datafun VS futhark

Compare datafun vs futhark and see what are their differences.

datafun

Research on integrating datalog & lambda calculus via monotonicity types (by rntz)

futhark

:boom::computer::boom: A data-parallel functional programming language (by diku-dk)
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datafun futhark
3 52
375 2,299
- 1.8%
10.0 9.8
almost 2 years ago 1 day ago
TeX Haskell
- 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.

datafun

Posts with mentions or reviews of datafun. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-08.

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 datafun and futhark you can also consider the following projects:

cogent - Cogent Project

arrayfire-rust - Rust wrapper for ArrayFire

karamel - KaRaMeL is a tool for extracting low-level F* programs to readable C code

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

jasmin - Language for high-assurance and high-speed cryptography

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

HVM - A massively parallel, optimal functional runtime in Rust

julia - The Julia Programming Language

val - A small library to bring NaNboxing to C

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

koika - A core language for rule-based hardware design 🦑

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.