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Superset: Build Interactive Dashboards with 75k+ GitHub stars

Name: Superset: Build Interactive Dashboards with 75k+ GitHub stars
Author: apache

Turn raw data into clear visual insights fast—perfect for founders needing self‑service analytics without a data team.

75,136 stars+81★ this week18,477 forksPythonGuide quality 9/10 · reviewed Sep 29Updated 10/14/2026100% free · open source

What it does

Apache Superset is a data visualization and exploration platform that helps founders in data-driven startups to easily create dashboards and explore their data

When to use it

•When you need to create interactive dashboards to visualize your startup's key metrics
•When you want to explore and analyze your data without writing complex SQL queries
•When you need to share data insights with your team or stakeholders in a easy-to-understand format

Ready-to-paste prompt

superset run -p 8088 --with-exampledatas --username admin --password admin

Heads up: You need to have Docker and Docker Compose installed on your system to run Superset using the `docker-compose up` command, and also ensure you have the necessary dependencies installed, including Python 3.7 or higher

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/apache-superset && curl -fsSL https://workflowstacks.com/api/skills/apache-superset/claude-skill -o ~/.claude/skills/apache-superset/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Superset: Build Interactive Dashboards with 75k+ GitHub stars works

Codeflow

Free to inspect

Superset: Build Interactive Dashboards with 75k+ GitHub stars is a very large Python project (~812k lines across 5099 code files, plus 1522 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size

Very large codebase

~812k lines · 5099 code files · days to read — use, don't read

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Python · Docker

No API keys detected

Python 40%TypeScript 38%Jupyter Notebook 19%HTML 2%

What happens, step by step

Users get data insights from Superset

You give

Data sources

1Data Input

Connect to databases

superset/app.py

2Data Query

Use SQL editor

3Data Visualization

Build charts quickly

4Dashboard Creation

Craft dynamic dashboards

5Security Setup

Configure security roles

You get

Visualized data

Where to start reading

1
README.md
Start here — what it does and how to install it
2
AGENTS.md
The instructions the AI actually follows
3
superset/app.py
Where the program starts running
4
pyproject.toml
Dependencies and the commands it exposes
5
superset/__init__.py
Inside superset/ — the main logic begins here

What's in each folder

superset/Core code — the actual logic1674 files

docs/Documentation2546 files

superset-frontend/Folder4852 files

RELEASING/Folder117 files

helm/Deployment / infrastructure49 files

scripts/Helper scripts41 files

superset-core/Folder40 files

CHANGELOG/Folder32 files

READMEHas testsDocumentedCI checksDocker readyApache-2.0 licenseUpdated this month

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/apache-superset && curl -fsSL https://workflowstacks.com/api/skills/apache-superset/claude-skill -o ~/.claude/skills/apache-superset/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

apache

Language

Python