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

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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.

> Learn more about the benefits of peer review.
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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.

> Learn About Community Partners
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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.

> Read our packaging guide

Building Diverse Community Around Python Scientific Software

Image showing 3 people working at 2 computers during a spring at pyCon USA 2023.

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.

View All Posts

Recently Accepted Python Packages

QuadratiK

Raktim Mukhopadhyay

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.


View All Accepted Packages