CUDA.jl VS cunumeric

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

CUDA.jl

CUDA programming in Julia. (by JuliaGPU)

cunumeric

An Aspiring Drop-In Replacement for NumPy at Scale (by nv-legate)
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CUDA.jl cunumeric
15 9
1,118 595
2.6% 1.5%
9.5 8.7
6 days ago 7 days ago
Julia Python
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.

cunumeric

Posts with mentions or reviews of cunumeric. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-09.

What are some alternatives?

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

cupy - NumPy & SciPy for GPU

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

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

numba - NumPy aware dynamic Python compiler using LLVM

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

cudf - cuDF - GPU DataFrame Library

legate.pandas - An Aspiring Drop-In Replacement for Pandas at Scale

Tullio.jl - ⅀

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

julia - The Julia Programming Language