apache/superset

🔥 Hot★ 72,900TypeScriptAudience · pm founderComplexity · 4/5ActiveLicenseSetup · hard

Mindmap

mindmap
  root((Superset))
    What it does
      Visual dashboard builder
      SQL data exploration
      Multi-database connector
      No-code chart creation
    Key features
      Drag-and-drop interface
      SQL Lab editor
      Role-based access control
      Query caching layer
    Tech stack
      Python Flask backend
      TypeScript React frontend
      SQLAlchemy dialects
      Docker Kubernetes ready
    Use cases
      Self-hosted BI alternative
      Team data exploration
      Executive dashboards
      Data democratization
    Databases supported
      PostgreSQL MySQL
      BigQuery Snowflake
      Redshift Druid

mindmap root((Superset)) What it does Visual dashboard builder SQL data exploration Multi-database connector No-code chart creation Key features Drag-and-drop interface SQL Lab editor Role-based access control Query caching layer Tech stack Python Flask backend TypeScript React frontend SQLAlchemy dialects Docker Kubernetes ready Use cases Self-hosted BI alternative Team data exploration Executive dashboards Data democratization Databases supported PostgreSQL MySQL BigQuery Snowflake Redshift Druid

Things people build with this

USE CASE 1

Build interactive dashboards to share sales, marketing, or operational metrics with your team without paying for Tableau or Looker.

USE CASE 2

Let business analysts explore data from multiple databases through a visual interface without writing SQL queries.

USE CASE 3

Create self-hosted BI infrastructure that your organization fully controls, with no vendor lock-in or data leaving your servers.

USE CASE 4

Set up role-based data access so different teams see only the dashboards and data relevant to their work.

Tech stack

PythonFlaskTypeScriptReactSQLAlchemyDockerKubernetes

Getting it running

Difficulty · hard Time to first run · 1h+

Requires Docker and multiple backend/frontend services; database connection setup needed before seeing functional dashboards.

Use freely for any purpose, including commercial use, as long as you include the Apache 2.0 license notice and document any changes you make.

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 set up Apache Superset to connect to my PostgreSQL database and create my first dashboard?

Prompt 2

Show me how to use SQL Lab in Superset to write a custom query and turn it into a chart.

Prompt 3

What's the best way to deploy Superset on Kubernetes for a team of 50 analysts?

Prompt 4

How do I configure role-based access control in Superset so sales only sees sales data and marketing only sees marketing data?

Prompt 5

Can I connect Superset to BigQuery and Snowflake at the same time and build dashboards from both?

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