38d3075554
* export functions directly rather than object at the bottom * move viztypes to controlPanelMappings, add fieldset rows and section data * for each viz type, render a controlPanelsContainer, controlPanelSections, FieldSetRows, and FieldsSets * add comments, move mappings to store * organize store and add default sections * render all the needed sections * add tooltip to sections * remove console log * use only panel panel-default, not panel-body, no need the padding * render fields for all fields in field set * add the rest of the control panel sections and field overrides * fix naming * add fieldTypes array * don't use default section * pass only needed state via mapStateToProps * fix code climate errors * linting * move field components to their own files * render field sets as lists * fix field components * use SFC * update modal trigger test to be more accurate * add FieldSetRow test * add test for controlpanelsContainer * fix test * make code climate happy * add freeform select field
Caravel
Caravel is a data exploration platform designed to be visual, intuitive and interactive.
[this project used to be named Panoramix]
Screenshots & Gifs
Caravel
Caravel's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.
Caravel provides:
- A quick way to intuitively visualize datasets by allowing users to create and share interactive dashboards
- 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)
- A simple semantic layer, allowing to control how data sources are 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
- Deep integration with Druid allows for Caravel to stay blazing fast while slicing and dicing large, realtime datasets
- Fast loading dashboards with configurable caching
Database Support
Caravel was originally designed on top 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.
What is Druid?
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.
Installation & Configuration
More screenshots
Resources
- Caravel Google Group
- Gitter (live chat) Channel
- Docker image 1 Docker image 2 (community contributed)
- Slides from Strata (March 2016)
Tip of the Hat
Caravel would not be possible without these great frameworks / libs
- 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.
- NVD3 - One of the best charting libraries out there
- Much more, check out the
install_requiressection in the setup.py file!
Contributing
Interested in contributing? Casual hacking? Check out Contributing.MD