schism VS julia

Compare schism vs julia and see what are their differences.

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schism julia
7 351
188 44,622
0.0% 0.7%
10.0 10.0
almost 4 years ago 2 days ago
Julia
Apache License 2.0 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.

schism

Posts with mentions or reviews of schism. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-15.
  • Scheme in Scheme on WASM in the Browser
    4 projects | news.ycombinator.com | 15 Dec 2023
    I don't know why you've been downvoted, I've given you an upvote for linking to an interesting project (even if it's linked in some way to Google). I'd also like to link to the updated GH link: <https://github.com/schism-lang/schism>.
  • Writing a C compiler in 500 lines of Python
    4 projects | news.ycombinator.com | 4 Sep 2023
    Looks like Schism (https://github.com/schism-lang/schism) got part of the way there, but it unfortunately seems to be dead.
  • Two-tier programming language
    6 projects | /r/ProgrammingLanguages | 19 Apr 2023
    It would be interesting to reboot something like Lush but using Wasm and Scheme with https://github.com/schism-lang/schism then you could use code generation internally be emitting wasm from your schism code and then reloading the entire environment.
  • Langjam 17-19 Feb
    3 projects | /r/lisp | 17 Feb 2023
  • Multiple assignment and tuple unpacking improve Python code readability
    4 projects | news.ycombinator.com | 8 May 2022
    I love E! Or at least the problems it is trying to solve. As you know Wasm also has a capabilities model. And it is fairly trivial to persist the Wasm heap, it just an array of bytes. I think Wasm aligns nicely.

    Chez is a great Scheme, but it doesn't have a Wasm backend. I find https://github.com/schism-lang/schism very interesting.

    As for C programs going crazy, well yeah. I did a thing where I would copy of the body of functions around in memory, it worked on some version of Linux and GCC, but only by accident. I would be much less comfortable doing this kind of circuit bending than modifying Python stack frames. If I were to achieve a similar goal in the future, I'd use TCC, generate C code and compile directly into memory.

    Framehacks aren't going to do the same thing, and one should have tests for it regardless. Framehacks get you tail calls, stack scope and a bunch of other nice properties.

    Happy Hacking!

  • Schism: A self-hosting Scheme to WebAssembly compiler
    1 project | news.ycombinator.com | 20 Jan 2022
  • Racketscript/Racketscript: Racket to JavaScript Compiler
    5 projects | news.ycombinator.com | 26 Sep 2021
    There is a WIP unofficial project from developers at Google called Schism [1].

    [1] https://github.com/schism-lang/schism

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 Analysis๐Ÿ“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...

What are some alternatives?

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

racketscript - Racket to JavaScript Compiler

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

biwascheme - Scheme interpreter written in JavaScript

NetworkX - Network Analysis in Python

langjam

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.

micrograd - A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

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

nearley - ๐Ÿ“œ๐Ÿ”œ๐ŸŒฒ Simple, fast, powerful parser toolkit for JavaScript.

Numba - NumPy aware dynamic Python compiler using LLVM

gambit - Gambit is an efficient implementation of the Scheme programming language.

F# - Please file issues or pull requests here: https://github.com/dotnet/fsharp