An open API service indexing awesome lists of open source software.

https://github.com/mdanalysis/cookiecutter-mdakit

Cookiecutter for Python packages based on MDAnalysis
https://github.com/mdanalysis/cookiecutter-mdakit

Last synced: 10 months ago
JSON representation

Cookiecutter for Python packages based on MDAnalysis

Awesome Lists containing this project

README

          

# Cookiecutter for MDAnalysis-based packages
[//]: # (Badges)
[![GitHub Actions Build Status](https://github.com/MDAnalysis/cookiecutter-mdakit/actions/workflows/gh-ci.yaml/badge.svg)](https://github.com/MDAnalysis/cookiecutter-mdakit/actions?query=workflow%3A%22Cookiecutter+CI%22)
[![Documentation Status](https://readthedocs.org/projects/cookiecutter-mdakit/badge/?version=latest)](https://www.mdanalysis.org/cookiecutter-mdakit)

A [cookiecutter](https://github.com/audreyr/cookiecutter) template for those interested in developing
packages based on MDAnalysis. Starting repositories can be created from this template so you can focus on what's important: the science!

Examples of generated "cookie" repositories can be found in the branches of https://github.com/MDAnalysis/mdakit-cookie.
This repository is automatically updated by CI in this cookiecutter repository.

## Requirements

* Python 3.9+
* [Cookiecutter](http://cookiecutter.readthedocs.io/en/latest/installation.html) 2+
* [Git](https://git-scm.com/)

## Usage

With [`cookiecutter` installed](https://cookiecutter.readthedocs.io/en/latest/installation.html#install-cookiecutter),
execute the following command inside the folder you want to create the skeletal repository. Follow the prompts or hit enter for the default options.

```bash
cookiecutter gh:MDAnalysis/cookiecutter-mdakit
```

Please see our documentation for more details on how to use the cookiecutter.

## Acknowledgments

This cookiecutter is developed by MDAnalysis, based heavily off the
[Cookiecutter for Computational Molecular Sciences (CMS) Python Packages](https://github.com/MolSSI/cookiecutter-cms)
by Levi N. Naden and Jessica A. Nash
from the [Molecular Sciences Software Institute (MolSSI)](http://molssi.org/) and
Daniel G. A. Smith of [ENTOS](https://www.entos.ai/).

The development of this repository is supported by a grant from the Chan Zuckerberg Initiative under an EOSS4 award.