Welcome to White Label Digital Twins (WLDT), an open-source project dedicated to supporting the design, development, and deployment of Digital Twins within the Internet of Things (IoT) ecosystems.

The WLDT library has been designed to align with the latest DT definitions from both Industrial and Scientific domains. It identifies DTs as active, flexible, and scalable software components. Our library aims to provide developers with the tools and resources necessary to create robust Digital Twins that effectively simulate and monitor physical assets within IoT environments.

Whether you’re working on IoT, Industrial IoT (IIoT) applications, Smart Cities projects, or any other IoT-related endeavor, the WLDT library offers a versatile solution for implementing Digital Twins that accurately represent real-world objects and support informed decision-making processes.

💻 Team & Mantainers

• [Founders & Main Contributors]
  • Marco Picone - University of Modena & Reggio Emilia, Italy - (Link)
• [Key Contributors]
  • Samuele Burattini - University of Bologna, Italy - (Link)
• [Additional Contributors]
  • Marta Spadoni - University of Bologna, Italy - Master Thesis 2022

📜 Scientitic Citation & References

If you use the WLDT Library in a Scientific Paper please use this reference:

@article{PICONE2021100661,
    title = {WLDT: A general purpose library to build IoT digital twins},
    journal = {SoftwareX},
    volume = {13},
    pages = {100661},
    year = {2021},
    issn = {2352-7110},
    doi = {https://doi.org/10.1016/j.softx.2021.100661},
    url = {https://www.sciencedirect.com/science/article/pii/S2352711021000066},
    author = {Marco Picone and Marco Mamei and Franco Zambonelli},
    keywords = {Internet of Things, Digital twin, Library, Software agent}
}

📨 Community

Join our community and contribute to the advancement of Digital Twin technology with White Label Digital Twins!

WLDT questions, feedback and discussions are tracked using slack channels in the WLDT Slack Workspace.

The workspace is available here: WLDT Slack Workspace

New users first need to join the MEC Sandbox slack workspace by creating a new account using the invitation link provided here: Join the WLDT Slack Workspace

🐛 Reporting Issues

WLDT issues should be reported on Slack, where they can be discussed with the core team that maintains the WLDT Library.