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
Recent blog posts & updates
pyOpenSci is hiring a Communications Lead
pyOpenSci is hiring a part-time Writer and Social Media Specialist to enhance communication and engagement within the scientific Python community. This flexible, remote role involves creating social media content, newsletters, and blogs and fostering community interaction on social media to support open source and open science. Join us to make a meaningful impact on the open source ecosystem!
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.
Recently Accepted Python Packages
QuadratiK
QuadratiK includes test for multivariate normality, test for uniformity on the sphere, non-parametric two- and k-sample tests, random generation of points from the Poisson kernel-based density and clustering algorithm for spherical data.
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.
THzTools