Apache Superset is a Data Visualization and Data Exploration Platform

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Kamil Gabryjelski 557a303cc5 ESLint: Enable rule no-named-as-default (#10879 ) * Enable rule no-named-as-default * Fix wrong import		2020-09-18 13:41:01 -07:00
.github	Ignore '/docs' on some GH actions, give docs its own action (#10949 )	2020-09-18 12:23:48 -07:00
RELEASING	docs(new docs site): removes old sphinx doc site with gatsby (#10784 )	2020-09-11 22:59:12 -07:00
docker	fix: Updating Dockerfile to work with updated python requirements. (#10550 )	2020-08-08 18:56:20 -07:00
docs	docs: set up client-side redirects from previous era docs urls (#10921 )	2020-09-18 13:31:22 -07:00
helm/superset	chore: pre-commit run --all-files (#10500 )	2020-08-02 14:32:17 -07:00
requirements	refactor: ASF only dependencies on base.txt (#10875 )	2020-09-16 14:57:41 +01:00
scripts	Update FOSSA configuration for new requirements layout (#10848 )	2020-09-16 13:28:04 -07:00
superset	fix: several disabled pylint rules in models/helpers.py (#10909 )	2020-09-18 16:32:02 +01:00
superset-frontend	ESLint: Enable rule no-named-as-default (#10879 )	2020-09-18 13:41:01 -07:00
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README.md

Superset

A modern, enterprise-ready business intelligence web application.

Screenshots & Gifs

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 to explore and visualize datasets, and create interactive dashboards.
A wide array of beautiful visualizations to showcase your data.
Easy, code-free, user flows to drill down and slice and dice the data underlying exposed dashboards. The dashboards and charts act as a starting point for deeper analysis.
A state of the art SQL editor/IDE exposing a rich metadata browser, and an easy workflow to create visualizations out of any result set.
An extensible, high granularity security model allowing intricate rules on who can access which product features and datasets. Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, ...)
A lightweight semantic layer, allowing to control how data sources are exposed to the user by defining dimensions and metrics
Out of the box support for most SQL-speaking databases
Deep integration with Druid allows for Superset to stay blazing fast while slicing and dicing large, realtime datasets
Fast loading dashboards with configurable caching

Supported Databases

Superset speaks many SQL dialects through SQLAlchemy - a Python SQL toolkit that is compatible with most databases. Here are some of the major database solutions that are supported:

postgresql mysql mssql-server db2 mariadb oracle firebird exasol apache-kylin

A complete list of supported databases can be found here.

Installation and Configuration

See in the documentation

Get Involved

Ask and answer questions on StackOverflow
Join our community's Slack and please read our Slack Community Guidelines
Join our dev@superset.apache.org Mailing list

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.