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Privacy Blocks are designed to help developers integrate privacy-preserving measures into IoT applications, following Privacy by Design (PbD) principles and the Combined Privacy Law Framework (CPLF). These components include tools for data anonymization, encryption, access control, and data minimization. Integrated with Blockly@rduino, Privacy Blocks streamline the development of secure and privacy-compliant IoT solutions. For Research Background: https://iotgarage.net/projects/GDPRinIoT.html

Canella is an integrated ecosystem leveraging tools like Blockly@rduino and Node-RED to streamline the development of privacy-preserving IoT applications. With real-time privacy feedback, privacy-preserving components, and compliance validation, Canella helps developers create secure, user-centric IoT systems while reducing cognitive load. For Research Background: https://iotgarage.net/projects/GDPRinIoT.html

Ardublockly is a visual programming editor for Arduino. It is based on Google's Blockly, which has been forked to generate Arduino code.

The ArdublocklyServer Python package initialises a local server to be able to compile and load the Arduino code

Visual smart contract editor for Tezos based on Blockly

Open Source 3D design software using block programming