Proof of Concept: JUNON Digital Twin (v1.4) -- Prebuilt Image

Context

This repository contains the prebuilt Docker image for the Proof of Concept: JUNON Digital Twin (v1.4d), as referenced in:

Iglesias Vázquez, F. (2025). Proof of Concept: JUNON Digital Twin (v1.4d). TU Wien. https://doi.org/10.48436/b615a-vgd97

Although it is recommended to use the referenced repository directly, this prebuilt image is provided to ensure future reproducibility, especially in cases where building the image or resolving compatibility issues becomes problematic. This version is a byte-perfect snapshot of the environment used in the proof of concept.

All external Docker images are pinned using SHA-256 digests, avoiding mutable tags such as "latest". This ensures that the computational environment can always bereconstructed exactly as described, independent of upstream changes.

Technical details

"python-app_1.4d.tar" is the prebuilt image of python-app module, version 1.4d

"python-app_1.4d.sha256" is the checksum of the python-app_1.4d.tar file.

"docker-compose.yml" uses exact DockerHub module references and the image contained in this repository.

"README.md" contains instructions to use the image in this repository.

Usage

Load the container image via docker load -i python-app_1.4d.tar, and replace the docker-compose.yml from the JUNON Digital Twin (v1.4d) dataset with the variant supplied here.Then, the dataset can be used as per usual.