Welcome | Superset Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts
intro | Superset 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
Creating Your First Dashboard | Superset 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 dashboard so that you get a feel for the end-to-end user experience
PyPI | Superset This page describes how to install Superset using the apachesuperset package published on PyPI
Docker Compose | Superset 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 any code changes follow the steps documented for production or a specific version below
Connecting to Databases | Superset 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 install new database drivers into your Superset configuration
Installation Methods | Superset 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
Exploring Data in Superset In this tutorial, we will introduce key concepts in Apache Superset through the exploration of a real dataset which contains the flights made by employees of a UK-based organization in 2011
FAQ | Superset 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 are being used, in order to prioritize patch minor releases and security fixes
Configuring Superset 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-wtf, flask-caching, flask-migrate, and flask-appbuilder Each one of these extensions offers intricate configurability