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National Digital Twin Programme on GitHub

This GitHub organisation hosts the open-source assets developed by the National Digital Twin Programme (NDTP). Our repositories contain code, tools, and documentation that enable the secure and interoperable sharing of information between digital systems and organisations.

These assets are designed to support developers, integrators, and collaborators working with the foundational components of the UK’s future National Digital Twin ecosystem. These repositories provide practical implementations of our data-sharing architecture, demonstrator applications, and supporting libraries to accelerate adoption and development.


Key Repositories

Integration Architecture (IA)

The Integration Architecture is a federated framework that enables trusted data exchange between organisations. Each participant runs an IA Node, and nodes can share structured data securely under common governance principles.

We provide:

  • The core IA Node reference implementation
  • Deployment templates and Helm charts for cloud-native environments
  • Documentation for implementation, integration, and extension

Demonstrator Applications

These applications illustrate how NDTP technologies can be used to solve real-world problems using data.

  • IRIS – A demonstrator supporting energy-efficiency decision-making for homes
  • LISA – A multi-agency incident management and coordination tool

The following demonstrators are currently under development and will be released in future phases:

  • NOVA, SALUS, and VISTA – Covering renewable energy generation, vulnerable persons support, and emergency planning and response (expected Q4 2025–2026)

Contributing

We welcome community engagement via issues and discussion. While direct code contributions are limited to approved delivery partners at this stage, your feedback helps shape ongoing development.

If you’d like to get involved, please refer to the contributing guidance within our archetypes repository.


Licensing

All code is released under the Apache License 2.0. Documentation and content are published under the Open Government Licence v3.0.

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