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https://github.com/apache/superset

Apache Superset is a Data Visualization and Data Exploration Platform
https://github.com/apache/superset

analytics apache apache-superset asf bi business-analytics business-intelligence data-analysis data-analytics data-engineering data-science data-visualization data-viz flask python react sql-editor superset

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Apache Superset is a Data Visualization and Data Exploration Platform

Lists

README 

        



# Superset



[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

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[![Coverage Status](https://codecov.io/github/apache/superset/coverage.svg?branch=master)](https://codecov.io/github/apache/superset)

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[![Get on Slack](https://img.shields.io/badge/slack-join-orange.svg)](http://bit.ly/join-superset-slack)

[![Documentation](https://img.shields.io/badge/docs-apache.org-blue.svg)](https://superset.apache.org)



  

  Superset logo (light)



A modern, enterprise-ready business intelligence web application.



[**Why Superset?**](#why-superset) |

[**Supported Databases**](#supported-databases) |

[**Installation and Configuration**](#installation-and-configuration) |

[**Release Notes**](RELEASING/README.md#release-notes-for-recent-releases) |

[**Get Involved**](#get-involved) |

[**Contributor Guide**](#contributor-guide) |

[**Resources**](#resources) |

[**Organizations Using Superset**](RESOURCES/INTHEWILD.md)



## Why Superset?



Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.



Superset provides:



- A **no-code interface** for building charts quickly

- A powerful, web-based **SQL Editor** for advanced querying

- A **lightweight semantic layer** for quickly defining custom dimensions and metrics

- Out of the box support for **nearly any SQL** database or data engine

- A wide array of **beautiful visualizations** to showcase your data, ranging from simple bar charts to geospatial visualizations

- Lightweight, configurable **caching layer** to help ease database load

- Highly extensible **security roles and authentication** options

- An **API** for programmatic customization

- A **cloud-native architecture** designed from the ground up for scale



## Screenshots & Gifs



**Video Overview**



https://user-images.githubusercontent.com/64562059/234390129-321d4f35-cb4b-45e8-89d9-20ae292f34fc.mp4







**Large Gallery of Visualizations**







**Craft Beautiful, Dynamic Dashboards**







**No-Code Chart Builder**







**Powerful SQL Editor**







## Supported Databases



Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, [and more](https://superset.apache.org/docs/databases/installing-database-drivers/)) that has a Python DB-API driver and a SQLAlchemy dialect.



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





  redshift

  google-biquery

  snowflake

  trino

  presto

  databricks

  druid

  firebolt

  timescale

  rockset

  postgresql

  mysql

  mssql-server

  db2

  sqlite

  sybase

  mariadb

  vertica

  oracle

  firebird

  greenplum

  clickhouse

  exasol

  monet-db

  apache-kylin

  hologres

  netezza

  pinot

  teradata

  yugabyte

  databend

  starrocks

  doris




**A more comprehensive list of supported databases** along with the configuration instructions can be found [here](https://superset.apache.org/docs/databases/installing-database-drivers).



Want to add support for your datastore or data engine? Read more [here](https://superset.apache.org/docs/frequently-asked-questions#does-superset-work-with-insert-database-engine-here) about the technical requirements.



## Installation and Configuration



[Extended documentation for Superset](https://superset.apache.org/docs/installation/installing-superset-using-docker-compose)



## Get Involved



- Ask and answer questions on [StackOverflow](https://stackoverflow.com/questions/tagged/apache-superset) using the **apache-superset** tag

- [Join our community's Slack](http://bit.ly/join-superset-slack)

  and please read our [Slack Community Guidelines](https://github.com/apache/superset/blob/master/CODE_OF_CONDUCT.md#slack-community-guidelines)

- [Join our [email protected] Mailing list](https://lists.apache.org/[email protected]). To join, simply send an email to [[email protected]](mailto:[email protected])

