enh(policy): Scientific application language. #359
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lwasser
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Dec 4, 2025
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lwasser
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I'm happy with this as is. Let's see if anyone else has issues with it and try to merge it by next friday dec 12!!
coatless
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Dec 4, 2025
| Diagram showing the tiers of software in the Python ecosystem starting with Python itself and as you move out, packages become more domain specific. In this image, packages such as xarray and numpy are considered core to scientific Python. Packages and distributions like Astropy, SunPy, and MetPy are considered domain specific. pyOpenSci's review | ||
| process focuses on domain-specific packages and tools that support scientific workflows rather than core infrastructure packages, as | ||
| these packages tend to have more variability in long-term maintenance and | ||
| package infrastructure and quality compared with established core packages. Examples of pyOpenSci-reviewed packages include MovingPandas (geospatial data), Pandera (data validation), PyGMT (geophysical mapping), and xclim (climate data analysis). **Source: ["Jupyter meets earth" project](https://jupytearth.org/jupyter-resources/introduction/ecosystem.html)** |
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Maybe add great-tables for table creation?
coatless
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Dec 4, 2025
| services. For example, a general client for Amazon Web Services data storage would not | ||
| be in scope, but a package that retrieves specific scientific datasets from AWS would be. | ||
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| - Examples: [OpenOmics](https://github.com/pyOpenSci/software-submission/issues/31), [pyDov](https://github.com/pyOpenSci/software-submission/issues/19), [Physcraper](https://github.com/pyOpenSci/software-review/issues/26) |
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Is there a way we can make these example sections more up to date? Maybe a page on the pyopensci website filtering by category?
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Was very little discussion after two weeks, so I had AI take a crack at updating the language around this policy. Closes #350. Has some style changes but should still be appropraite to review. Should continue to discuss and can incorporate further changes.