Umami is a simple, fast, website analytics alternative to Google Analytics.

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

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

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

Umami supports MySQL and Postgresql. Create a database for your Umami installation and install the tables with the included scripts.

For MySQL:

mysql -u username -p databasename < sql/schema.mysql.sql

For Postgresql:

psql -h hostname -U username -d databasename -f sql/schema.postgresql.sql

This will also create a login account with username admin and password 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.

npm run build

npm 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.

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

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

git pull
npm install
npm run build

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