Hello World
A simple sample that prints “Hello World” to the console.
Run locally
You can run the Hello World demo on the Arduino Nano 33 IOT board by following the instructions below. Assuming you have Python 3 and pip installed on your Linux machine, run the following commands to download Renode and the prebuilt binaries for this demo, and then run the simulation in Renode on your own machine:
pip3 install --user --upgrade git+https://github.com/antmicro/renode-run.git
renode-run demo -b arduino_nano_33_iot hello_world
Run in Colab
You can run this demo instantly on a cloud server in Google Colab by clicking the button below.
UART output
Download
Shell Module
This demo demonstrates the Zephyr shell submodule, which allows the user to use a console interface to control the operating system.
Run locally
The Shell Module demo is not supported in the Renode Zephyr dashboard on Arduino Nano 33 IOT yet.
You can contact us by clicking the button below if you want to see it supported.
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Philosophers
An implementation of a solution to the Dining Philosophers problem which demonstrates the usage of multiple preemptible and cooperative threads of differing priorities, as well as dynamic mutexes and thread sleeping.
Run locally
You can run the Philosophers demo on the Arduino Nano 33 IOT board by following the instructions below. Assuming you have Python 3 and pip installed on your Linux machine, run the following commands to download Renode and the prebuilt binaries for this demo, and then run the simulation in Renode on your own machine:
pip3 install --user --upgrade git+https://github.com/antmicro/renode-run.git
renode-run demo -b arduino_nano_33_iot philosophers
Run in Colab
You can run this demo instantly on a cloud server in Google Colab by clicking the button below.
UART output
Download
TensorFlow Lite Micro
This sample TensorFlow application replicates a sine wave and demonstrates the basics of using TensorFlow Lite Micro. The model included with the sample is trained to replicate a sine function and generates x values to print alongside the y values predicted by the model.
Run locally
You can run the TensorFlow Lite Micro demo on the Arduino Nano 33 IOT board by following the instructions below. Assuming you have Python 3 and pip installed on your Linux machine, run the following commands to download Renode and the prebuilt binaries for this demo, and then run the simulation in Renode on your own machine:
pip3 install --user --upgrade git+https://github.com/antmicro/renode-run.git
renode-run demo -b arduino_nano_33_iot tensorflow_lite_micro
Run in Colab
You can run this demo instantly on a cloud server in Google Colab by clicking the button below.
UART output
Download
MicroPython
This demo demonstrates the MicroPython Zephyr port by performing arithmetic operations, and by defining and calling simple functions.
