License GitHub release (latest SemVer) Build Status PyPI version Coverage Status PyPI Get on Slack Documentation Dependencies Status


    A modern, enterprise-ready business intelligence web application.

    Why Superset? | Supported Databases | Installation and Configuration | Release Notes | Get Involved | Contributor Guide | Resources | Organizations Using Superset

    Screenshots & Gifs


    View Dashboards

    Slice & dice your data

    Query and visualize your data with SQL Lab

    Visualize geospatial data with

    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:

    redshift google-biquery snowflake trino presto druid postgresql mysql mssql-server db2 sqlite sybase mariadb vertica oracle firebird greenplum clickhouse exasol monet-db apache-kylin hologres netezza

    A more comprehensive list of supported databases along with the configuration instructions can be found here.

    Want to add support for your datastore or data engine? Read more here about the technical requirements.

    Installation and Configuration

    Extended documentation for Superset

    Get Involved

    Contributor Guide

    Interested in contributing? Check out our to find resources around contributing along with a detailed guide on how to set up a development environment.



    🚀 Github 镜像仓库 🚀


    发行版本 49



    贡献者 188



    • Python 50.0 %
    • TypeScript 28.9 %
    • JavaScript 17.3 %
    • HTML 1.4 %
    • Less 1.1 %