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Description

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

[this project used to be named Caravel and Panoramix]

Code Quality Rank: L2
Programming language: Python
License: Apache License 2.0
Latest version: v0.38.0

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README

<!-- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

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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 | Get Help | Contributor Guide | Resources | [Superset Users](INTHEWILD.md)

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 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:


A complete list of supported databases can be found here.

Installation and Configuration

See in the documentation

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


*Note that all licence references and agreements mentioned in the Apache Superset README section above are relevant to that project's source code only.