pyOpenSci Blog

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...

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 ...

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 abo...

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 ...

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 comm...

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. Fe...

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 p...

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 movi...

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 involve...

MovingPandas is an easy to use toolkit for exploring movement data that has recently passed the PyOpenSci review.

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. Le...

pyOpenSci is a community organization devoted to the development of robust open source Python software to support science.