Cogsworth

<h1 align='center'> <picture> <source media="(prefers-color-scheme: dark)" srcset="docs/_static/cogsworth-logo-darkmode.png"> <source media="(prefers-color-scheme: light)" srcset="docs/_static/cogsworth-logo.png"> <img width=500 alt='cogsworth-logo' src="docs/_static/cogsworth-logo.png"> </picture> <br> <a href="https://raw.githubusercontent.com/TomWagg/cogsworth/paper/paper/ApJS/apjs_paper.pdf"> <img src="https://img.shields.io/badge/read-paper-blue.svg?style=flat" alt="Read the article"/> </a> <a href='https://cogsworth.readthedocs.io/en/latest/?badge=latest'> <img src='https://readthedocs.org/projects/cogsworth/badge/?version=latest' alt='Documentation Status' /> </a> <a href="https://codecov.io/github/TomWagg/cogsworth" > <img src="https://codecov.io/github/TomWagg/cogsworth/graph/badge.svg?token=L2WGWNLJQU"/> </a> <a href="https://github.com/TomWagg/cogsworth/actions/workflows/test_cogsworth.yml" > <img src="https://github.com/TomWagg/cogsworth/actions/workflows/test_cogsworth.yml/badge.svg"/> </a> <a href="mailto:tomjwagg@gmail.com"> <img src="https://img.shields.io/badge/contact-authors-blueviolet.svg?style=flat" alt="Email the authors"/> </a> </h1> <h4 align="center">cogsworth is a Python package for performing seamlessly self-consistent population synthesis and galactic dynamics simulations!</h4>

Installation

A quick and easy pip install cogsworth will cover most use cases, but we recommend using a conda environment as well. Check out the full instructions here.

Documentation

You can learn all about cogsworth from our collection of tutorials, examples and in-depth case studies on our online documentation here.