ClojureDart
julia
ClojureDart | julia | |
---|---|---|
27 | 350 | |
1,339 | 44,534 | |
1.1% | 0.5% | |
9.1 | 10.0 | |
6 days ago | 6 days ago | |
Clojure | Julia | |
- | MIT License |
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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.
ClojureDart
- ClojureDart – Clojure Dialect for Flutter and Dart
- Embedding Clojure into iOS Applications
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Why Lisp?
> "ClojureDart is production-ready: you can ship applications right now.
Source: https://github.com/Tensegritics/ClojureDart
See a live demo here: https://www.youtube.com/watch?v=dqBeGpuedf0
ClojureDart is very similar to ClojureScript, which the GP is already comfortable with.
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Is Clojure the only language you need?
Ah, and there is also a new version of Clojure in active development - ClojureDart. It is a port of Clojure language to Dart with the primary goal of using Flutter framework and getting a native mobile and desktop UI.
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So you're using a weird language
There is a port of the Clojure language to Dart with Flutter support: https://github.com/Tensegritics/ClojureDart
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What features should a Lisp IDE have?
Now https://github.com/Tensegritics/ClojureDart exist to build GUI with flutter.
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language bindings?
There are ways, but it is generally a lot of work, for example there is ClojureDart https://github.com/Tensegritics/ClojureDart . Though unusually that sort of thing is normal for Clojure, because it is a hosted language (Clojure -> JVM, ClojureScript -> JS, etc).
- Jumping back in!
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Clojure Single Codebase?
Something to checkout for mobile and desktop is: https://github.com/Tensegritics/ClojureDart
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Clojure Scripting on Node.js
Basically, you take a programming language and make it work on a platform that meant to be programmed using a different PL. Clojure is hosted by design - it's not Java, but can be used to program for JVM. It ain't Javascript, but can be used to target nodejs and browser; not an [official] CLR language, but you can write .Net programs. You can use Clojure to make Flutter apps with ClojureDart. You can integrate Python into Clojure with libpython-clj. Or write Clojure to target Erlang/OTP; or Rust; or R; There's even a clojure-like language for Lua - Fennel.
There's something about Clojure people like so much, they want it to work atop any platform.
https://github.com/Tensegritics/ClojureDart
https://github.com/clj-python/libpython-clj
https://github.com/clojerl/clojerl
https://github.com/clojure-rs/ClojureRS
https://github.com/scicloj/clojisr
https://fennel-lang.org
julia
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Top Paying Programming Technologies 2024
34. Julia - $74,963
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Optimize sgemm on RISC-V platform
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.
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Dart 3.3
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!
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Julia 1.10 Highlights
https://github.com/JuliaLang/julia/blob/release-1.10/NEWS.md
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Best Programming languages for Data Analysis📊
Visit official site: https://julialang.org/
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Potential of the Julia programming language for high energy physics computing
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
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Rust std:fs slower than Python
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".
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Eleven strategies for making reproducible research the norm
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
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Julia as a unifying end-to-end workflow language on the Frontier exascale system
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.
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Getaddrinfo() on glibc calls getenv(), oh boy
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?
gallery - Flutter Gallery was a resource to help developers evaluate and use Flutter
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
valence-native - A React environment for cross platform desktop apps
NetworkX - Network Analysis in Python
vim-iced - Clojure Interactive Development Environment for Vim8/Neovim
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.
slsa - Supply-chain Levels for Software Artifacts
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
babashka - Native, fast starting Clojure interpreter for scripting
Numba - NumPy aware dynamic Python compiler using LLVM
language - Design of the Dart language
F# - Please file issues or pull requests here: https://github.com/dotnet/fsharp