Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

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

Last synced: 1 day ago
JSON representation

Apache Superset is a Data Visualization and Data Exploration Platform

Host: GitHub
URL: https://github.com/apache/superset
Owner: apache
License: apache-2.0
Created: 2015-07-21T18:55:34.000Z (over 9 years ago)
Default Branch: master
Last Pushed: 2024-10-29T14:22:20.000Z (4 months ago)
Last Synced: 2024-10-29T15:11:22.515Z (4 months ago)
Topics: 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
Language: TypeScript
Homepage: https://superset.apache.org/
Size: 884 MB
Stars: 62,484
Watchers: 1,514
Forks: 13,749
Open Issues: 1,034
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS
- Security: .github/SECURITY.md

Awesome Lists containing this project

awesome - apache/superset - Apache Superset is a Data Visualization and Data Exploration Platform (TypeScript)
awesome-platforms - Python | React
awesome-repositories - apache/superset - Apache Superset is a Data Visualization and Data Exploration Platform (TypeScript)
awesome-starred - superset - Apache Superset is a Data Visualization and Data Exploration Platform (Python)
awesome-starts - apache/superset - Apache Superset is a Data Visualization and Data Exploration Platform (Python)
stars - apache/superset - Apache Superset is a Data Visualization and Data Exploration Platform (TypeScript)
awesome-list - superset
awesome-dataops - Apache Superset - A modern data exploration and data visualization platform. (Data Visualization / Data Table Format)
AiTreasureBox - apache/superset - 02-13_64405_18](https://img.shields.io/github/stars/apache/superset.svg)|Apache Superset is a Data Visualization and Data Exploration Platform| (Repos)
awesome-production-machine-learning - Apache Superset - A modern, enterprise-ready business intelligence web application. (Industry Strength Visualisation)
awesome-starred - apache/superset - Apache Superset is a Data Visualization and Data Exploration Platform (data-visualization)
jimsghstars - apache/superset - Apache Superset is a Data Visualization and Data Exploration Platform (TypeScript)

README

        

# Superset

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/license/apache-2-0)

[![GitHub release (latest SemVer)](https://img.shields.io/github/v/release/apache/superset?sort=semver)](https://github.com/apache/superset/tree/latest)

[![Build Status](https://github.com/apache/superset/workflows/Python/badge.svg)](https://github.com/apache/superset/actions)

[![PyPI version](https://badge.fury.io/py/apache-superset.svg)](https://badge.fury.io/py/apache-superset)

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

[![PyPI](https://img.shields.io/pypi/pyversions/apache-superset.svg?maxAge=2592000)](https://pypi.python.org/pypi/apache-superset)

[![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)

  

  

A modern, enterprise-ready business intelligence web application.

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

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

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

[**Release Notes**](https://github.com/apache/superset/blob/master/RELEASING/README.md#release-notes-for-recent-releases) |

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

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

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

[**Organizations Using Superset**](https://github.com/apache/superset/blob/master/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**

[superset-video-4k.webm](https://github.com/apache/superset/assets/812905/da036bc2-150c-4ee7-80f9-75e63210ff76)




**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/configuration/databases)) 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](https://superset.apache.org/docs/configuration/databases).

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/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"](https://github.com/apache/superset/blob/master/RESOURCES/INTHEWILD.md) - open a PR to add your org to the list!

- [Feature Flags](https://github.com/apache/superset/blob/master/RESOURCES/FEATURE_FLAGS.md) - the status of Superset's Feature Flags.

- [Standard Roles](https://github.com/apache/superset/blob/master/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.

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/docker-compose#installing-superset-locally-using-docker-compose)

  - [Installing Database Drivers](https://superset.apache.org/docs/configuration/databases#installing-database-drivers)

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

  - [Create Your First Dashboard](https://superset.apache.org/docs/using-superset/creating-your-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)

## Repo Activity