A Python package that helps users run containerized applications on HPC systems
Kunefe is a Python package that helps users run containerized applications (Docker) on HPC systems. It can:
In order to run your application with kunefe, you will need your application to be containerized. If your application is not containerized, you can follow this guide to learn how to do that.
Note: If Apptainer is not available on the remote system, it can be installed using kunefe which will require the following packages to be installed on the remote system: curl rpm2cpio cpio
| fair-software.eu recommendations | |
|---|---|
| howfairis |  |
| (1/5) code repository |  |
| (2/5) license |  |
| (3/5) community registry |   |
| (4/5) citation |  |
| (5/5) checklist |
| Code quality | |
|---|---|
| Static analysis | |
| Coverage |
| GitHub Actions | |
|---|---|
| Build |  |
| Howfairis |  |
| Citation data consistency |  |
| SonarCloud |  |
| MarkDown link checker |  |
To install the latest kunefe release from PyPI, run:
python -m pip install kunefe
To install the development version of kunefe from GitHub repository, do:
python -m pip install git+https://github.com/mess-nlesc/kunefe.git@main
See the examples in examples folder.
See https://readthedocs.org/projects/kunefe/ for the code documentation.
The project setup is documented in project_setup.md. Feel free to remove this document (and/or the link to this document) if you don't need it.
If you want to contribute to the development of kunefe, have a look at the contribution guidelines.
This package was created with Cookiecutter and the NLeSC/python-template.
Modelling Emerging Societal Systems in Mesopotamia
Cerise is a service for running CWL workflows on HPC resources. You add software, tool descriptions, and connection information, then your user runs workflows whenever they want.
A Python 3 library for talking to HPC clusters and supercomputers.
Python wrapper for the Xenon programming interface to various compute and storage resources.
If you are using remote machines to do your computations, and don’t feel like learning and implementing many different APIs, Xenon is the tool for you.