Evan Rusackas aa94a8eebd feat(docker/ci): migrate Docker and CI from npm to bun
Docker changes:
- Use oven/bun:1-debian as base image instead of node:20-trixie-slim
- Replace npm ci with bun install --frozen-lockfile
- Replace npm run commands with bun run
- Mount bun.lock instead of package-lock.json
- Update cache paths for Bun's cache directory
- Rename NPM_RUN_PRUNE env var to BUN_RUN_PRUNE

CI workflow changes:
- Update bashlib.sh npm-install function to use bun
- Update superset-frontend.yml to use bun run commands
- Update release.yml to use setup-bun action and changesets
- Update superset-e2e.yml to use setup-bun action
- Update superset-playwright.yml to use setup-bun action
- Update superset-translations.yml to use setup-bun action

Note: superset-embedded-sdk and superset-websocket remain on npm
as they are separate packages with their own lockfiles.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-10 11:46:21 -08:00
2025-12-04 13:18:34 -05:00
2020-03-25 22:00:41 -07:00
2024-04-15 11:21:42 -06:00

Superset

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Superset logo (light)

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

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

superset-video-1080p.webm


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:

Amazon Athena   Amazon DynamoDB   Amazon Redshift   Apache Doris   Apache Drill   Apache Druid   Apache Hive   Apache Impala   Apache Kylin   Apache Pinot   Apache Solr   Apache Spark SQL   Ascend   Aurora MySQL (Data API)   Aurora PostgreSQL (Data API)   Azure Data Explorer   Azure Synapse   ClickHouse   Cloudflare D1   CockroachDB   Couchbase   CrateDB   Databend   Databricks   Denodo   Dremio   DuckDB   Elasticsearch   Exasol   Firebird   Firebolt   Google BigQuery   Google Sheets   Greenplum   Hologres   IBM Db2   IBM Netezza Performance Server   MariaDB   Microsoft SQL Server   MonetDB   MongoDB   MotherDuck   OceanBase   Oracle   Presto   RisingWave   SAP HANA   SAP Sybase   Shillelagh   SingleStore   Snowflake   SQLite   StarRocks   Superset meta database   TDengine   Teradata   TimescaleDB   Trino   Vertica   YDB   YugabyteDB

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

Contributor Guide

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

Resources

Understanding the Superset Points of View

Repo Activity

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HTML 2.7%
JavaScript 0.4%
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