c78d3682ac
* Use react-grid-layout instead of gridster * visualizations show and resize * display slice name and description; links work * positioning of widgets to match gridster, rowHeight matches * Change margins, rowHeight, unpositioned viz, and expandedSlices to match gridster * Saving dashboard, deleting slices, formatting on slices (chart control and resize handle), expanded slices fixed. * responsiveness + use es6 classes * Minor ui fixes + linting * CSS transforms on slices messes up nvd3 tooltip positioning. Turn off CSS transforms for the time being, with a cost of painting speed. Issue is currently being looked at on the nvd3 repo PR: https://github.com/novus/nvd3/pull/1674 * Remove breakpoint listener, fires when it shouldn't (i.e. too often) * resize is no longer buggy, minor cleanup * gridster class, const, landscape error * one source of data for data to front end from python |
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| babel | ||
| caravel | ||
| docs | ||
| tests | ||
| .coveralls.yml | ||
| .gitignore | ||
| .landscape.yml | ||
| .travis.yml | ||
| CHANGELOG.md | ||
| CONTRIBUTING.md | ||
| INTHEWILD.md | ||
| LICENSE.txt | ||
| MANIFEST.in | ||
| README.md | ||
| TODO.md | ||
| alembic.ini | ||
| dev-reqs.txt | ||
| pypi_push.sh | ||
| run_tests.sh | ||
| setup.cfg | ||
| setup.py | ||
README.md
Caravel
Caravel is a data exploration platform designed to be visual, intuitive and interactive.
[this project used to be named Panoramix]
Video - Introduction to Caravel
Screenshots
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
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