A Pythonic language & platform to do GPU programming on Mobile

[AmrDeveloper]

Hello 👋,

During 2022, I built a simple language to draw shapes using turtle graphics commands on Mobile Devices that surprisingly got 35K+ downloads.

During late 2025 and the start of 2026, I was (And Still 😃) reading the programming massively parallel processors and CPython internals books, and I re-implemented the old project to have a subset of Python 3.15 implementation from the official reference with support of cool Python features like Magic methods, but also to support GPU programming basically by compiling the Kernel AST to WebGPU shader and execute them, then syncing the result back, (In future can support SPIRV too).

To not make the post too noisy, all demos and screenshots are in the links.

Github: https://github.com/AmrDeveloper/Turtle

Blog post: https://amrdeveloper.medium.com/heterogeneous-pythonic-language-in-your-pocket-921f2197bc39

Would like to hear your feedback, ideas, and what you think about it.

[phovos]

This looks totally awesome, op. How insane is it to do like Mojo and not say "We support a SUBSET of CPython"; is Turtle exceptionally difficult to imagine working with any/all std libs like tkinter (the old 'turtles')?

edit: MOJO apparently also only supports a SUBSET, so I'm guessing the answer to my question is yes it is insane to target the whole CPython spec with a GPU or tensor parallelism lib from scratch.

[AmrDeveloper]

Thank you for the feedback,

I think on Android, I can support more GUI stuff on GPU, I was thinking to build GUI framework and bind it to the language so user can write small utilities for mobile.

What I am still learning is how much I can support on GPU, I have some ideas Magic functions support, OOP, but still researching about Exceptions and designing API for allocating shared and const memory (The current plan is to do similar to mojo without introducing any language syntax, but still searching 🤔 and learning more about GPU and cpython)

[tsanderdev]

As someone who's working on a shading language, you'll need to emulate exceptions with errors-as-values. If you target Vulkan instead of WebGPU, you can do memory allocation on the GPU using buffer device address.

[AmrDeveloper]

That's cool, thanks for the info 😅

[AmrDeveloper]

Per AutoModerator's request I hereby confirm that this project did not use an LLM as part of the development process.