Raspberry PI OS has made it possible to develop low-cost computers and IoT devices.

With Raspberry Pi OS it is possible to develop extremely light and affordable computers and IoT devices. It is best suited for developers and hobbyists. It is a dedicated OS for ARM processors and supports hardware rendering. It is free and supported by the Raspberry Pi foundation with a wide range of official boards to meet any kind of commercial project needs.

Still immature for enterprise-level implementation. Cannot be used for heavy computing. A hardware upgrade is not possible.

Very helpful and low budget to implement prototypes on IoT projects and low edge computing for IA.

The way you have back up support from all the community over the world implementing projects similar to the one you might start.

The user interface is still very command line based, given that is Linux based OS is understandable, nevertheless it needs to get better.

Very good experience with the Pi as a controller for external machinery. I even used it in developing my microprocessor design courses for testing automation and interfacing applications.

We tested Raspberry Pi OS in developing control software for Raspberry Pi 3B+ controllers. The configuration simply consists of connecting relay switches to the output ports of the Raspberry Pi to automate the on/off switching of electrical machinery. The programming language we used is Python which had all the libraries needed to control the I/O ports on the Raspberry Pi. Moreover we developed simple Web Server code on the Raspberry Pi to provide a Web user interface to the device management. Very easy to use and develop to produce real-world control applications. Would like to upgrade to Raspberry Pi 4 which promises better energy efficiency (this is a major problem I faced with task intensive processing on the Pi.

Data as well as processing intensive operations produce a lot of heat on the Raspberry Pi. This is definitely not an issue with the OS but an architectural issue. It would be nice to upgrade and inspect with Raspberry Pi 4 as it promises better energy management. It would be great to test some machine learning training or image processing on the Pi and see how it goes in terms of energy consumption and heat dissipation.

For integrated systems we often use Raspberry Pi's and the Raspberry Pi OS just makes everything easy, no messing with terminal or fiddly setups, it just works and it's reliable. Bullseye has just been released and is even better.

Raspberry Pi OS can be fiddly to get up and running and certain things, even available in Debian, just aren't available.

We used Raspberry Pi OS for providing an IoT controller for a home automation system. It proved very efficient and feature-rich to provide a full-fledged interfacing solution.

The main thing that drove us to use Raspberry Pi OS/Raspberry Pi devices is the Input/Output ports that can be fully controlled to interface with external IoT devices and sensors. The programming was done using a traditional Python interpreter which made the development very smooth and portable.

Raspberry Pi devices are not capable of running resource intensive tasks such as in the fields of signal and image processing or AI model training. This is fully understandable as these devices are not designed for such tasks but I believe with a slight increase in the cost of the device much better energy/heat dissipation could make the processors capable of supporting such tasks.