pyOpenSci Meeting Notes - 9 April 2020#

Attendees#

Leah Wasser, Earth Lab, CU Boulder
Max Joseph, Earth Lab/North Central Climate Adaptation Science Center, CU Boulder
Philip Meier, inIT- Institute Industrial IT, TH-OWL (Germany)
Jenny Palomino, Earth Lab/North Central Climate Adaptation Science Center, CU Boulder
David Nicholson
moritz Lurig
Daniel Chen, Virginia Tech

Phenopype – is more on the computer vision end of things so it’s likely in scope for pyopensci. lets request a submission!
- looking for an editor for this submission
Packages that have more advanced algorithms where reviewers might be more limited,
We should decvelop a relationship with methods in ecology and evaluations
Pystiche – deep learning, goal of reproducing papers in the literature. is likely going to submit to joss regardless…
- to review this – we’d want to ensure reviewers could assess the “correctness”
- Maybe one reviewer with domain depth in neural style transfer to focus on the correctness of the implementation, and another reviewer with a background in deep learning with pytorch and some python library dev. experience that would evaluate the docs, tests, etc.

obspy – we should make a decision

Provide a few options for him to fix this issue:

Are there options to pull out pieces of it for pyOpenSci vs io stuff that might be more difficult to get passing tests?
Are there things we could do to support them in fixing the test like mocking servers…