django-tastypie VS Python Fire

Unfortunately tastypie doesn't yet work with Django 4.1 - I logged this bug a few weeks ago https://github.com/django-tastypie/django-tastypie/issues/1640

Other than DRF, TastyPie is the other REST API framework for Django I had used in the past.

For an API, if you have a backend like Django (which I admit has a solid learning curve) you can make quick APIs with addons like django rest framework, or tastypie. The most recent I saw was django-ninja, but I have yet to try that out. I think an ML / cookie cutter plugin would be pretty interesting to be honest. I'll keep a look out and see, but /u/halfourname is correct, the flexibility would have penalties. Usually they're very narrow in scope.

But the django-tastypie GitHub repo shows there's recent activity and it now supports "Django 2.2, 3.2 (LTS releases) or Django 4.0 (latest release)".

The cli tool [fire](https://github.com/google/python-fire/blob/master/docs/guide...) has a nifty feature where it can generate a cli for any file for you.

So random and math are somewhat usable that way

    $ python -m fire random uniform 0 1

With python-fire you can use either function or class to create your subcommands. But I find working with classes more intuitive and manageable. Our first command is going to be a sub-command that shows us the UTC time.

Have you checked out fire? Personally, I think it's a really elegant solution to turning a callable object into command line. Plus, the chaining function calls feature lets you build some pretty complex command line patterns likes you never seen with other frameworks. Definitely worth giving it a try!

I started with click but found python fire to be so much easier to use.

I highly recommend checking out fire for adding a CLI quickly to little utility scripts that aren't going to be published to the world but just for you.

python fire autogenerates CLI wrappers for python modules, which really synergizes with method-chaining APIs like pandas.

Fire can basically do the first step (object -> CLI):

https://github.com/google/python-fire

Gooey can do (CLI -> GUI):

https://github.com/chriskiehl/Gooey

also, while we're on the subject, fire may not be the same kind of workhorse as argparse or click, but for really simple stuff it's pretty awesome

I'm relatively new to Go (coming from Python) so I haven't been using Cobra (or Go, for that matter) for long but it's clearly very polished -- only friction I was experiencing with it is there's a lot of boilerplate to creating commands and subcommands, that IMO (idea as proven by python-fire) can be naturally (better) expressed as types / fields / methods that are already built into the language.