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157 lines
5.3 KiB
Markdown
157 lines
5.3 KiB
Markdown
Dashed
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=========
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[](https://badge.fury.io/py/dashed)
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[](https://coveralls.io/github/airbnb/dashed?branch=master)
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[](https://landscape.io/github/airbnb/dashed/master)
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[](https://requires.io/github/airbnb/dashed/requirements/?branch=master)
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[](https://gitter.im/airbnb/dashed?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
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Dashed 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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Video - Introduction to Dashed
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---------------------------------
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[](http://www.youtube.com/watch?v=3Txm_nj_R7M)
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Screenshots
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------------
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Dashed
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---------
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Dashed's main goal is to make it easy to slice, dice and visualize data.
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It empowers its user to perform **analytics at the speed of thought**.
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Dashed provides:
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* A quick way to intuitively visualize datasets
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* Create 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 AppBuiler)
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* A simple semantic layer, allowing to control how data sources are
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displayed in the UI,
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by defining which fields should show up in which dropdown and which
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aggregation and function (metrics) are made available to the user
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* Deep integration with Druid allows for Dashed to stay blazing fast while
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slicing and dicing large, realtime datasets
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Database Support
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----------------
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Dashed was originally designed on to 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
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------------
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Dashed is currently only tested using Python 2.7.*. Python 3 support is
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on the roadmap, Python 2.6 won't be supported.
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Follow these few simple steps to install Dashed.
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```
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# Install dashed
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pip install dashed
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# Create an admin user
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fabmanager create-admin --app dashed
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# Initialize the database
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dashed db upgrade
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# Create default roles and permissions
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dashed init
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# Load some data to play with
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dashed load_examples
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# Start the development web server
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dashed runserver -d
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```
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After installation, you should be able to point your browser to the right
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hostname:port [http://localhost:8088](http://localhost:8088), login using
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the credential you entered while creating the admin account, and navigate to
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`Menu -> Admin -> Refresh Metadata`. This action should bring in all of
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your datasources for Dashed to be aware of, and they should show up in
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`Menu -> Datasources`, from where you can start playing with your data!
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Configuration
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=======
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[most common databases](http://docs.sqlalchemy.org/en/rel_1_0/core/engines.html).
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Installation & Configuration
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----------------------------
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(See in the documentation)
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[http://mistercrunch.github.io/panoramix-docs/installation.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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More screenshots
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----------------
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Related Links
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-------------
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* [Dashed Google Group] (https://groups.google.com/forum/#!forum/airbnb_dashed)
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* [Gitter (live chat) Channel](https://gitter.im/airbnb/dashed)
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Tip of the Hat
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--------------
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Dashed 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 library out there
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* Much more, check out the requirements.txt 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/dashed/blob/master/CONTRIBUTING.md)
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