CUDA.jl VS cudf

Compare CUDA.jl vs cudf and see what are their differences.

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CUDA.jl cudf
15 23
1,118 7,163
2.6% 2.5%
9.5 9.9
6 days ago 1 day ago
Julia C++
GNU General Public License v3.0 or later Apache License 2.0
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.

CUDA.jl

Posts with mentions or reviews of CUDA.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-01.

cudf

Posts with mentions or reviews of cudf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-17.

What are some alternatives?

When comparing CUDA.jl and cudf you can also consider the following projects:

Numba - NumPy aware dynamic Python compiler using LLVM

chia-plotter

wif500 - Try to find the WIF key and get a donation 200 btc

LoopVectorization.jl - Macro(s) for vectorizing loops.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale

rmm - RAPIDS Memory Manager

awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Tullio.jl - ⅀

mpire - A Python package for easy multiprocessing, but faster than multiprocessing

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

GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.