pyOpenSci learned a lot about resilience in 2025. As we navigate generative AIs impact on scientific open source and shifting funding landscapes, pyOpenSci is building resilience through training, sponsorship, and community-centered leadership. Learn more about our plan.
CyNetDiff is a Python package for accelerating network diffusion simulations, recently accepted into the pyOpenSci ecosystem.
Generative AI products are reducing the effort and skill necessary to generate large amounts of code. In some cases, this strains volunteer peer review programs like ours. Learn about pyOpenSci's approach to developing a Generative AI policy for our software peer review program.
In selecting one workflow to package a Python project, pyOpenSci chooses between a lot of code tools. These choices often come after months of exploration and debate. Find out what motivates us to make the decisions that we do.
Building resilience in open science starts with collaboration. Learn how pyOpenSci is partnering with the Carpentries, Prereview, Open Life Sciences, and rOpenSci to reinvision how open communities can work together to share the future of open science in uncertain times.
This summer brought incredible momentum to pyOpenSci—from 60+ attendees at our SciPy session to 13 packages actively under review and exciting new leadership transitions. Join our November Python packaging workshop or explore how you can get involved in peer review.
The Executive Council drives pyOpenSci's mission and vision. Learn more about how the council works, and about the current rotation that is happening as our board chair steps down and another member joins us marking a milestone of incredible growth for pyOpenSci.
Meet Mandy Moore, our new Communications and Community Lead! Mandy is bringing 15+ years of experience in marketing, content strategy, and community engagement to help make open science more accessible and welcoming. Learn more about her work and story in this post.
We held an incredibly informative community session this year at the SciPy meeting in Tacoma Washington. We asked the community what their open source Python pain points were. Learn more about what we learned in this interactive session.
Explore pyOpenSci’s highlights from SciPy 2025—from Python packaging workshops and talks to first-time contributions, collaboration, and open science in action.
pyOpenSci is excited to be at SciPy 2025 this year! Find us at our second packaging tutorial, a birds of a feather session and hanging out in sessions where our community members are leading events and talks. Don't forget to join us for our beginner-friendly sprint after the meeting!
pyOpenSci is excited to be at PyCon US for the third year in a row! Find us at the Maintainers summit on May 16th and then join us for a beginner-friendly sprint after the meeting.
pyOpenSci is growing a global, vibrant and inclusive open source community where everyone from all backgrounds and identities can contribute to better, more open science. Join us in breaking down barriers and building a future where all voices shape scientific discovery.
Contributing to open source isn’t just about code—it’s also about navigating social norms. Discover pyOpenSci’s new Contribute to Open Source lessons, which cover both the technical and social aspects, and are free for anyone to use.
Learn how to secure your Python package PyPI publishing workflows and protect your package from attacks. This post covers actionable steps, using PyPI Trusted Publisher, and sanitizing workflows, to ensure your projects stay safe.
pyOpenSci ran 6 workshops in 2024, 4 of which happened during our Fall Festival! Learn more about how the workshops went and watch the keynote talks that introduced Quarto Live, MystMarkdown and stories about reproducibility, open science and open source in this blog.
2024 was a transformative year for pyOpenSci. Through training, mentorship, and peer review, we expanded our community, created free educational resources, and empowered scientists worldwide. Here’s what we built together—and why it matters now more than ever.
QuadratiK provides a set of goodness-of-fit tests, a clustering technique using kernel-based quadratic distances, and algorithms for generating random samples from Poisson kernel-based distributions (PKBD). QuadratiK has recently been accepted into the pyOpenSci ecosystem.
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!
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
Inessa’s leadership and dedication have profoundly shaped the open source community, from NumPy to NumFOCUS. Learn more about her contributions and impact.
pyOpenSci is exploring various sustainability methods to supplement our valued grant funding. Learn more about what we are exploring.
Learn about what pyOpenSci has accomplished in the last two years, including the evolution of our packaging guide, the expansion of our peer review process, and the vibrant community we've built.
pyOpenSci had an incredibly impactful SciPy conference this year in Tacoma Washingon. I gave a talk and we lead a workshop on Python packaging and we had 39 issues and pull requests submitted during our sprints. Learn more about both the SciPy meeting and my expeirence SciPy in Tacoma, Washington this year.
Welcome to the first edition of pyOpenSci's Community News newsletter, where we summarize and share conversations, contributions, and news related to our diverse and vibrant community! Read on for insights into running pyOpenSci sprints, Python packaging guide Spanish translation efforts, and using Hatch to create and maintain Python.
pyOpenSci holds beginner-friendly sprints with the goal of making new contributors feel welcome. Learn about our latest sprint at PyCon US 2024, and tips we use to make sprints accessible to more people.
automata is a package implementing structures and algorithms for manipulating finite automata, pushdown automata, and Turing machines, that was recently accepted into the pyOpenSci ecosystem.
