Device Config

A library of scripts to set up a specific development / runtime environment on an Operating System - the target might be a VM or a physical device. Made with the setup of dedicated thin client / kiosk devices in mind, in particular using the Raspberry Pi and the associated (Debian-based) Raspberry Pi OS both on the Pi itself and on Intel machines.

Important Note: Some of these scripts are designed to configure the way a physical or virtual machine boots and loads applications and the user interface. They are for use on devices (Raspberry Pis, old PCs) you are aiming to use as dedicated kiosk / thin client machines, not for running on a typical desktop PC.

Installation & Usage

The most convienient way to to run an individual script is by using curl to download and run it in one line - example command lines are given for each script.

You can also download the repository from Github. The scripts are written in Python, you will need to have Python installed (generally a default on most Linux distributions). Some scripts use other libraries / utilities, such as Expect, the scripts themselves will take care of installation if needed.


Configures a machine to be a “kiosk”, loading nothing but a web browser pointing at a specified URL. Works on Raspberry Pi OS (both on the Pi and Intel versions). Can be useful, for instance, for digital signage applications - plug a Raspberry Pi into a large screen display, configure with this script, reboot and away you go.

The following example displays a simple Google Slides document on a loop, with 5 seconds between each page of the slideshow.

curl -s >; sudo python3 --URL\\\&loop=true\\\&delayms=5000; rm

Note that, in the above example, the ampersands in the given URL need to be double-escaped, i.e. “\\&”.


Configures a machine to be a kiosk device running ExamWritePad - no desktop, no user access to a web browser, but does have network access and can save work both locally and to network storage.

Start with a freshly-installed Raspberry Pi OS machine, either an actual Raspberry Pi or a x86 laptop / desktop. Then, run the command below:

curl -s | sudo python3