apache/superset

Analysis updated 2026-06-20

★ 72,715TypeScriptAudience · dataComplexity · 4/5LicenseSetup · hard

Mindmap

mindmap
  root((repo))
    What it Does
      Data exploration
      Chart building
      Dashboard assembly
    Features
      No-code chart builder
      SQL Lab editor
      Role-based access
      Database caching
    Tech Stack
      Python Flask
      TypeScript React
      SQLAlchemy
      Docker
    Audience
      Data analysts
      Business teams
    Use Cases
      Self-hosted BI
      Multi-source dashboards

mindmap root((repo)) What it Does Data exploration Chart building Dashboard assembly Features No-code chart builder SQL Lab editor Role-based access Database caching Tech Stack Python Flask TypeScript React SQLAlchemy Docker Audience Data analysts Business teams Use Cases Self-hosted BI Multi-source dashboards

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What do people build with it?

USE CASE 1

Connect your PostgreSQL, Snowflake, or BigQuery database and build interactive dashboards without writing any front-end code.

USE CASE 2

Let non-engineers on your team explore data and build charts using the drag-and-drop chart builder and SQL Lab.

USE CASE 3

Replace a paid BI tool like Tableau or Looker with a fully self-hosted, open-source alternative your team controls.

USE CASE 4

Write and share custom SQL queries across your organization using Superset's built-in SQL editor.

What is it built with?

PythonTypeScriptReactFlaskSQLAlchemyDockerKubernetes

How does it compare?

	apache/superset	thedotmack/claude-mem	abi/screenshot-to-code
Stars	72,715	72,874	72,451
Language	TypeScript	TypeScript	TypeScript
Setup difficulty	hard	moderate	hard
Complexity	4/5	3/5	3/5
Audience	data	developer	developer

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1h+

Requires Docker and multiple services including Redis and a metadata database, initial configuration involves several steps before the first login.

Free to use, modify, and distribute for any purpose, including commercial use, as long as you include the Apache 2.0 license notice.

In plain English

Apache Superset is an open-source business intelligence and data visualization web application. It solves the problem of helping analysts, business users, and data teams explore their data, build charts, and assemble interactive dashboards without needing to write complex code or pay for expensive proprietary BI tools like Tableau or Looker. You connect it to your existing databases and then explore your data through a visual interface. The platform works by connecting to any SQL-compatible database or data engine through Python database drivers and SQLAlchemy dialects (a standard library for database communication). From there, users can build charts using a drag-and-drop no-code chart builder, write custom queries in a built-in SQL editor called SQL Lab, and combine multiple charts into shareable dashboards. It supports a very wide range of databases including PostgreSQL, MySQL, BigQuery, Snowflake, Amazon Redshift, Apache Druid, and many others. A caching layer sits between Superset and your databases to avoid redundant queries and reduce load. Role-based access control lets administrators manage which users can see which data. You would use Superset if your team needs a self-hosted alternative to commercial BI tools, wants to connect multiple data sources into one visualization platform, or needs a way to let non-engineers explore data without writing SQL. It is also suitable for organizations that want full control over their data and infrastructure. The backend is Python using the Flask web framework, the frontend is TypeScript with React, and deployment is designed to be cloud-native, typically using Docker and Kubernetes. It is an Apache Software Foundation project licensed under Apache 2.0.

Copy-paste prompts

Prompt 1

How do I connect Apache Superset to my PostgreSQL database and create my first bar chart? Walk me through the steps from a fresh install.

Prompt 2

I want to run Apache Superset locally using Docker Compose. What is the minimal configuration I need and what commands do I run?

Prompt 3

How do I set up a role in Apache Superset that lets my team view and filter dashboards but cannot edit or delete anything?

Prompt 4

Show me how to add a calculated metric to a Superset chart, for example, dividing one column by another, without writing a Python plugin.

Frequently asked questions

What is superset?

Apache Superset is a free, open-source business intelligence tool where teams explore data, build charts, and create interactive dashboards by connecting to their existing databases, a self-hosted alternative to Tableau or Looker.

What language is superset written in?

Mainly TypeScript. The stack also includes Python, TypeScript, React.

What license does superset use?

Free to use, modify, and distribute for any purpose, including commercial use, as long as you include the Apache 2.0 license notice.

How hard is superset to set up?

Setup difficulty is rated hard, with roughly 1h+ to a first successful run.

Who is superset for?

Mainly data.

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