- If you want to help troubleshoot GitHub Issues involving the numerous database drivers that Superset supports, please consider adding your name and the databases you have access to on the [Superset Database Familiarity Rolodex](https://docs.google.com/spreadsheets/d/1U1qxiLvOX0kBTUGME1AHHi6Ywel6ECF8xk_Qy-V9R8c/edit#gid=0)

- Join Superset's Town Hall and [Operational Model](https://preset.io/blog/the-superset-operational-model-wants-you/) recurring meetings.  Meeting info is available on the [Superset Community Calendar](https://superset.apache.org/community)



## Contributor Guide



Interested in contributing? Check out our

[CONTRIBUTING.md](https://github.com/apache/superset/blob/master/CONTRIBUTING.md)

to find resources around contributing along with a detailed guide on

how to set up a development environment.



## Resources



- [Superset "In the Wild"](RESOURCES/INTHEWILD.md) - open a PR to add your org to the list!

- [Feature Flags](RESOURCES/FEATURE_FLAGS.md) - the status of Superset's Feature Flags.

- [Standard Roles](RESOURCES/STANDARD_ROLES.md) - How RBAC permissions map to roles.

- [Superset Wiki](https://github.com/apache/superset/wiki) - Tons of additional community resources: best practices, community content and other information.

- [Superset SIPs](https://github.com/orgs/apache/projects/170) - The status of Superset's SIPs (Superset Improvement Proposals) for both consensus and implementation status.



Superset 2.0!

- [Superset 2.0 Meetup](https://preset.io/events/superset-2-0-meetup/)

- [Superset 2.0 Release Notes](https://github.com/apache/superset/tree/master/RELEASING/release-notes-2-0)



Understanding the Superset Points of View

- [The Case for Dataset-Centric Visualization](https://preset.io/blog/dataset-centric-visualization/)

- [Understanding the Superset Semantic Layer](https://preset.io/blog/understanding-superset-semantic-layer/)



- Getting Started with Superset

  - [Superset in 2 Minutes using Docker Compose](https://superset.apache.org/docs/installation/installing-superset-using-docker-compose#installing-superset-locally-using-docker-compose)

  - [Installing Database Drivers](https://superset.apache.org/docs/databases/docker-add-drivers/)

  - [Building New Database Connectors](https://preset.io/blog/building-database-connector/)

  - [Create Your First Dashboard](https://superset.apache.org/docs/creating-charts-dashboards/first-dashboard)

  - [Comprehensive Tutorial for Contributing Code to Apache Superset

  ](https://preset.io/blog/tutorial-contributing-code-to-apache-superset/)

- [Resources to master Superset by Preset](https://preset.io/resources/)



- Deploying Superset

  - [Official Docker image](https://hub.docker.com/r/apache/superset)

  - [Helm Chart](https://github.com/apache/superset/tree/master/helm/superset)



- Recordings of Past [Superset Community Events](https://preset.io/events)

  - [Mixed Time Series Charts](https://preset.io/events/mixed-time-series-visualization-in-superset-workshop/)

  - [How the Bing Team Customized Superset for the Internal Self-Serve Data & Analytics Platform](https://preset.io/events/how-the-bing-team-heavily-customized-superset-for-their-internal-data/)

  - [Live Demo: Visualizing MongoDB and Pinot Data using Trino](https://preset.io/events/2021-04-13-visualizing-mongodb-and-pinot-data-using-trino/)

	- [Introduction to the Superset API](https://preset.io/events/introduction-to-the-superset-api/)

	- [Building a Database Connector for Superset](https://preset.io/events/2021-02-16-building-a-database-connector-for-superset/)



- Visualizations

  - [Creating Viz Plugins](https://superset.apache.org/docs/contributing/creating-viz-plugins/)

  - [Managing and Deploying Custom Viz Plugins](https://medium.com/nmc-techblog/apache-superset-manage-custom-viz-plugins-in-production-9fde1a708e55)

  - [Why Apache Superset is Betting on Apache ECharts](https://preset.io/blog/2021-4-1-why-echarts/)



- [Superset API](https://superset.apache.org/docs/rest-api)