A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is better science.
A place to share, review, improve, and transparently learn off of each other’s code. It is an open-source library of tools that we all have access to. It is inspired by the collaborative work of our physics peers in astronomy and their Astropy Project. PyMedPhys is available on PyPI and GitHub.
Get started with a hands-on introduction to PyMedPhys for beginners
Guides and recipes for common problems and tasks
Technical reference for the library (modules, functions and classes), as well as the available command line tools.
Explanation and discussion of key topics and concepts
PyMedPhys is currently within the beta stage of its life-cycle. It will
stay in this stage until the version number leaves 0.x.x and enters
1.x.x. While PyMedPhys is in beta stage, no API is guaranteed to be
stable from one release to the next. In fact, it is very likely that the
entire API will change multiple times before a 1.0.0 release. In practice,
this means that upgrading pymedphys to a new version will possibly break
any code that was using the old version of pymedphys. We try to be abreast of
this by providing details of any breaking changes from one release to the next
within the Release Notes.
PyMedPhys is what it is today due to its contributors. Core contributors and contributors who have been active in the last six months as well as their respective employers are presented below.
- Simon Biggs
- Riverina Cancer Care Centre, Australia
- Matthew Jennings
- Royal Adelaide Hospital, Australia
- Phillip Chlap
- University of New South Wales, Australia
- South Western Sydney Local Health District, Australia
- Pedro Martinez
- University of Calgary, Canada
- Tom Baker Cancer Centre, Canada
- Jacob McAloney
- Riverina Cancer Care Centre, Australia
- Matthew Cooper
- University of Sydney, Australia
