wgpu-py VS gtc2017-numba

Compare wgpu-py vs gtc2017-numba and see what are their differences.

gtc2017-numba

Numba tutorial for GTC 2017 conference (by ContinuumIO)
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wgpu-py gtc2017-numba
5 1
371 493
2.7% 0.6%
8.6 0.0
4 days ago 9 months ago
Python Jupyter Notebook
BSD 2-clause "Simplified" License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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wgpu-py

Posts with mentions or reviews of wgpu-py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-06.

gtc2017-numba

Posts with mentions or reviews of gtc2017-numba. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-16.
  • Unifying the CUDA Python Ecosystem
    13 projects | news.ycombinator.com | 16 Apr 2021
    here is writing a similar kernel in python with numba: https://github.com/ContinuumIO/gtc2017-numba/blob/master/4%2...

    I think the contrast is less about the language, and more about the scope and objective of the project. the blog is describing low-level interfaces in python - probably more comparable is the old CUDAdrv.jl package (now merged into CUDA.jl): https://github.com/JuliaGPU/CUDAdrv.jl/blob/master/examples/...

What are some alternatives?

When comparing wgpu-py and gtc2017-numba you can also consider the following projects:

CudaPy - CudaPy is a runtime library that lets Python programmers access NVIDIA's CUDA parallel computation API.

amaranth - A modern hardware definition language and toolchain based on Python

cudf - cuDF - GPU DataFrame Library

SHA256-WebGPU - Implementation of sha256 in WGSL

grcuda - Polyglot CUDA integration for the GraalVM

copperhead - Data Parallel Python

web-stable-diffusion - Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

CUDAdrv.jl - A Julia wrapper for the CUDA driver API.