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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. |
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| app.json | ||
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| LICENSE | ||
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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
