CudaPy
wgpu-py
| CudaPy | wgpu-py | |
|---|---|---|
| 1 | 5 | |
| 4 | 371 | |
| - | 2.7% | |
| 0.0 | 8.6 | |
| over 8 years ago | 11 days ago | |
| Haskell | Python | |
| MIT License | BSD 2-clause "Simplified" License |
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CudaPy
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Unifying the CUDA Python Ecosystem
Closest thing to mind is Numba's cuda JIT compilation : https://numba.pydata.org/numba-doc/latest/cuda/index.html
Then you have Cupy : https://github.com/oulgen/CudaPy
But in my opinion, the most future proof solutions are higher level frameworks like Numpy, Jax and Tensorflow. TensorFlow can JIT compile Python functions to GPU (tf.function).
wgpu-py
- Pygfx/wgpu-py: Next generation GPU API for Python
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I'm working on techno audio-visuals using Ableton & Javascript
If you've a Python background, I might suggest checking out something like https://github.com/pygfx/wgpu-py
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Chrome Ships WebGPU
FYI you can already use webgpu directly in python, see https://github.com/pygfx/wgpu-py for webgpu wrappers and https://github.com/pygfx/pygfx for a more high level graphics library
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I've just started mixing shaders with Pygame and got some great results
This reminds me of another Python GPU project, bringing in WebGPU shaders.
https://github.com/pygfx/wgpu-py
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Unifying the CUDA Python Ecosystem
Somewhat related, I’ve built compute shaders using wgpu-py:
https://github.com/pygfx/wgpu-py
You can define any compute shader you like in Python, with the data types, and it compiles it to SPIRV and runs it.
What are some alternatives?
cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale
cudf - cuDF - GPU DataFrame Library
CUDA.jl - CUDA programming in Julia.
SHA256-WebGPU - Implementation of sha256 in WGSL
grcuda - Polyglot CUDA integration for the GraalVM
amaranth - A modern hardware definition language and toolchain based on Python
web-stable-diffusion - Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
copperhead - Data Parallel Python
numba - NumPy aware dynamic Python compiler using LLVM
wgpu-mm