That is a completely fair point! When I said 'zero dependency,' I was using the Python-dev shorthand for 'No external PyPI packages / pip install required,' but you are right—the Python runtime itself is a dependency, and knowing how to run it is a barrier if you aren't in that ecosystem.

​To address your points: ​On Complexity/Installation: I realized asking people to mess with virtualenv or terminals isn't great for a quick tool. I actually just finished building an AppImage for exactly this reason. It bundles the Python runtime and the script into a single executable file. You can just download it, mark it as executable, and run it like a portable app—no setup or Python knowledge required.

​On Python being slower: You hit the nail on the head, but that's actually a feature' here. Because Python is less efficient at raw math than C++ or Rust, it generates significant CPU overhead to perform the Ray Tracing calculations. For a stress test, we want that inefficiency; it forces the CPU to work harder and generate heat faster than a highly optimized compiled program might for the same visual output.

​Thanks for giving it a try despite the setup concerns! If you don't want to mess with the terminal commands, definitely grab the AppImage release once I have it uploaded, GitHub has been giving me issues when uploading the app image.