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 Docker, Docker …

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 to a …

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.

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 and dashboards.

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 versions of Superset …

4 days ago · When running in development mode the superset-node container needs to finish building assets in order for the UI to render properly. If you would just like to try out Superset without making …

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

4 days ago · Superset requires a Python DB-API database driver and a SQLAlchemy dialect to be installed for each database engine you want to connect to. You can read more here about how to …