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APE 22: Update Affiliated process (#373)
* APE 22: Update Affiliated process
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‎affiliated/README.md

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### Affiliated package documents
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# Affiliated package documents
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This folder holds documents and policies about the affiliated package process.
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This folder holds documents and policies about the Astropy Affiliated package process.
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As per [APE 22](https://github.com/astropy/astropy-APEs/blob/main/APE22.rst) that was
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accepted in January 2024, Astropy now partners with [pyOpenSci](https://www.pyopensci.org/)
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in this process.
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To that effect, most of the process now follows what pyOpenSci has established here:
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:cherry_blossom: https://www.pyopensci.org/software-peer-review/ :cherry_blossom:
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And here:
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:star: https://www.astropy.org/affiliated/ :star:
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This folder *complements* the above:
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* `affiliated_package_review_guidelines.md` lays out Astropy-specific guidelines
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on top of what pyOpenSci reviewers already look for in their checklists.

‎affiliated/affiliated_package_review_guidelines.md

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If you are reading this because you have accepted to review an affiliated
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package submission, thank you for taking the time to do this!
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Note that unlike for a paper where the reviews from the referee are passed on to
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the authors, one of the coordinators will also review the package and will
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create a combined report, so the report you write may not be seen by the
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authors as-is. Reports should be emailed privately back to the coordinator that
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contacted you.
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<b>Your review and identity will be public.</b>
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Reviewing a package involves assessing how well the package does in several
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areas, which we outline below. As a reviewer it is is expected that you review
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on these criteria, and it is sufficient to *solely* use these criteria .
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However, feel free to bring up any other aspect which you think is important.
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For the categories below, you can let us know which of the 'traffic light'
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levels you think the package should be rated as, in addition to providing
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comments in cases where things aren't perfect.
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In general we use the following color-coding, which also determines if a package
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is accepted after its first review:
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The basic reviews follow pyOpenSci standards:
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<table>
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<tr>
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<td width=100><img src="https://img.shields.io/badge/Red-red.svg" alt="Red"></td>
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<td>Affiliated packages can only be accepted into the list if there are no red scores. Existing affiliated packages that have one category that drops down to red don’t get automatically kicked out, but they should resolve this, otherwise the package will be de-listed.</td>
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</tr>
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<tr>
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<td><img src="https://img.shields.io/badge/Orange-orange.svg" alt="Orange"></td>
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<td>Having orange scores is fine, but is both a warning to the user that not all is perfect about the package, and an incentive for developers to improve and reach green.</td>
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</tr>
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<tr>
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<td><img src="https://img.shields.io/badge/Green-brightgreen.svg" alt="Green"></td>
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<td>This is the standard we want all packages to aim for. Packages that have all-green scores may be featured in a separate table for well-maintained and supported packages.</td>
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</tr>
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</table>
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* [Reviewer Guide](https://www.pyopensci.org/software-peer-review/how-to/reviewer-guide.html) is for you.
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* [Editor Guide](https://www.pyopensci.org/software-peer-review/how-to/editors-guide.html) is for the Astropy Editor working with you.
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The document also includes ``monospaced keywords`` for the categories and levels. These are the keywords and values to be used in the [registry.json](http://www.astropy.org/affiliated/registry.json) file that is the canonical source for affiliated package information.
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In addition to the above, here are some Astropy-specific guidelines:
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The categories in which we assess the package are the following:
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```markdown
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#### Astropy-specific
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* Functionality (``'functionality'``)
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* Integration with Astropy ecosystem (``'ecointegration'``)
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* Documentation (``'documentation'``)
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* Testing (``'testing'``)
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* Development status (``'devstatus'``)
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* Python 3 compatibility (``'python3'``)
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- [ ] **Relevance to astronomy/astrophysics:**
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- [ ] **Out of scope:** Not useful for astronomers, or specific to one project/collaboration. (This is a basis for rejection.)
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- [ ] **Specialized package:** Useful to astronomers working in a very specific domain/field, or with a specific telescope instrument and usable not just by a single collaboration but any astronomers within that domain. Packages such as sncosmo fall into this category.
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- [ ] **General package:** Package that is useful for astronomers across more than a single field/instrument/telescope. Packages such as astroquery or astroplan fall into this category.
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- [ ] **Integration with Astropy ecosystem:**
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- [ ] **No integration:** Does not use Astropy or other Astropy Affiliated packages anywhere where it should be possible, and/or uses other libraries instead, or unnecessarily duplicates functionality found in Astropy or other Astropy Affiliated packages. (This is a basis for rejection.)
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- [ ] **Partial integration:** Makes an effort to use Astropy or other Astropy Affiliated packages in places, but still has other places where this could be done.
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- [ ] **Good integration:** Uses Astropy or other Astropy Affiliated packages wherever possible. Where not, there are good reasons not to.
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```
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### Functionality ('functionality')
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For specific actionable items, reviewer or editor are free to open issues on the package repository
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directly and link them back to the application (this would be a GitHub issue in [pyOpenSci software submission repository](https://github.com/pyOpenSci/software-submission/issues). If some of the issues are to justify a rejection, that must be made clear in the review.
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We first need to make sure that the scope of the package is relevant for the affiliated package system. The scopes are:
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<table>
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<tr>
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<td width=150><img src="https://img.shields.io/badge/Out%20of%20scope-red.svg" alt="Out of scope"></td>
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<td>Not useful for astronomers, or specific to one project/collaboration.</td>
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</tr>
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<td><img src="https://img.shields.io/badge/Specialized%20package-brightgreen.svg" alt="Specialized package"></td>
