effekt VS futhark

Compare effekt vs futhark and see what are their differences.

futhark

:boom::computer::boom: A data-parallel functional programming language (by diku-dk)
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effekt futhark
13 52
288 2,299
2.8% 1.8%
9.7 9.8
4 days ago about 17 hours ago
Scala Haskell
MIT 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.

effekt

Posts with mentions or reviews of effekt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-07.

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.

What are some alternatives?

When comparing effekt and futhark you can also consider the following projects:

koka - Koka language compiler and interpreter

arrayfire-rust - Rust wrapper for ArrayFire

Eff - Eff monad for cats - https://atnos-org.github.io/eff

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

tofu - Functional programming toolbox

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

hylo - The Hylo programming language

julia - The Julia Programming Language

cooltt - 😎TT

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

effects-bibliography - A collaborative bibliography of work related to the theory and practice of computational effects

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.