wgpu-py
CudaPy
| wgpu-py | CudaPy | |
|---|---|---|
| 5 | 1 | |
| 371 | 4 | |
| 2.7% | - | |
| 8.6 | 0.0 | |
| 4 days ago | over 8 years ago | |
| Python | Haskell | |
| BSD 2-clause "Simplified" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
wgpu-py
- Pygfx/wgpu-py: Next generation GPU API for Python
-
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
-
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
-
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
-
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.
CudaPy
-
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).
What are some alternatives?
cudf - cuDF - GPU DataFrame Library
cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale
SHA256-WebGPU - Implementation of sha256 in WGSL
CUDA.jl - CUDA programming in Julia.
grcuda - Polyglot CUDA integration for the GraalVM
web-stable-diffusion - Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
amaranth - A modern hardware definition language and toolchain based on Python
copperhead - Data Parallel Python
wgpu-mm
numba - NumPy aware dynamic Python compiler using LLVM