Apache Superset is a Data Visualization and Data Exploration Platform
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George Ke 57ebb2bacf Map visualization (#650)
* simple mapbox viz

use react-map-gl

superclustering of long/lat points

Added hook for map style, huge performance boost from bounding box fix, added count text on clusters

variable gradient size based on metric count

Ability to aggregate over any point property

This needed a change in the supercluster npm module, a PR was placed here:
https://github.com/mapbox/supercluster/pull/12

Aggregator function option in explore, tweaked visual defaults

better radius size management

clustering radius, point metric/unit options

scale cluster labels that don't fit, non-numeric labels for points

Minor fixes, label field affects points, text changes

serve mapbox apikey for slice

global opacity, viewport saves (hacky), bug in point labels

fixing mapbox-gl dependency

mapbox_api_key in config

expose row_limit, fix minor bugs

Add renderWhileDragging flag, groupby. Only show numerical columns for point radius

Implicitly group by lng/lat columns and error when label doesn't match groupby

'Fix' radius in miles problem, still some jankiness

derived fields cannot be typed as of now -> reverting numerical number change

better grouping error checking, expose count(*) for labelling

Custom colour for clusters/points + smart text colouring

Fixed bad positioning and overflow in explore view + small bugs + added thumbnail

* landscaping & eslint & use izip

* landscapin'

* address js code review
2016-06-24 14:16:51 -07:00
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README.md

Caravel

Caravel

Build Status PyPI version Coverage Status Code Health PyPI Requirements Status Join the chat at https://gitter.im/airbnb/caravel Documentation

Caravel is a data exploration platform designed to be visual, intuitive and interactive.

[this project used to be named Panoramix]

Video - Introduction to Caravel

Caravel -

Screenshots

img img

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

See in the documentation

More screenshots

img img img img img img

Resources

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_requires section in the setup.py file!

Contributing

Interested in contributing? Casual hacking? Check out Contributing.MD