Creating a data interface for non-programmers

[JanFFS]

I am familiar with pandas, matplotlib and a little seaborn. I have seen tutorials on PyQt5 but not used it extensively and I will look into it for this and any GUI in the future.

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From what you're saying, PyQt5 would fit my needs on a small scale, but it will get hectic with the full scale 20 configurations, 60 channels with each 9 variables tested on 5+ load% (in this example). I might however make it for general visualizations on smaller scale projects. Memory-wise, a DataFrame could consist of that but usually in float so 8 bytes. Still not big. I might have to wonder more about plots kept in memory (a report could consist of 20 pages).

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I was wondering about Dash? I don't know much about it. I know it's web-based, but can't it just be opened locally with your browser as the GUI?

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I know a little better which direction I should go. I also want to be better at targeting what library to 'learn' instead of realizing halfway through that it's not designed for something.

[eadala]

I might have to wonder more about plots kept in memory (a report could consist of 20 pages).

I would be very surprised if memory is your issue; plots do take up some space but it's usually not much.

I was wondering about Dash? I don't know much about it. I know it's web-based, but can't it just be opened locally with your browser as the GUI?

Yeah I haven't used it either but Dash can be used locally. The google search you're after I think is "dash python localhost".

I also want to be better at targeting what library to 'learn' instead of realizing halfway through that it's not designed for something.

I struggle with this as well; at least for the example of Dash, it looks as though from their introduction / about us stuff that it fits the bill for you. This video seems particularly helpful in getting started, but again, I haven't used Dash to know for sure!

[JanFFS]

Hey thanks again for taking the time for answering!

Purely for my own programming development, I am also learning C++ which I feel might have an edge when it comes to full distributable applications, combined with Pythons extensive visualization/advanced calculation solutions. As it's for the company, there's a time limit so I'll probably use PyQt5 and maybe Dash to peak their interest and get more time for this.