Antti Hilja
e85ef4a9c5
Analytic is important activity but not as important as main business logic. Setting low priority doesn't mean the fetch call will be more likely to be discarded etc. it's just a hint to the browser.
Umami
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
🚀 Getting Started
A detailed getting started guide can be found at umami.is/docs.
🛠 Installing from Source
Requirements
- A server with Node.js version 18.18 or newer
- A database. Umami supports MariaDB (minimum v10.5), MySQL (minimum v8.0) and PostgreSQL (minimum v12.14) databases.
Get the Source Code and Install Packages
git clone https://github.com/umami-software/umami.git
cd umami
pnpm install
Configure Umami
Create an .env file with the following:
DATABASE_URL=connection-url
The connection URL format:
postgresql://username:mypassword@localhost:5432/mydb
mysql://username:mypassword@localhost:3306/mydb
Build the Application
pnpm run build
The build step will 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
pnpm run 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 docker.umami.is/umami-software/umami:postgresql-latest
Or with MySQL support:
docker pull docker.umami.is/umami-software/umami:mysql-latest
🔄 Getting Updates
To get the latest features, simply do a pull, install any new dependencies, and rebuild:
git pull
pnpm install
pnpm run build
To update the Docker image, simply pull the new images and rebuild:
docker compose pull
docker compose up --force-recreate -d
🛟 Support
