We build diverse community that supports free and open Python tools for processing scientific data. We also build technical skills needed to contribute to open source and that support open science. Join our global community.
Peer review of Python software to support open science
Python Package Peer Review
We offer peer review of Python software to increase the quality, usability and long term maintenance of the open source tools that drive open science. JOSS accepts our review as theirs so you can get the benefits of pyOpenSci and JOSS through one review.
Community Partnerships
We partner with domain-specific scientific Python communities such as Pangeo who want to review affiliated packages. Through this collaboration, we develop community-specific standards that are used in our reviews to evaluate whether a package meets affiliation requirements. This removes the need for communities to develop their own peer review process.
Simplifying Packaging
We are creating a beginner-friendly, community-driven Python packaging guide. Our guide is reviewed by members of the Python Packaging Authority, maintainers of core packaging tools and members of the scientific Python community. It recommends best practices for you to follow when creating a Python package.
Building Diverse Community Around Python Scientific Software
Peer review mentorship program
We are building diverse community around the scientific packages that drive open science. We recruit and support editors and reviewers from different backgrounds and gender-identities in each review that we perform.
Are you new to peer review? We offer a mentorship program for anyone interested in participating in peer review but who might like a bit of support.
New pyOpenSci contributors
Mason Ng
Massachusetts Institute of Technology
Daniela Huppenkothen
SRON Netherlands Institute for Space Research
Recent blog posts & updates
The Human Dimension to Clean, Distributable, and Documented Data Science Code
Discover how to create clean, accessible, and impactful data science code by focusing on the human side of coding practices. Here, Eric Ma shares insights from his talk at the 2024 pyOpenSci Fall Festival. Learn key open science principles, including readability, cognitive load, and the toolmaker’s mindset, and explore practical strategies to enhance your work
pyOpenSci celebrates Inessa Pawson
Inessa’s leadership and dedication have profoundly shaped the open source community, from NumPy to NumFOCUS. Learn more about her contributions and impact.
A Blueprint for the Future: pyOpenSci's Sustainability Model
pyOpenSci is exploring various sustainability methods to supplement our valued grant funding. Learn more about what we are exploring.
Recently Accepted Python Packages
sourmash
sourmash
is a command line tool and Python library for sketching collections of DNA, RNA, and amino acid k-mers for biological sequence search, comparison, and analysis.
rdata
Read R datasets from Python.
Stingray
A spectral-timing software package for astrophysical X-ray (and other) data
pooltool
Pooltool is a general purpose billiards simulator crafted specifically for science and engineering.