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Dataease: Open-source BI

Get data visualization with Dataease, an alternative to Tableau, for startup founders, with 24k+ GitHub stars
24,604 stars+16★ this week4,264 forksJavaGuide quality 9/10 · reviewed Jul 14Updated 10/13/2026100% free · open source
What it does

Dataease provides an open-source business intelligence tool for data visualization, offering an alternative to Tableau for startup founders to analyze and visualize their data

When to use it
  • •When you need to create interactive dashboards to explore and visualize data
  • •When you're looking for a cost-effective alternative to commercial BI tools like Tableau
  • •When you want to integrate data visualization into your web application
Ready-to-paste prompt
docker run -d -p 9090:80 dataease/dataease && open http://localhost:9090/#/login?username=admin&password=dataease
Heads up: Ensure you have Docker installed and running on your system, as Dataease relies on Docker for deployment and runtime
Saves to your device
Use with Claude
New

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

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/dataease && curl -fsSL https://workflowstacks.com/api/skills/dataease/claude-skill -o ~/.claude/skills/dataease/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 Dataease: Open-source BI works
Codeflow
Free to inspect

Dataease: Open-source BI is a very large Java project (~263k lines across 1892 code files, plus 2 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, GPL-3.0 license, has a test suite.

Size
Very large codebase
~263k lines · 1892 code files · days to read — use, don't read
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Java/JVM · Docker
No API keys detected
Java 78%Vue 22%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    core/core-frontend/README.md
    Inside core/ — the main logic begins here
What's in each folder
core/Core code — the actual logic2275 files
docs/Documentation12 files
mapFiles/Folder3394 files
sdk/SDKs / client libraries665 files
installer/Folder20 files
drivers/Folder8 files
staticResource/Folder2 files
.github/CI / automation (GitHub Actions)8 files
READMEHas testsDocumentedCI checksDocker readyGPL-3.0 licenseUpdated this month
Quick Actions
Details
Creator
dataease
Language
Java
Category
analytics
Published
2/2/2021

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/dataease.svg)](https://workflowstacks.com/skills/dataease?utm_source=github&utm_medium=badge)
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