julia VS F#

Compare julia vs F# and see what are their differences.

F#

Please file issues or pull requests here: https://github.com/dotnet/fsharp (by fsharp)
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julia F#
350 26
44,510 2,199
0.9% -
10.0 0.0
2 days ago over 1 year ago
Julia F#
MIT 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.

julia

Posts with mentions or reviews of julia. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-06.
  • Top Paying Programming Technologies 2024
    19 projects | dev.to | 6 Mar 2024
    34. Julia - $74,963
  • Optimize sgemm on RISC-V platform
    6 projects | news.ycombinator.com | 28 Feb 2024
    I don't believe there is any official documentation on this, but https://github.com/JuliaLang/julia/pull/49430 for example added prefetching to the marking phase of a GC which saw speedups on x86, but not on M1.
  • Dart 3.3
    2 projects | news.ycombinator.com | 15 Feb 2024
    3. dispatch on all the arguments

    the first solution is clean, but people really like dispatch.

    the second makes calling functions in the function call syntax weird, because the first argument is privileged semantically but not syntactically.

    the third makes calling functions in the method call syntax weird because the first argument is privileged syntactically but not semantically.

    the closest things to this i can think of off the top of my head in remotely popular programming languages are: nim, lisp dialects, and julia.

    nim navigates the dispatch conundrum by providing different ways to define free functions for different dispatch-ness. the tutorial gives a good overview: https://nim-lang.org/docs/tut2.html

    lisps of course lack UFCS.

    see here for a discussion on the lack of UFCS in julia: https://github.com/JuliaLang/julia/issues/31779

    so to sum up the answer to the original question: because it's only obvious how to make it nice and tidy like you're wanting if you sacrifice function dispatch, which is ubiquitous for good reason!

  • Julia 1.10 Highlights
    1 project | news.ycombinator.com | 27 Dec 2023
    https://github.com/JuliaLang/julia/blob/release-1.10/NEWS.md
  • Best Programming languages for Data Analysisđź“Š
    4 projects | dev.to | 7 Dec 2023
    Visit official site: https://julialang.org/
  • Potential of the Julia programming language for high energy physics computing
    10 projects | news.ycombinator.com | 4 Dec 2023
    No. It runs natively on ARM.

    julia> versioninfo() Julia Version 1.9.3 Commit bed2cd540a1 (2023-08-24 14:43 UTC) Build Info: Official https://julialang.org/ release

  • Rust std:fs slower than Python
    7 projects | news.ycombinator.com | 29 Nov 2023
    https://github.com/JuliaLang/julia/issues/51086#issuecomment...

    So while this "fixes" the issue, it'll introduce a confusing time delay between you freeing the memory and you observing that in `htop`.

    But according to https://jemalloc.net/jemalloc.3.html you can set `opt.muzzy_decay_ms = 0` to remove the delay.

    Still, the musl author has some reservations against making `jemalloc` the default:

    https://www.openwall.com/lists/musl/2018/04/23/2

    > It's got serious bloat problems, problems with undermining ASLR, and is optimized pretty much only for being as fast as possible without caring how much memory you use.

    With the above-mentioned tunables, this should be mitigated to some extent, but the general "theme" (focusing on e.g. performance vs memory usage) will likely still mean "it's a tradeoff" or "it's no tradeoff, but only if you set tunables to what you need".

  • Eleven strategies for making reproducible research the norm
    1 project | news.ycombinator.com | 25 Nov 2023
    I have asked about Julia's reproducibility story on the Guix mailing list in the past, and at the time Simon Tournier didn't think it was promising. I seem to recall Julia itself didnt have a reproducible build. All I know now is that github issue is still not closed.

    https://github.com/JuliaLang/julia/issues/34753

  • Julia as a unifying end-to-end workflow language on the Frontier exascale system
    5 projects | news.ycombinator.com | 19 Nov 2023
    I don't really know what kind of rebuttal you're looking for, but I will link my HN comments from when this was first posted for some thoughts: https://news.ycombinator.com/item?id=31396861#31398796. As I said, in the linked post, I'm quite skeptical of the business of trying to assess relative buginess of programming in different systems, because that has strong dependencies on what you consider core vs packages and what exactly you're trying to do.

    However, bugs in general suck and we've been thinking a fair bit about what additional tooling the language could provide to help people avoid the classes of bugs that Yuri encountered in the post.

    The biggest class of problems in the blog post, is that it's pretty clear that `@inbounds` (and I will extend this to `@assume_effects`, even though that wasn't around when Yuri wrote his post) is problematic, because it's too hard to write. My proposal for what to do instead is at https://github.com/JuliaLang/julia/pull/50641.

