The ESMF project website

AutoDRIVE-AVL DRIVINGCUBE Development & Integration

WillowTwin open digital twin definition language (DTDL) ontology for buildings and real estate

Eclipse Ditto™: Digital Twin framework of Eclipse IoT - main repository

Package manager for things. Start designing modular hardware! PartCAD is the standard for documenting manufacturable physical products (a.k.a. Digital Thread or TDP). It comes with a set of tools to maintain product information and to facilitate efficient and effective workflows at all product lifecycle phases, boosted by AI.

As part of the 2024-2025 Master's Thesis

Library that combines control engineering, dynamic simulation and machine learning on time-series. Developed to describe industrial processes and -automation. Lightweight, robust and fast for use in advanced analytics. Built on .NET to run anywhere.

Azure Data Explorer can provide valuable insights into your IoT workloads. In the following Hands-On Lab we look at thermostat IoT Devices that are in 3 different office buildings.

A curated list of resources to see the big picture of XR

Digital Twin Definition Language parser for .NET

Amsterdam digital twin a real-time 3D visualization system that shows live transit data in Amsterdam, alongside simulated company vehicles.

TRIPLE: A Blockchain-based Digital Twin Framework for Cyber-Physical Systems Security

Create UI components for Angular applications with Schematics based on Aspect Models.

🏭 ↔️ 👥 Digital Twin as a Service

Virtual linear guide operation with Simumatik and Sysmac Studio.

Client-side utility for human-friendly HTML rendering of machine-friendly ambient data. We believe in an open Internet of Things.

A collaborative repository of linked data and digital twins for radio-identifiable products. We believe in an open Internet of Things.

Open-source and real-time orchestrator for cyber-physical-systems, to easily design, test and deploy embedded applications and digital twins.

Web of Digital Twins Organization readme

A device that provides clothing guidance based on real-time data can help people avoid health issues stemming from inappropriate dress, allowing them to remain comfortable throughout different seasons and weather conditions, and better adapt to changing environments.