PaddedViews.jl VS Dash.jl

As sibling posts have pointed out, you can in fact do all of those things:

1. You can write a getproperty method for a tuple. It is considered to be type piracy and thus runs the risk of colliding with someone else's definition, but the language absolutely lets you do it.

2. You can broadcast over the fields of a NamedTuple by defining appropriate methods. Again, it's type piracy, so take that into consideration but the language lets you do this easily.

3. The https://github.com/JuliaArrays/PaddedViews.jl package implements exactly what you're saying Julia won't let you do.

If anything, Julia errs on the side of allowing you to do too many things! There are very few things the language says really won't let you do.

If you have to move to another language maybe check out julia, it looks similar to python to some extent, I hear it has very nice support for CUDA and for the web interface part there's Dash which should be familiar I guess.

Besides Plotly Dash itself (which is mainly a JavaScript library with both Python and Julia bindings) there are the following Julia alternatives:

Depends on what you’re doing, but I’ve been using Dash to great success for my purposes at my company. The documentation kinda overlaps/misses some edge cases with the Python/JavaScript versions, but the framework is mostly analogous

So can Julia:

https://github.com/plotly/Dash.jl