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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
Last synced: 4 days ago
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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 (about 1 month ago)
- Last Synced: 2024-10-29T15:11:22.515Z (about 1 month 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
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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