Add Pycsou Framework trove-classifier

[joanrue]

Request to add a new Trove classifier.

The name of the classifier(s) you would like to add:

• Framework :: Pycsou

Why do you want to add this classifier?

The latest version of Pycsou, v2, introduces an exciting new feature for users: the ability to develop plugin extensions through setuptools entrypoints. To make it even more convenient for users, we're currently working on a catalogue website that will showcase these plugins. The website will utilize the trove classifier to automatically discover and display the available plugins, making it easy for users to find and implement the ones they need.

[di]

Hi! Thanks for the request. The PyPI moderators are in the process of developing a few guidelines for the creation of new Framework classifiers. Because removing classifiers is very difficult, and the longer the classifier list gets the harder it is to browse, I think we're expecting the bar to add new ones to be relatively high. Currently, we're looking at these guidelines:

• New Framework classifiers should be created if they are "notable;" and
• They will be of immediate use to existing projects (in other words, no creating classifiers simply in anticipation of future uses)

We understand that "notability" is subjective and we'd appreciate help judging that.

As to the other guideline ('immediate use to existing projects'), it's been suggested that

• Requestors can demonstrate this by providing links to 10 or more existing PyPI projects that have expressed a desire to use the classifier; or
• Another way to demonstrate this would be to have 10 or more other project maintainers submit comments on the requesting issue about their desire to use the classifier.

Thanks!

[joanrue]

Hi @di ! Thank you for your feedback. Could you please provide further clarification on the process for interested maintainers to endorse this trove-classifier? For instance, would it be sufficient for ten developers to leave a comment on this pull-request to indicate their support? Many thanks!

[di]

Yep, that's the fourth bullet point above 🙂

[ThomasDeb]

I endorse the proposal for a Pycsou trove-classifier on behalf of UncertaintyQuant, an uncertainty quantification software package built on Pycsou.

[matthieumeo]

Hi there,

As a developer of Pycsou-GSP, an extension to Pycsou for graph signal processing, I fully support the introduction of a Pycsou trove-classifier on PyPI. This would not only benefit my software, but also help other Pycsou-based projects gain more visibility and recognition.

[SepandKashani]

Hello,

I am the main developer of HVOX, a novel radio-astronomy gridder based on the Heisenberg Voxelization method.

HVOX is strongly tied to the Pycsou framework, but our goal is to release it as an extension package since it is domain-specific software.

A dedicated framework classifier is beneficial to the community as it allows faster dissemination of novel ideas, while simultaneously easing use for beginners.

I also plan to submit another extension package to add ray-tracing operators to Pycsou.

I therefore endorse this proposal.

[AdriaJ]

Good afternoon, As a developer of pyfw-lasso, a python software that integrates a state-of-the-art optimization method for the LASSO problem, which fully relies on Pycsou, I strongly support the proposal for a Pycsou trove-classifier on PyPI. This would make it easier for potential users to find, deploy and use our software.

[7804567]

Good morning, Having a Pycsou trove-classifier added to PyPI would significantly enhance the visibility of my in progess software package, EnvTrack, built for spatio-temporal (environmental) monitoring.

[dhamm97]

Hello,

Listing my TokamakRec package (plasma imaging for Tokamak data) in the Pycsou plugin catalogue is crucial for reaching a wider audience, and a Pycsou trove-classifier is a necessary prerequisite for this. I urge for its implementation on PyPl.

[di]

Thanks folks! This will be available once this dependency is updated for PyPI.