How to install Offen on macOS

Offen is self-hosted analytics software which addresses the privacy concerns caused by third party data collection. In this tutorial, we will guide you on how to install Offen on macOS.

Prerequisites

In order to install Offen, you need to have the following in place:

Installation process

Follow the below-given steps to install Offen on macOS:

Step 1: Install Homebrew

Homebrew is a package manager for macOS. You can install it by running the below command in a terminal window:

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"

Step 2: Install Docker

You can install Docker by running the following command in a terminal window:

brew install docker

Step 3: Install Docker Compose

Docker Compose is a tool for defining and running multi-container Docker applications. You can install Docker Compose by running the following command in a terminal window:

brew install docker-compose

Step 4: Clone Offen Repository

Clone the Offen repository using the following command in a terminal window:

git clone https://github.com/offen/offen.git

Step 5: Create configuration files

Create a .env file in the root of the offen directory:

cp .env.example .env

Also, create a backend/.env file using the following command:

cp backend/.env.example backend/.env

Step 6: Start Docker Container

Start the Docker container using the following command:

docker-compose up

This will build the relevant Docker images, create the required containers and start the Offen application on http://localhost:8080.

Step 7: Run migrations

To setup the schema of the required database structures, run the following command in a new terminal window:

docker-compose exec backend /bin/sh
/ # yarn migrate

Step 8: Login to Offen

Once the installation is complete, navigate to http://localhost:8080/login and login to your Offen account using the default credentials:

You have successfully installed and run Offen on macOS!

Conclusion

Offen is a privacy-conscious analytics software that helps you to analyze website visitors' data without infringing on their privacy. Follow this tutorial to install and run it on your Mac machine.

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