FINAL CUT VS typer

PSA: Not Apple's Final Cut, but rather this:

https://github.com/gansm/finalcut

Visit the GitHub repository to get the latest version.

Maybe FINAL CUT is something for you. It has its own widgets and can be controlled with the mouse or keyboard.

The reason for my posting is not the XPM viewer. The primary reason was the data processing class, which allows you to display logos or other simple graphics in your programs.

I implemented for FINAL CUT a simple data processing class and an image viewer for X PixMap (XPM) images. It allows displaying XPM icons in the terminal. Maybe someone will find it helpful.

If you want to write in C++, you can have a look at my small TUI framework FINAL CUT.

I have been using Typer on every one of my CLI projects which uses Click under the hood. The documentation is fantastic, the CLI app it produces looks great and lets you create things quickly. I high recommend it.

https://typer.tiangolo.com/

Adding CLI capabilities. My preferred library here is typer.

I just heard about this but it seems to be pretty much the type of thing you want and want fast.

Docstrings are for documenting how a function/ class/ method/ module works. Often you don't need to add a docstring to your main function because no one will be importing it to use elsewhere. And if you want it to run as a CLI, then there are better ways to document the available options. For example, typer does most of it for you, or in click you add the help text to the decorator.

Most computing tasks in airflow DAGs are KubernetesPodOperator containing a CLI (Python Typer). It allows us to pass arguments easily to run DAG manually if needed (the new UI to pass arguments to DAG in airflow 2.6 is really nice). Arguments allow us to replay DAG easily (change start / end dates for instance).

So it's basically the main .gitlab-ci.yml file plus a separate Python CI app using Typer for the AWS instrumentation.

Similarly for Typer, which is literally "the FastAPI of CLIs"[1]. Handy to type your `main` parameters and have CLI argument parsing. For more complicated cases, it's a wrapper around Click.

[1] https://typer.tiangolo.com/

interesting that you hate python, but love Click. Did you try Typer which uses Click underneath?