pyOpenSci promotes open and reproducible research through peer-review of scientific Python packages. We also build technical capacity by providing a curated repository of high-quality packages and enabling scientists to write and share their own software. We hope to foster a greater sense of community among scientific Python users so that we can help each other become better programmers and researchers.
pyOpenSci is being modeled after the successful rOpenSci community.
There are many different ways to get involved with pyOpenSci.
- Join a community meeting: We have monthly meetings that you are welcome to attend.
- Submit a package to pyOpenSci. We are looking for Python packages that support scientific Python community. Read more about our review process and scope
- Volunteer to be a reviewer for pyOpenSci. We are looking for people who can help review software packages as they are submitted.
- Spread the word! Please spread the word about this effort. And look for us this summer at the SciPy meeting in Austin, Texas!
pyOpenSci is a new effort being lead by a small team of Python enthusiasts including:
- Leah Wasser, Director of Earth Analytics Education – Earth Lab, University of Colorado – Boulder.
- Max Joseph, Data Scientist – Earth Lab, University of Colorado – Boulder.
- Jenny Palomino, Faculty and Curriculum Developer – Earth Lab, University of Colorado – Boulder.
- Chris Holdgraf, Project Jupyter, Berkeley - BIDS.
- Luiz Irber, DIB Lab – UC Davis
- Paige Bailey, Google
- Kylen Solvik, Graduate Student – Earth Lab, University of Colorado – Boulder.
- Carson Farmer, External advisor – Textile.io.
- Leonardo Uieda, Visiting Researcher – University of Hawai’i at Mānoa – Honolulu.
- Filipe Fernandes, IOOS