| commit | d5487c6b25b8680d9a70525528a2937122f168d5 | [log] [tgz] |
|---|---|---|
| author | Maxime Beauchemin <maximebeauchemin@gmail.com> | Wed Mar 23 14:11:03 2016 -0700 |
| committer | Maxime Beauchemin <maximebeauchemin@gmail.com> | Wed Mar 23 14:11:37 2016 -0700 |
| tree | cb31c75726f461422b2fae3c610cbdd651b7c5bb | |
| parent | a244f3aafb8b3e8c29e7cd62743156e6b17f6c6c [diff] |
0.8.3
Dashed is a data exploration platform designed to be visual, intuitive and interactive.
[this project used to be named Panoramix]
Dashed's main goal is to make it easy to slice, dice and visualize data. It empowers its user to perform analytics at the speed of thought.
Dashed provides:
Dashed was originally designed on to of Druid.io, but quickly broadened its scope to support other databases through the use of SqlAlchemy, a Python ORM that is compatible with most common databases.
From their website at http://druid.io
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 power analytic dashboards and applications.
Dashed is currently only tested using Python 2.7.*. Python 3 support is on the roadmap, Python 2.6 won't be supported.
Follow these few simple steps to install Dashed.
# Install dashed pip install dashed # Create an admin user fabmanager create-admin --app dashed # Initialize the database dashed db upgrade # Create default roles and permissions dashed init # Load some data to play with dashed load_examples # Start the development web server dashed runserver -d
After installation, you should be able to point your browser to the right hostname:port http://localhost:8088, login using the credential you entered while creating the admin account, and navigate to Menu -> Admin -> Refresh Metadata. This action should bring in all of your datasources for Dashed to be aware of, and they should show up in Menu -> Datasources, from where you can start playing with your data!
(See in the documentation) [http://mistercrunch.github.io/panoramix-docs/installation.html]
From their website at http://druid.io
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 power analytic dashboards and applications.
Dashed would not be possible without these great frameworks / libs
Interested in contributing? Casual hacking? Check out Contributing.MD