setup-backend (used in 17 job steps across 13 workflows) bootstrapped uv via `pip install --upgrade pip setuptools wheel uv` on every run, and only cached pip's download dir via actions/setup-python's `cache: pip` -- pip wasn't doing the actual installs (uv was), so that cache bought nothing. astral-sh/setup-uv ships a prebuilt uv binary instead of installing it via pip, and its own GitHub Actions cache (enable-cache: true) persists uv's resolution/wheel cache across runs, keyed on requirements/*.txt and pyproject.toml by default. Also drops the now-redundant pip/setuptools/wheel upgrade -- uv's build isolation installs anything a package's build backend declares (pyproject.toml's [build-system] already requires setuptools/wheel) without needing them preinstalled in the target environment. Also swaps the same `pip install uv` bootstrap in bump-python-package.yml. The uv step is skipped when install-superset: false (helm-lint-test), since otherwise there's nothing for it to install or cache and it fails the job.
Superset
A modern, enterprise-ready business intelligence web application.
Documentation
- User Guide — For analysts and business users. Explore data, build charts, create dashboards, and connect databases.
- Administrator Guide — Install, configure, and operate Superset. Covers security, scaling, and database drivers.
- Developer Guide — Contribute to Superset or build on its REST API and extension framework.
Why Superset? | Supported Databases | Release Notes | Get Involved | Resources | Organizations Using Superset
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
Video Overview
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) that has a Python DB-API driver and a SQLAlchemy dialect.
Here are some of the major database solutions that are supported:
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
Try out Superset's quickstart guide or learn about the options for production deployments.
Get Involved
- Ask and answer questions on StackOverflow using the apache-superset tag
- Join our community's Slack and please read our Slack Community Guidelines
- Join our dev@superset.apache.org Mailing list. To join, simply send an email to dev-subscribe@superset.apache.org
- Follow us on social media: X | LinkedIn | Bluesky | Reddit
- If you want to help troubleshoot GitHub Issues involving the numerous database drivers that Superset supports, please consider adding your name and the databases you have access to on the Superset Database Familiarity Rolodex
- Join Superset's Town Hall and Operational Model recurring meetings. Meeting info is available on the Superset Community Calendar
Contributor Guide
Interested in contributing? Check out our Developer Guide to find resources around contributing along with a detailed guide on how to set up a development environment.
Resources
- Superset "In the Wild" - see who's using Superset, and add your organization to the list!
- Feature Flags - the status of Superset's Feature Flags.
- Standard Roles - How RBAC permissions map to roles.
- Superset Wiki - Tons of additional community resources: best practices, community content and other information.
- Superset SIPs - The status of Superset's SIPs (Superset Improvement Proposals) for both consensus and implementation status.
Understanding the Superset Points of View
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Getting Started with Superset
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Deploying Superset
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Recordings of Past Superset Community Events
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Visualizations



