AI / Agents

Skills
llms.txt
llms-full.txt

Developers

Thomas Monks

Author

University of Exeter

Amy Heather

Author

University of Exeter

Community

Contributing guide
Full license MIT
Citing json2ciw

Meta

Requires: Python >=3.11

ORCID: Monks All Contributors ORCID: Heather License: MIT DOI

JSON to Ciw (json2ciw)

🎓 A simple tool that can convert JSON file to a functional Ciw simulation model.

License

The materials have been made available under an MIT license. The materials are as-is with no liability for the author. Please provide credit if you reuse the code in your own work.

Citation

If you reuse any of the code, or the tutorial helps you work, please provide a citation.

@software{json2ciw,
  author       = {Monks, Thomas},
  title        = {json2ciw},
  month        = apr,
  year         = 2026,
  publisher    = {Zenodo},
  version      = {v0.10.0},
  doi          = {10.5281/zenodo.18879547},
  url          = {https://doi.org/10.5281/zenodo.18879547},
}

Installation instructions

Installing dependencies

All dependencies are listed in binder/environment.yml and are pulled from conda-forge. To run the code locally, we recommend installing miniforge;

Miniforge is Free and Open Source Software (FOSS) alternative to Anaconda and miniconda that uses conda-forge as the default channel for packages. It installs both conda and mamba (a drop in replacement for conda) package managers. We recommend mamba for faster resolving of dependencies and installation of packages.

Navigate to the repository directory in your terminal (or command prompt), then create the environment:

mamba env create -f binder/environment.yml

Activate the environment:

mamba activate json2ciw

Key files

  • binder/environment.yml - Contains the conda environment if you wish to work the models.
  • CHANGELOG.md - Changelog with record of notable changes to project between versions.
  • CITATION.cff - Citation information for the code.
  • LICENSE - Details of the MIT permissive license of this work.

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Tom Monks
Tom Monks

💻 🎨 📖 🤔 🚧 ⚠️
Amy Heather
Amy Heather

📖

This project follows the all-contributors specification. Contributions of any kind welcome!