    Another common theme is that while Julia is great at composition, it's not clear what's expected to work and what isn't, because the interfaces are informal and not checked. This is a hard design problem, because it's quite close to the reasons why Julia works well. My current thoughts on that are here: https://github.com/Keno/InterfaceSpecs.jl but there's other proposals also.

  • Getaddrinfo() on glibc calls getenv(), oh boy
    10 projects | news.ycombinator.com | 16 Oct 2023
    Doesn't musl have the same issue? https://github.com/JuliaLang/julia/issues/34726#issuecomment...

    I also wonder about OSX's libc. Newer versions seem to have some sort of locking https://github.com/apple-open-source-mirror/Libc/blob/master...

    but older versions (from 10.9) don't have any lockign: https://github.com/apple-oss-distributions/Libc/blob/Libc-99...

F#

Posts with mentions or reviews of F#. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-26.
  • old languages compilers
    12 projects | /r/ProgrammingLanguages | 26 Dec 2022
    F# F*
  • From Script to Scaffold in F#
    8 projects | dev.to | 23 Dec 2022
    This year I've been attempting Advent of Code in my favourite programming language, F#. This is a beginner(ish) centered post about making incremental changes from the smallest possible solution to something more robust.
  • for newbie , VScode+ionide or VisualStudio
    1 project | /r/fsharp | 21 Dec 2022
    I can recommend polyglot notebooks in vs code, so you can mix different languages.Take a look athttps://fsharp.org/ for some project ideas and frameworks.
  • The comeback of the Fediverse and the Old Web
    3 projects | dev.to | 4 Dec 2022
    I have many less followers on Mastodon than in the Birdsite (40 vs 341), yet my activity has generated many more interactions than there. Not only that, among the users who decided to interact with me I counted: a co-discoverer of the Laniakea supercluster, one of the lead developers behind F#, the author of many important books on Java & JVM, plus many others. I'm literally a nobody, but this time there was no algorithm relying on relevance and engament metrics to decide what to present to each one of us.
  • Chicago and London TDD Styles for Functional Programming
    4 projects | dev.to | 18 Sep 2022
    FP devs differ based on language here. Elm, like F#, tends to encourage "a bunch of functions and types in a file". While Elm supports modules, we don't really care where it came from; they're all pure, all deterministic, the compiler tells us if it works.
  • Performance of immutable collections in .NET
    4 projects | /r/dotnet | 23 Jul 2022
    The builtin fsharp collections actually are just "immutable", not persistent as you mention. (Ref: https://github.com/fsharp/fsharp/blob/master/src/fsharp/FSharp.Core/map.fs. This is just an AVL tree that returns a copy on mutations: https://github.com/fsharp/fsharp/blob/577d06b9ec7192a6adafefd09ade0ed10b13897d/src/fsharp/FSharp.Core/map.fs#L118)
  • Coming from Scala
    2 projects | /r/typescript | 3 Jul 2022
    You can dive into .NET ecosystem by trying F#. It's functional-first language so this should be familiar.
  • Parsing Lambda Error Logs in ReScript & Python
    19 projects | dev.to | 28 May 2022
    ReScript code is just like F# or OCAML; it doesn’t have a function parse phase like JavaScript, so we have to define our functions and types first before we can use them. That’s fine, but makes explaining the code backwards (meaning you start at the bottom of the file and work your way up), so we’ll start at our lambda handler and explain each part, regardless of where it’s defined.
  • Please put units in names
    7 projects | /r/programming | 21 Mar 2022
    F# is a JavaScript and .NET language for web, cloud, data-science, apps and more.
  • E
    1 project | /r/youngpeopleyoutube | 19 Mar 2022
    Also a programming joke

What are some alternatives?

When comparing julia and F# you can also consider the following projects:

jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

ClojureCLR - A port of Clojure to the CLR, part of the Clojure project

NetworkX - Network Analysis in Python

Roslyn - The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.

Lua - Lua is a powerful, efficient, lightweight, embeddable scripting language. It supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.

Nemerle - Nemerle language. Main repository.

rust-numpy - PyO3-based Rust bindings of the NumPy C-API

VisualFSharp - The F# compiler, F# core library, F# language service, and F# tooling integration for Visual Studio

Numba - NumPy aware dynamic Python compiler using LLVM

IronScheme - IronScheme

StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)

Bridge.NET - :spades: C# to JavaScript compiler. Write modern mobile and web apps in C#. Run anywhere with Bridge.NET.