scikit-cuda VS PyCUDA

Compare scikit-cuda vs PyCUDA and see what are their differences.

scikit-cuda

Python interface to GPU-powered libraries (by lebedov)
Python GPU Cuda Blas LAPACK Numerical cublas cusolver cufft Pycuda
Source Code
scikit-cuda.readthedocs.org
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PyCUDA

CUDA integration for Python, plus shiny features (by inducer)
Foreign Function Interface Python Pycuda GPU gpu-computing Cuda Array multidimensional-arrays Scientific Computing
Source Code
mathema.tician.de
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scikit-cuda PyCUDA
1 -
967 1,746
- -
2.5 5.4
7 months ago 26 days ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

scikit-cuda

Posts with mentions or reviews of scikit-cuda. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-22.

PyCUDA

Posts with mentions or reviews of PyCUDA. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning PyCUDA yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing scikit-cuda and PyCUDA you can also consider the following projects:

cupy - NumPy & SciPy for GPU

SWIG - SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.

cuml - cuML - RAPIDS Machine Learning Library

jpype - JPype is cross language bridge to allow Python programs full access to Java class libraries.

pyopencl - OpenCL integration for Python, plus shiny features

cffi

kernel_tuner - Kernel Tuner

PyJNIus - Access Java classes from Python

cusim - Superfast CUDA implementation of Word2Vec and Latent Dirichlet Allocation (LDA)

tmu - Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

TileDB-Py - Python interface to the TileDB storage engine

scikit-cuda vs cupy PyCUDA vs SWIG scikit-cuda vs cuml PyCUDA vs jpype scikit-cuda vs pyopencl PyCUDA vs cffi scikit-cuda vs kernel_tuner PyCUDA vs PyJNIus scikit-cuda vs cusim PyCUDA vs pyopencl scikit-cuda vs tmu PyCUDA vs TileDB-Py