janet VS julia

Compare janet vs julia and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
janet julia
79 350
3,296 44,510
1.3% 0.8%
9.4 10.0
5 days ago about 8 hours ago
C Julia
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.

janet

Posts with mentions or reviews of janet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-20.
  • Scriptable Operating Systems with Lua [pdf]
    2 projects | news.ycombinator.com | 20 Apr 2024
    Seems like a perfect use-case for Janet. (https://janet-lang.org/) A fast minimal VM like Lua, but even more extensible than Lua by being a "Lisp" with macro and C extension capabilities. Not a true Lisp, it's very pragmatic and performance-oriented. But it keeps the good stuff.
  • Ask HN: A Lisp with Cargo/NPM like build system?
    1 project | news.ycombinator.com | 7 Mar 2024
    You might be looking for: https://janet-lang.org/

    It comes with a build tool `jpm` which installs dependencies globally by default, but you can have it be installed in your project folder as well.

  • Babashka: Fast native Clojure scripting runtime
    2 projects | news.ycombinator.com | 24 Jan 2024
    I like Clojure, but I never had any good opportunities to use it other than for a few small hobby projects. It is unfortunate that it is so huge with tons of dependencies and no simpler native implementation. I started looking at various LISPs and Schemes to find something lighter to use instead and ended up settling for Janet that I think is Clojure-like enough to be comfortable to use, but in a small native binary with no dependencies and can be embedded in other native programs. I am sure for big, real, projects that Clojure makes more sense, but for my hobby projects and scripts I do not think I will install it again. I am still happy for the things I learned from learning Clojure. It was a real eye-opener for an old OO-programmer.

    https://janet-lang.org/

  • Janet Language
    1 project | news.ycombinator.com | 15 Nov 2023
  • Why Fennel?
    12 projects | news.ycombinator.com | 13 Sep 2023
  • Embeddable Common Lisp 23.9.9
    4 projects | news.ycombinator.com | 9 Sep 2023
  • Sharpscript: Lisp for Scripting
    5 projects | news.ycombinator.com | 5 Aug 2023
    One might also check out Janet for quick scripting tasks.

    https://janet-lang.org

  • Red Programming Language
    5 projects | news.ycombinator.com | 17 Jul 2023
    Thanks!

    I thought about another multiplatform, homoiconic, highly compact language: https://janet-lang.org/ (takes 803 kb on my machine).

    It has no types though.

  • Systems Programming with Racket
    2 projects | news.ycombinator.com | 1 Jul 2023
    Racket is great, and if you like it you might find Rash interesting:

    https://rash-lang.org/

    Janet and Gerbil Scheme are also worth a look:

    https://janet-lang.org/

    https://cons.io/

  • how did you finally reach Lisp enlightenment?
    1 project | /r/lisp | 15 Jun 2023
    Point here is that, for instance Janet language does not have cons / pair type but tuple (and so is lispoid, not lisp), but clearly this is sufficient for macros & hence seamless language construction: all you need is to be a lispoid although being a lisp gives another useful feature.

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 Analysis📊
    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 janet and julia you can also consider the following projects:

Fennel - Lua Lisp Language

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

get-started-with-clojure - Learn Clojure and Interactive Programming – Zero install

NetworkX - Network Analysis in Python

babashka - Native, fast starting Clojure interpreter for scripting

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.

scheme-for-max - Max/MSP external for scripting and live coding Max with s7 Scheme Lisp

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

ferret - Ferret is a free software lisp implementation for real time embedded control systems.

Numba - NumPy aware dynamic Python compiler using LLVM

kaboom.js - 💥 JavaScript game library

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