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/

A fast way to get up and running is to use Railway

See Running on Railway to get started.

Installing from source

Requirements

• A server with Node.js 12 or newer
• A database (MySQL or Postgresql)

Install Yarn (if needed)

npm install -g yarn

Get the source code and install packages

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

Database

Umami supports MySQL and Postgresql. The database structure will automatically be applied on the first start of Umami. This will also create a login account with username admin and password umami.

Configure umami

Create an .env file with the following

DATABASE_URL=(connection url)
HASH_SALT=(any random string)

The connection url is in the following format:

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

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

The HASH_SALT is used to generate unique values for your installation.

Build the application

yarn build

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

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

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

Or with MySQL support:

docker pull ghcr.io/mikecao/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