dex-lang VS futhark

Compare dex-lang vs futhark and see what are their differences.


Research language for array processing in the Haskell/ML family (by google-research)


:boom::computer::boom: A data-parallel functional programming language (by diku-dk)
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dex-lang futhark
12 14
1,118 1,619
3.6% 2.2%
9.5 9.8
6 days ago 2 days ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License ISC 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.


Posts with mentions or reviews of dex-lang. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-09.


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 2021-12-06.

What are some alternatives?

When comparing dex-lang and futhark you can also consider the following projects:

arrayfire-rust - Rust wrapper for ArrayFire

arrayfire-python - Python bindings for ArrayFire: A general purpose GPU library.

kompute - General purpose GPU compute framework for 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.

julia - The Julia Programming Language

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

hasktorch - Tensors and neural networks in Haskell

hint - Runtime Haskell interpreter


haskell-to-elm - Generate Elm types, encoders, and decoders from Haskell types

FlexFlow - A distributed deep learning framework that supports flexible parallelization strategies.

tutorials - PyTorch tutorials.