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umami
Umami is a simple, fast, website analytics 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 10.13 or newer
A database (MySQL or Postgresql)
Get the source code and install packages
git clone https://github.com/mikecao/umami.git
cd umami
npm install

Create database tables
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. 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 npm run build Start the application 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. 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 npm install npm run build License MIT