analytics

Umami: Private Analytics

Get privacy-focused insights with Umami, an open-source alternative to Google Analytics.
intermediate1-2 hours💵 Free (self-hosted)
38,295 stars7,808 forksTypeScriptUpdated 8/20/2026100% free · open source
What it is

Use Umami to collect and analyze your website's data without sharing it with any third-party service.

Real use case example

"A founder launching a new e-commerce website uses Umami to track their users' browsing behavior and create a custom analytics dashboard to identify trends and areas for improvement. They set up custom events to track user interactions, create cohorts to analyze recurring user behavior, and generate charts to visualize the data. As a result, they make data-driven decisions to optimize their website and increase sales."

Best insideClaude DesktopCursorCodex CLI
When to use it
  • You want to track website analytics without using Google Analytics
  • You need an open-source analytics solution for your startup
  • You prioritize user privacy and data protection in your analytics setup
Ready-to-paste prompt
You can use the Umami API to track page views by sending a POST request to `http://localhost:3000/api/track/pageview` with the page URL and other relevant data
Heads up: Make sure you have Docker and Docker Compose installed on your system, as Umami uses Docker containers to run its services, and also ensure you have a PostgreSQL database set up to store analytics data
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/umami && curl -fsSL https://workflowstacks.com/api/skills/umami/claude-skill -o ~/.claude/skills/umami/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 Umami: Private Analytics works
Codeflow
Free to inspect

Umami: Private Analytics is a very large TypeScript project (~64k lines across 1091 code files, plus 16 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, MIT license, has a test suite.

Size
Very large codebase
~64k lines · 1091 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 · Docker
No API keys detected
TypeScript 98%JavaScript 2%CSS 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    src/index.ts
    Where the program starts running
  3. 3
    package.json
    Dependencies and the commands it exposes
What's in each folder
src/Core code — the actual logic1072 files
prisma/Folder26 files
scripts/Helper scripts25 files
db/Folder17 files
podman/Folder5 files
docker/Deployment / infrastructure1 files
public/Images & static assets489 files
tests/Tests — proof it works9 files
READMEHas testsDocumentedCI checksDocker readyMIT licenseUpdated this month
Quick Actions
Details
Creator
umami-software
Language
TypeScript
Category
analytics
Published
7/17/2020

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