# Superset [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/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)](https://join.slack.com/t/apache-superset/shared_invite/zt-16jvzmoi8-sI7jKWp~xc2zYRe~NqiY9Q) [![Documentation](https://img.shields.io/badge/docs-apache.org-blue.svg)](https://superset.apache.org) Superset 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 **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 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

**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-16jvzmoi8-sI7jKWp~xc2zYRe~NqiY9Q) 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 - 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/) - [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 [Superset Community Events](https://preset.io/events) - [Live Demo: Interactive Time-series Analysis with Druid and Superset](https://preset.io/events/2021-03-02-interactive-time-series-analysis-with-druid-and-superset/) - [Live Demo: Visualizing MongoDB and Pinot Data using Trino](https://preset.io/events/2021-04-13-visualizing-mongodb-and-pinot-data-using-trino/) - [Superset Contributor Bootcamp](https://preset.io/events/superset-contributor-bootcamp-dec-21/) - [Introduction to the Superset API](https://preset.io/events/introduction-to-the-superset-api/) - [Apache Superset 1.3 Meetup](https://preset.io/events/apache-superset-1-3/) - [Building a Database Connector for Superset](https://preset.io/events/2021-02-16-building-a-database-connector-for-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)