Node-RED

Learn how to combine TensorFlow.js with Node-RED to create AI-enabled Node-RED applications in various environments.

Read how Node-RED can be used to extract data from any source, transform the data, and load it to any destination.

In this tutorial, learn how easy it is to set up an IoT system using just a smartphone. Also, learn how to process and visualize IoT sensor data in a dashboard.

Build a Hyperledger Fabric network to store IoT sensor data and a UI where you can see the history of sensor data.

Hosts Luke Schantz and Joe Sepi are passionate developers who love to talk shop.

In this learning path, you'll learn how to use this low code development tool for production environments. You'll see how to integrate Node-RED into your DevOps environment, including version control, a build stage, and a deploy stage.

Learn how to connect sensors and actuators to an Arduino and NodeMCU device, how to read the values from these sensors and actuators, and how to use a Raspberry Pi as a gateway and an MQTT server. Also, learn how to use technologies like Bluetooth, wifi, MQTT (and optionally LoRaWan) for communication between all the devices.

Node-RED is flow-based programming environment, providing a browser-based editor that makes it easy to wire together devices, APIs, and online services. Node-RED is built on Node.js (now available on IBM i), taking full advantage of its event-driven, non-blocking model. This article explains how to install and run Node-RED on your IBM i system and introduces the basics of Node-RED flow creation.

Use the example Node-RED flows and dashboards to build an Earthquake Early Warning (EEW) system. After completing this tutorial, you will be ready to modify these example flows and dashboards to create your own EEW and data visualization solution.

This series is designed for anyone interested in quickly getting up to speed with using Node.js with artificial intelligence.