Community website for Apache Superset™, a data visualization and data exploration platform

Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) that has a Python DB-API driver and a SQLAlchemy dialect.

5 days ago · Quickstart Ready to try Apache Superset? This quickstart guide will help you get up and running on your local machine in 3 simple steps. Note that it assumes that you have …

4 days ago · We’ll show you how to connect Superset to a new database and configure a table in that database for analysis. You’ll also explore the data you’ve exposed and add a visualization …

Apache Superset enables users to explore data interactively through SQL queries, visual query builders, and rich visualizations, making it easier to understand datasets before building charts …

4 days ago · How should you install Superset? Here's a comparison of the different options. It will help if you've first read the Architecture page to understand Superset's different components.

4 days ago · Superset uses Scarf by default to collect basic telemetry data upon installing and/or running Superset. This data helps the maintainers of Superset better understand which …

4 days ago · This page describes how to install Superset using the apachesuperset package published on PyPI.

4 days ago · Since superset_config.py acts as a Flask configuration module, it can be used to alter the settings of Flask itself, as well as Flask extensions that Superset bundles like flask …

4 days ago · API Superset's public REST API follows the OpenAPI specification, and is documented here. The docs below are generated using Swagger React UI.