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.

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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.

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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.

Building Diverse Community Around Python Scientific Software

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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

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.

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Recently Accepted Python Packages


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