futhark VS arrayfire-python

Compare futhark vs arrayfire-python and see what are their differences.

futhark

:boom::computer::boom: A data-parallel functional programming language (by diku-dk)

arrayfire-python

Python bindings for ArrayFire: A general purpose GPU library. (by arrayfire)
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futhark arrayfire-python
52 2
2,293 413
1.8% 0.2%
9.8 2.4
6 days ago about 1 year ago
Haskell Python
ISC License BSD 3-clause "New" or "Revised" License
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.

futhark

Posts with mentions or reviews of futhark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-19.

arrayfire-python

Posts with mentions or reviews of arrayfire-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-02.

What are some alternatives?

When comparing futhark and arrayfire-python you can also consider the following projects:

arrayfire-rust - Rust wrapper for ArrayFire

pyopencl - OpenCL integration for Python, plus shiny features

dex-lang - Research language for array processing in the Haskell/ML family

cupy - NumPy & SciPy for GPU

Halide - a language for fast, portable data-parallel computation

kernel_tuner - Kernel Tuner

julia - The Julia Programming Language

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

BQN - An APL-like programming language. Self-hosted!

ArrayFire - ArrayFire: a general purpose GPU library.

kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.