analytics

Redash: Data Insights

Get data-driven with Redash.
28,780 stars4,627 forksPythonGuide quality 8/10Updated 9/7/2026100% free · open source
What it does

Redash allows founders to connect to any data source, easily visualize, and share data to make their company more data-driven.

When to use it
  • You have multiple data sources and want to create a unified dashboard to track key metrics.
  • You need to share data insights with your team or stakeholders in a simple and intuitive way.
  • You want to create custom visualizations and dashboards without requiring extensive coding knowledge.
Ready-to-paste prompt
To query a PostgreSQL database, you can use the following query: `SELECT * FROM mytable;` and then create a visualization from the results.
Heads up: Make sure you have Docker and Docker Compose installed on your system before running `docker-compose up`, as Redash relies on these tools to manage its containers and dependencies.
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/redash && curl -fsSL https://workflowstacks.com/api/skills/redash/claude-skill -o ~/.claude/skills/redash/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 Redash: Data Insights works
Codeflow
Free to inspect

Redash: Data Insights is a very large Python project (~66k lines across 757 code files, plus 104 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, BSD-2-Clause license, has a test suite.

Size
Very large codebase
~66k lines · 757 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
Node.js · Python · Docker
No API keys detected
Python 45%JavaScript 31%TypeScript 17%Less 6%HTML 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    bin/run
    Where the program starts running
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    redash/__init__.py
    Inside redash/ — the main logic begins here
What's in each folder
redash/Core code — the actual logic192 files
client/Frontend / UI645 files
bin/Command-line entry points4 files
viz-lib/Folder277 files
migrations/Folder32 files
scripts/Helper scripts1 files
setup/Folder1 files
tests/Tests — proof it works92 files
READMEHas testsDocumentedCI checksDocker readyBSD-2-Clause licenseUpdated this month
Quick Actions
Details
Creator
getredash
Language
Python
Category
analytics
Published
10/28/2013

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