qt5 VS qnanopainter

So, clearly with your AP CS class and PLC logic knowledge, if you were dumped into a codebase like Hadoop, QT, or TensorFlow you'd be able to quickly and competently analyze what is going on with that code, understand all the libraries used, know the reasons why certain compromises were made, and be able to make suggestions on how to restructure the code in a different way? Because I've been programming for coming up on two decades and unless a system is within the domains that I have experience in, I would not be able to provide any useful information without a massive onboarding timeline, and definitely wouldn't be able to help redesign anything until actually coding within the system for a significant amount of time.

QT for example is more than sixteen thousand lines of code, developed by almost 100 contributors. This is the closest analog to what you would be trying to make.

The branches on https://github.com/qt/qt5/tree/5.15.2 only seem to show a maximum version of 5.15.2. I have also seen 5.15.9 somewhere, but no idea where to get it (or was it 5.14.9 and I am mistaken).

Have you ever tried contributing to Qt? I rather liked their use of submodules. https://github.com/qt/qt5

qt5

I did not say Qt specifically, but QNanoPainter. That's a library that allows an API that is similar to the HTML Canvas one. The nanovg library that backs it, it's written in C, and I don't know of any other C++ API for it if you don't want to have Qt, but probably exists.

You can use QNanoPainter https://github.com/QUItCoding/qnanopainter. You'll have a very easy to use HTML5 canvas style API with the performance of native OpenGL.