The interTwin Digital Twin Engine (DTE) Core Modules enable the development and management of data-driven and compute-intensive applications by providing capabilities such as workflow composition, data fusion, AI workflow and method lifecycle management, real time acquisition and data analytics, validation, verification, and uncertainty tracing for model quality.
DTE Core Modules

interTwin DTE Core Modules

An open-source platform to support the event-driven serverless computing model for data-processing applications. It can

An open-source command-line tool to easily manage the creation of event-driven data processing flows.

Providing the Python bindings for Ophidia, a High-Performance Data Analytics framework

An open-source service to support provenance management within scientific workflows.

Platform for quality assessment and awarding of multiple digital objects (source code, services, data)

Trigger SQAaaS quality assessment service from GitHub actions

Command line interface to interact with SQAaaS API from scripts

An open-source Infrastructure as Code (IaC) tool that deploys complex and customized virtual infrastructures on

Ansible playbooks and roles and any other artefacts needed in the deployment of the selected

A set of TOSCA templates to deploy Big Data Analytics tools

A Python library that streamlines AI workflows, while reducing coding complexity.

An API that supports the management of workflows, job handling, and linking
