ChaosKit VS xact

Paul Bourke's website is great; don't forget to check his other articles!

Over 10 years ago, it inspired me to play with strange attractors, which eventually ended with me writing https://github.com/chaoskit/chaoskit.

It was fun and I learned a lot, but it's definitely a deep rabbit hole. I've moved on since then.

I'm not the parent, but I did something similar. It's an editor for fractal flames where the UI is done in QML and rendering and generation is done in C++ and OpenGL. https://github.com/chaoskit/chaoskit

I liked that QML allowed me to iterate quickly on the UI. It was really quick to just compose a bunch of components together and have something working. I also enjoyed the integration with the C++ side. Overall I found QML pretty solid. If I'd build a desktop app again, I'd definitely consider it.

https://github.com/chaoskit/chaoskit

Demo video: https://youtu.be/ZSz3zN14NTQ

It's an editor and renderer for Fractal Flames[1] written in C++17 and with a UI in Qt/QML. Other software that renders Fractal Flames is e.g. Electric Sheep[2] or Apophysis[3].

It's a project that I've been working on and off for 10 years and it's still not ready… Reimplementing it several times certainly didn't help, but I learned a lot in the process! It's grown from a simple for loop to basically a language interpreter.

Sorry for the lack of README or license, but this is still half-baked ;)

[1] https://flam3.com/

[2] https://electricsheep.org/

[3] https://en.wikipedia.org/wiki/Apophysis_(software)

https://github.com/wtpayne/xact - Model Based Systems/Software Engineering tool with support for machine learning and synthetic data.

MBSE is a vastly underappreciated technique, and one that deserves much more exposure in the mainstream tech community.

Sadly, I have found myself exceedingly disappointed at the tooling available to support MBSE, having mainly used Simulink, and also experimented with a few others like Rhapsody, Capella and EA.

Constant mouse usage with Simulink gave me really bad RSI, and merging models was a pain, due to the way that layout and structural information were mixed together in the xml-based .mdl file format.

So (naturally) I made a text-based alternative. It's a bit like TensorFlow in that you create a compute graph (computational model), and then run it.

The model itself can be generated dynamically in a script, using JQuery-like syntax to add or change nodes, or alternatively it can be stored and version controlled in one or more text files, using YAML, XML, JSON or TOML (or some mixture of those) to serialise the structure in an easy-to-diff-and-merge form.

https://github.com/wtpayne/xact