FLoops.jl vs ThreadsX.jl

FLoops.jl

Fast sequential, threaded, and distributed for-loops for Julia—fold for humans™ (by JuliaFolds)

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ThreadsX.jl

Parallelized Base functions (by tkf)

Julia High Performance map-reduce Transducers sorting-algorithms Parallel

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FLoops.jl		ThreadsX.jl
	Project
3	Mentions	1
303	Stars	309
0.7%	Growth	-
0.0	Activity	0.0
6 days ago	Latest Commit	4 days ago
Julia	Language	Julia
MIT License	License	MIT 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.

FLoops.jl

Posts with mentions or reviews of FLoops.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-19.

Floops.jl: unified system for safe threaded, distributed and GPU loops in Julia
1 project | news.ycombinator.com | 15 Feb 2021
Any R::parallel like workflow for multiprocessing?
1 project | /r/Julia | 14 Feb 2021

There is a number of good packages in https://github.com/JuliaFolds organization. You need to browse a little too find one, which is most suitable for your needs. I suppose https://github.com/JuliaFolds/FLoops.jl is the most applicable for your needs. As an additional bonus, you'll be able to switch from single thread, to multithread, distributed and even CUDA version with a change of a single executor.
DSP Performance Comparison Numpy vs. Cython vs. Numba vs. Pythran vs. Julia
2 projects | news.ycombinator.com | 19 Jan 2021

Are the Cython and Pythran codes running in parallel? To do that with Julia: https://docs.julialang.org/en/v1/manual/multi-threading/
Or https://github.com/JuliaFolds/FLoops.jl

ThreadsX.jl

Posts with mentions or reviews of ThreadsX.jl. We have used some of these posts to build our list of alternatives and similar projects.

Pmap alternative with multithreading
1 project | /r/Julia | 12 Feb 2021

I think ThreadsX.map will do the trick: https://github.com/tkf/ThreadsX.jl

What are some alternatives?

When comparing FLoops.jl and ThreadsX.jl you can also consider the following projects:

FoldsCUDA.jl - Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)

Pluto.jl - 🎈 Simple reactive notebooks for Julia

jochen.gitlab.io

DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

Transducers.jl - Efficient transducers for Julia

julia - The Julia Programming Language

DPMMSubClusters.jl - Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)

DataFrames.jl - In-memory tabular data in Julia