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apache / superset / refs/tags/1.0.1rc2
commitc9a755f2536f23fcba95fd16c264079205f1a951[log] [tgz]
authorVille Brofeldt <ville.v.brofeldt@gmail.com>Tue Feb 02 19:47:34 2021 +0200
committerVille Brofeldt <ville.v.brofeldt@gmail.com>Tue Feb 02 19:47:34 2021 +0200
tree448727d3366bce2c5b6fdb993ec5e5017646e5f3
parent4b8f54dfa1eb276a72cd8f2d404a3f7c59af581f [diff]
update changelog for rc2 cherries
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README.md

Superset

License GitHub release (latest SemVer) Build Status PyPI version Coverage Status PyPI Get on Slack Documentation Dependencies Status

A modern, enterprise-ready business intelligence web application.

Why Superset? | Supported Databases | Installation and Configuration | Release Notes | Get Involved | Contributor Guide | Resources | Organizations Using Superset

Screenshots & Gifs

Gallery


View Dashboards


Slice & dice your data


Query and visualize your data with SQL Lab


Visualize geospatial data with deck.gl


Choose from a wide array of visualizations


Why Superset?

Superset provides:

  • An intuitive interface for visualizing datasets and crafting interactive dashboards
  • A wide array of beautiful visualizations to showcase your data
  • Code-free visualization builder to extract and present datasets
  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
  • Out-of-the-box support for most SQL-speaking databases
  • Seamless, in-memory asynchronous caching and queries
  • An extensible security model that allows configuration of very intricate rules on on who can access which product features and datasets.
  • Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
  • The ability to add custom visualization plugins
  • An API for programmatic customization
  • A cloud-native archiecture designed from the ground up for scale

Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.

Here are some of the major database solutions that are supported:

A more comprehensive list of supported databases along with the configuration instructions can be found here.

Want to add support for your datastore or data engine? Read more here about the technical requirements.

Installation and Configuration

Extended documentation for Superset

Get Involved

Contributor Guide

Interested in contributing? Check out our CONTRIBUTING.md to find resources around contributing along with a detailed guide on how to set up a development environment.

Resources