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<td>Useful to astronomers working in a very specific domain/field, or with a specific telescope instrument and usable not just by a single collaboration but any astronomers within that domain. Packages such as sncosmo fall into this category.</td>
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</tr>
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<td><img src="https://img.shields.io/badge/General%20package-brightgreen.svg" alt="Green"></td>
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<td>Package that is useful for astronomers across more than a single field/instrument/telescope. Packages such as astroquery or astroplan fall into this category.</td>
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</tr>
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</table>
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Note that general is not necessary better than specific, it’s just a way to make sure we can present these separately.
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### Integration with Astropy ecosystem ('ecointegration')
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Next up, we need to check how well the package fits in to the existing Astropy
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ecosystem - does it make use of existing functionality, or does it duplicate it?
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<table>
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<tr>
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<td width=150><img src="https://img.shields.io/badge/Red-red.svg" alt="Red"></td>
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<td>Does not use Astropy or other affiliated packages anywhere where it should be possible, and/or uses other libraries instead, or unnecessarily duplicates functionality found in Astropy or other affiliated packages.</td>
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</tr>
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<td><img src="https://img.shields.io/badge/Orange-orange.svg" alt="Orange"></td>
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<td>Makes an effort to use Astropy or other affiliated packages in places, but still has other places where this could be done but isn’t</td>
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</tr>
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<td><img src="https://img.shields.io/badge/Green-brightgreen.svg" alt="Green"></td>
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<td>Uses Astropy or other affiliated packages wherever possible.</td>
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</tr>
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</table>
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### Documentation ('documentation')
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No code is complete without documentation! Take a look at the documentation (if
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it exists) and see how the package fares:
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<table>
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<td width=150><img src="https://img.shields.io/badge/Red-red.svg" alt="Red"></td>
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<td>No documentation or some documentation, but very bare bones/minimal and incomplete or incorrect in a number of places.</td>
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<td><img src="https://img.shields.io/badge/Orange-orange.svg" alt="Orange"></td>
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<td>Reasonable documentation (which could be a very well written README), installation instructions and at least one usage example, but some parts missing.</td>
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</tr>
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<td><img src="https://img.shields.io/badge/Green-brightgreen.svg" alt="Green"></td>
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<td>Extensive documentation, including at least: motivation/scope of package, installation instructions,
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usage examples, and API documentation.
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A preferred method of citation of this package and citations to relevant papers and software included where appropriate.
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In terms of infrastructure, the documentation should be automatically built on readthedocs.org.
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If appropriate, one or more tutorials should be included in the Astropy tutorials at http://tutorials.astropy.org.</td>
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</tr>
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</table>
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### Testing ('testing')
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In our terminology, “tests” refer to those that can be run in an automated way,
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and we do not consider examples that need to be run and/or checked manually to
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be acceptable as the primary way of satisfying “tests”
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<table>
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<td width=150><img src="https://img.shields.io/badge/Red-red.svg" alt="Red"></td>
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<td>No tests or tests that are not trivial to run or don’t use a standard testing framework, or low test coverage (no exact threshold for coverage since this is not always easy to measure, but in this category most of the code is not covered).</td>
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</tr>
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<td><img src="https://img.shields.io/badge/Orange-orange.svg" alt="Orange"></td>
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<td>A reasonable fraction of the code is covered by tests, but still some parts of the code that are missing tests. To be in this category, packages should use a standard framework (pytest, nose, etc.) and be runnable with a single command.</td>
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</tr>
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<td><img src="https://img.shields.io/badge/Green-brightgreen.svg" alt="Green"></td>
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<td>Test coverage is very high (for example 90% or more), tests use a standard framework (pytest, nose, etc.) and are easy to run and continuous integration is used to ensure package stability over time.</td>
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</tr>
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</table>
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Test coverage can be tricky to measure, so this will be carefully assessed for
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each package. The main idea is to determine whether it is low, medium or high
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compared to what one might realistically achieve.
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### Development status ('devstatus')
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<table>
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<td width=200><img src="https://img.shields.io/badge/Red-red.svg" alt="Red"></td>
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<td>No active development/maintainers, even if stable releases exist, if package is not or no longer fully functional.</td>
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<td><img src="https://img.shields.io/badge/Heavy%20development-orange.svg" alt="Heavy Development"></td>
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<td>Stable releases exist, but still under heavy development (so API changes can be frequent).</td>
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</tr>
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<td><img src="https://img.shields.io/badge/Functional%20but%20unmaintained-orange.svg" alt="Functional but unmaintained"></td>
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<td>Stable releases exist and there are no active developers/maintainers but package remains mostly functional.</td>
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<td><img src="https://img.shields.io/badge/Functional%20but%20low%20activity-orange.svg" alt="Functional but low activity"></td>
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<td>Stable releases exist but the maintainers only make occasional comments/commits (and package is not in excellent condition, because otherwise it’s fine to have a completely stable package with little activity if it can be considered 'finished')</td>
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<td><img src="https://img.shields.io/badge/Green-brightgreen.svg" alt="Green"></td>
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<td>Package has stable releases, and package is actively developed (as needed). A metric for active development is whether most recently-opened issues have some kind of reply from maintainers.</td>
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</table>
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### Python 3 compatibility ('python3')
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<table>
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<td width=150><img src="https://img.shields.io/badge/Red-red.svg" alt="Red"></td>
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<td>Not compatible with Python 3</td>
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</tr>
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<td><img src="https://img.shields.io/badge/Green-brightgreen.svg" alt="Green"></td>
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<td>Compatible with Python 3</td>
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</tr>
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</table>
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When in doubt, please consult with Astropy Affiliated Package Editors.

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