The ultimate minimal Raspberry Pi OS, piCore is fast and flexible, but comes almost devoid of software. Instead, you'll need to download and install your own web browser, email client, text editor, and other apps. Smooth and stable, piCore comes with internet connectivity and even manages ...
As the most prominent SBC lineup, the Raspberry Pi family is compatible with abattalion of operating systems. Full-fledged desktop distros such as Kali Linux,Ubuntu, Debian, and the all-powerful Raspberry Pi OS provide a highly versatile experience. Alternatively, you could go forRetroPie,LibreEl...
Raspberry Pi 4 Model B, Pi 3 Model B+, Pi 3 Model B, or Pi 2 Model B (these are the official names for the Raspberry Pi 4, Pi 3, and Pi 2.Don’t let the “B” confuse you since there is also an older Raspberry Pi Model B which is now effectively the “Raspberry Pi 1 Mo...
One of the key aspects that define a Smart City is the use of Information and communication technology (ICT) to develop smart infrastructure that transform working environments. Motivated with this vision, in this article, we propose PiMail, an affordable, lightweight and energy efficient private ...
Raspberry Pi, Hardkernel ODROID, and Orange Pi are some of the most popular and cost effective development boards on the market today, and one British
A very lightweight monitoring system for Raspberry Pi clusters running Kubernetes. Why? When I finished my Kubernetes cluster using a few Raspberry Pis, the first thing I wanted to do is install Prometheus + Grafana for monitoring, and so I did. But when I had all of it working I found ...
A lightweight and efficient FFT (Fast Fourier Transform) library for the Raspberry Pi Pico, based on the KISS FFT library. - Googool/pico_fft
root@node1:/home/pi# k3s kubectl proxy Starting to serve on 127.0.0.1:8001 By now, you should be able to access Dashboard via 8001 port on your Raspberry Pi system browser. Cleaning up kubectl delete --all pods pod "mynginx-84b8d48d44-9ghrl" deleted ...
In this study, a lightweight IDS based on machine learning is implemented on a Raspberry Pi. To make the system lightweight, a correlation-based feature selection algorithm is applied to significantly reduce the number of features and a lightweight classifier is utilized. The performance of our ...
TinyCore saves on size by requiring a wired network connection during initial setup. The recommended amount of RAM is just 128MB. There are 32-bit and 64-bit versions as well asPiCore, which is a build for theRaspberry Pi. There are builds for otherARMdevices like theGK802 Mini PCtoo....