# Superset [](https://opensource.org/licenses/Apache-2.0) [](https://github.com/apache/superset/tree/latest) [](https://github.com/apache/superset/actions) [](https://badge.fury.io/py/apache-superset) [](https://codecov.io/github/apache/superset) [](https://pypi.python.org/pypi/apache-superset) [](https://join.slack.com/t/apache-superset/shared_invite/zt-uxbh5g36-AISUtHbzOXcu0BIj7kgUaw) [](https://superset.apache.org) [](https://david-dm.org/apache/superset?path=superset-frontend) 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) ## 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 for visualizing datasets and crafting interactive dashboards - A wide array of beautiful visualizations to showcase your data - Code-free visualization builder to extract and present datasets - A world-class SQL IDE for preparing data for visualization, including a rich metadata browser - A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics - Out-of-the-box support for most SQL-speaking databases - Seamless, in-memory asynchronous caching and queries - An extensible security model that allows configuration of very intricate rules on who can access which product features and datasets. - Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc) - The ability to add custom visualization plugins - An API for programmatic customization - A cloud-native architecture designed from the ground up for scale ## Supported Databases Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) 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/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](https://join.slack.com/t/apache-superset/shared_invite/zt-uxbh5g36-AISUtHbzOXcu0BIj7kgUaw) and please read our [Slack Community Guidelines](https://github.com/apache/superset/blob/master/CODE_OF_CONDUCT.md#slack-community-guidelines) - [Join our dev@superset.apache.org Mailing list](https://lists.apache.org/list.html?dev@superset.apache.org) ## 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 1.0 - [Superset 1.0 Milestone](https://superset.apache.org/docs/version-one) - [Superset 1.0 Release Notes](https://github.com/apache/superset/tree/master/RELEASING/release-notes-1-0) - 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/dockeradddrivers) - [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) - [Documentation for Superset End-Users (by Preset)](https://docs.preset.io/docs/terminology) - 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 Community Events](https://www.youtube.com/channel/UCMuwrvBsg_jjI2gLcm04R0g) - [Meetup: Superset 1.0](https://www.youtube.com/watch?v=gEZkFF2kokk) - [Live Demo: Interactive Time-series Analysis with Druid and Superset](https://www.youtube.com/watch?v=4eh7OTfMln8) - [Live Demo: Visualizing MongoDB and Pinot Data using Trino](https://www.youtube.com/watch?v=Dw_al_26F6o) - Upcoming Superset Events - [Superset + Star Wars: May the 4th Be With You](https://preset.io/events/2021-05-04-superset-star-wars-may-the-4th-be-with-you) - [Meetup - Developing and Deploying Custom Visualization Plugins in Superset](https://www.meetup.com/Global-Apache-Superset-Community-Meetup/events/277835486/) - [Visualize Your Data Lake Using Athena and Superset](https://preset.io/events/2021-05-18-visualize-your-data-lake-using-athena-and-superset) - Visualizations - [Building Custom Viz Plugins](https://superset.apache.org/docs/installation/building-custom-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)