feat: add `litestar` classifier

[JacobCoffee]

Adds classifiers for the https://github.com/litestar-org/litestar project that has ~6,000 stars on GitHub and has projects used by companies like @Scalar, @Mozilla, @googlecloudplatform, the EU's @eea to name a few.

Request to add a new Trove classifier.

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

• Framework :: Litestar
• Framework :: Litestar :: 2
• Framework :: Litestar :: 3

Why do you want to add this classifier?

Brief:

• This is an ASGI framework and we would like to classify it as such.

Why not use current ones?

• There are no proper Framework classifiers as they do not exist (yet).

How much usage?

• The core project along with other published organization repos, and whichever the community build with and publish.

Some, not all, existing PyPI packages that would benefit from discoverability by filtering by framework:

• https://pypi.org/project/litestar-users/
• https://pypi.org/project/litestar-vite/
• https://pypi.org/project/sqladmin-litestar/
• https://pypi.org/project/litestar-aiosql/
• https://pypi.org/project/litestar-asyncpg/
• https://pypi.org/project/litestar-granian/
• https://pypi.org/project/litestar-htmx/
• https://pypi.org/project/litestar-oracledb/
• https://pypi.org/project/litestar-piccolo/
• https://pypi.org/project/litestar-saq/
• https://pypi.org/project/litestar-socketify/
• https://pypi.org/project/litestar-svcs/

[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!

[sobolevn]

Friendly ping :) Two years have passed, looks like Litestar is even more mature now with ~7k stars and with many real-life plugins, which can be found here: https://pypi.org/search/?q=litestar

I hope that this will be merged 🙏