset Google Group](https://groups.google.com/forum/#!forum/airbnb_superset)
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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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Tip of the Hat
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--------------
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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
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getting the foundation for free
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* 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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------------
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Interested in contributing? Casual hacking? Check out [Contributing.MD](https://github.com/airbnb/superset/blob/master/CONTRIBUTING.md)
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