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Node-RED

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Embedded Computing Conference – ECC 2018

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ConDisSca

Node-RED - free open source tool for wiring things together

Node-RED is an open-source programming tool for wiring together things in a new and interesting way. Things are hardware devices, APIs, online services etc.

Further Node-RED provides a browser-based editor that eases wiring together flows using a wide range of nodes given in the palette that is deployed to its runtime in a single-click.

In the Internet of Things (IoT) world we want to connect things together. However, sometimes they were not meant to be connected. Node-RED makes this fast and easy.

EVOCEAN developed a Things Execution Framework (TXF) for IBM Rational Rhapsody, such that you can wire the things easily on the fly together with Node-RED. Thus, empowering Model Execution and wiring. You can read more about this on the  ConDisSca product page.

Node-RED Functionalities

Brower-based flow editing

Node-RED provides a browser-based flow editor that makes it easy to wire together flows using the wide range of nodes in the palette. Flows can be then deployed to the runtime in a single-click. Furthermore, JavaScript functions can be created within the editor using a rich text editor. A built-in library allows you to save useful functions, templates or flows for re-use.

Build on Node.js

The light-weight runtime is built on Node.js, taking full advantage of its event-driven, non-blocking model. As a result this makes it ideal to run at the edge of the network on low-cost hardware such as the Raspberry Pi as well as in the cloud. With well over 2oo,000 modules in Node’s package repository, it is easy to extend the range of palette nodes to add new capabilities.

Social Development

The flows created in Node-RED are stored using JSON which can be easily imported and exported for sharing with others. Further, an online flow library allows you to share your best flows with the world.

Getting Started

Node-RED is built on Node.js, taking full advantage of its event-driven, non-blocking model. This makes it ideal to run at the edge of the network on low-cost hardware such as the Raspberry Pi as well as in the cloud.

Run locally, on a device or in the cloud.

You will find this Information and more here.

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