We've got another incredible conference on the horizon, and wanted to share the talks, workshops, and sprints where you can find members of the pyOpenSci community!
Fun fact: there are a multitude of ways for you to get involved with pyOpenSci! From social media to in-person events to joining our editoral team, this guide walks you through every opportunity available.
A blog post from the Executive Director of pyOpenSci on Python packaging, technical things and imposter syndrome in data science.
SLEPLET is a tool to create Slepian scale-discretised wavelets that has recently passed the PyOpenSci review.
Learn about pyOpenSci's experience at PyCon US 2024, how pyOpenSci is making Python packaging more accessible and beginner friendly and how the Python community is helping us get there.
We're starting June with a record number of Python package submissions, a call for editors, a PyCon US reflection, and some SciPy meeting news!
Shake off those post-PyCon blues by adding our Open Science Fall Festival to your calendar!
pyOpenSci is looking for volunteers from a wide array of scientific backgrounds to join our Editorial Board.
PyCon US 2024 is finally here, and we can't wait to connect with you! This post has all of the talks, panels, summits, and keynotes where pyOpenSci community members (and friends!) will be speaking.
May has brought two new packages, the first (of many!) pyOpenSci workshops, all things pyOpenSci and PyCon, and several incredible speaking opportunities. Read on to learn more!
rdata is a library for reading R datasets and converting them to Python objects that was recently accepted into the pyOpenSci ecosystem. Learn more about rdata.
We're excited to share information about the pyOpenSci approach to education, open education resources, and announce an upcoming workshop focused on Python packaging
New contributors, a new package, and a few new social campaigns, all to keep you connected with the pyOpenSci community!
New partnerships, packages, and conference announcements!
CZI has received funding from the Chan Zuckerberg Foundation. Learn more about how this funding will support pyOpenSci over the next 2 years.
Learn more about our new pyOpenSci Community Manager, Jesse Mostipak, in her first pyOpenSci blog post!
pyOpenSci held a community birds of a feather session at the 2023 RSE meeting in Chicago where we discussed peer review and packaging pain points. Learn about the packaging pain points that they RSE-Python community experiences and how pyOpenSci is addressing Python packaging pain points.
This position has been filled. pyOpenSci is hiring a community manager. This position will oversee numerous aspects of pyOpenSci's community building efforts including managing social media, our slack organization and writing blog posts. It will also be heavily involved in our DEIA related activities.
The SciPy 2023 meeting did not disappoint this year. We have a whole new group of contributors helping to build this vibrant and diverse Python open science community. Learn about my experience there.
This year I attended by first PyCon US meeting representing pyOpenSci. In this blog I talk about my experience, highlighting the sprints we lead and talks on packaging.
David Nicholson gave a lightning talk about his experience going through the pyOpenSci peer review process with his Python package called Crowsetta. Learn more about the people involved in peer review and watch the 5 minute video here.
pyOpenSci has published the packaging structure and tool section of it's guide. This chapter has been reviewed by dozens of core community members to ensure accuracy and is community-driven.
How should pyOpenSci measure Python open source package health and level of maintenance and usability? Here I summarize a conversation held on twitter around this very topic. Feedback is welcome!
Collecting baseline data that aligns with the goals and outcomes of your project, program or organization is critical to do at the beginning. Here I briefly explain why Python package health metrics are so important to the long-term success of pyOpenSci.
Free and open source software tools are the foundation for thousands if not millions of scientific workflows. Yet, it is rare that users fully understand it's importance in moving science forward. Here, I discuss the value of free and open source software for science; why you as a scientist should care; and what pyOpenSci is doing to try to support Python scientific tools for science.
pyOpenSci is developing its open peer review process for Python scientific software. Learn about our structure and if you are interested, apply to be on our editorial board.
pyOpenSci has recently transitioned to a fiscal sponsor and has a new executive director - Leah Wasser. Learn more about our goals over the next few years and how to get involved with the community.
Several pyOpenSci and Open Source Software events will occur at AGU 2019. Come learn more about open source Python tools for science.
Pandera is a a flexible and expressive toolkit for performing statistical validation checks on pandas data structures that was recently accepted into the pyOpenSci ecosystem. Learn more about Pandera.
pyOpenSci minimal mistakes theme documentation.
pyOpenSci is a community organization devoted to the development of robust open source Python software to support science.