Umami is a simple, fast, privacy-focused alternative to Google Analytics.
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README.md

umami

Umami is a simple, fast, privacy-focused alternative to Google Analytics.

Getting started

A detailed getting started guide can be found at https://umami.is/docs/

Installing from source

Requirements

  • A server with Node.js version 16.13 or newer
  • A database. Umami supports MySQL and Postgresql databases.

Install Yarn

npm install -g yarn

Get the source code and install packages

git clone https://github.com/umami-software/umami.git
cd umami
yarn install

Configure umami

Create an .env file with the following

DATABASE_URL=connection-url

The connection url is in the following format:

postgresql://username:mypassword@localhost:5432/mydb

mysql://username:mypassword@localhost:3306/mydb

Build the application

yarn build

The build step will also create tables in your database if you are installing for the first time. It will also create a login user with username admin and password umami.

Start the application

yarn start

By default this will launch the application on http://localhost:3000. You will need to either proxy requests from your web server or change the port to serve the application directly.

Installing with Docker

To build the umami container and start up a Postgres database, run:

docker compose up -d

Alternatively, to pull just the Umami Docker image with PostgreSQL support:

docker pull ghcr.io/umami-software/umami:postgresql-latest

Or with MySQL support:

docker pull ghcr.io/umami-software/umami:mysql-latest

Getting updates

To get the latest features, simply do a pull, install any new dependencies, and rebuild:

git pull
yarn install
yarn build

To update the Docker image, simply pull the new images and rebuild:

docker compose pull
docker compose up --force-recreate

License

MIT