moddable
julia
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moddable | julia | |
---|---|---|
12 | 350 | |
1,265 | 44,510 | |
1.9% | 0.8% | |
9.8 | 10.0 | |
10 days ago | about 2 hours ago | |
C | Julia | |
- | MIT License |
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.
moddable
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Is there a safe and robust interpreter/scripting language? Or should I write it myself?
Your project might be a good candidate for the Moddable SDK: https://github.com/Moddable-OpenSource/moddable In particular the "mods" feature that allows sandboxed user scripts.
- Moddable Embedded JavaScript SDK 3.5.0
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The Story of Mel, a Real Programmer
> meaning that to deploy those apps requires embedding an entire web browser into every app
It doesn't require it, that's just what they choose, and it has little to do with the language. (Besides, if you actually observe them—and ignore what they tell you about liking JS—then it's clear that most of them hate their preferred language.) Languages and the bindings that a particular runtime exposes are orthogonal. You can have GTK apps written in JS, for example, or you can write a program in JS that compiles into a binary that runs on a microcontroller[2].
This is much more of a problem with the culture of Electron and the adjacent NPM ecosystem than it is anything else. Conflating the source of these problems is a great way to tank any would-be activism meant to solve them.
1. <https://en.wikipedia.org/wiki/GNOME_Shell>
2. <https://github.com/Moddable-OpenSource/moddable/blob/public/...>
- Moddable SDK: Embedded ECMAscript engine supports RasPi, littlefs file system
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Microvium Is Small
I experimented with Moddable some time ago and also contributed a module for Linux. It's written in C and I found the code quite readable, and the entire architecture good too. It's almost ES6 complete too.
https://github.com/Moddable-OpenSource/moddable
https://www.moddable.com/
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Pikascript: An ultra-lightweight Python engine that can run in 4Kb of RAM
There's JavaScript/ECMAScript via Moddable's XS engine: https://github.com/Moddable-OpenSource/moddable
"A typical microcontroller used with the Moddable SDK has about 45 KB of free memory, 1 MB of Flash ROM, and runs at 80 MHz. The Moddable SDK uses many different techniques, both at build time and at run time, to work efficiently on these devices."
- Moddable JavaScript SDK for Raspberry Pi Pico
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Why is MicroPython a thing
You think that’s bad. How about JavaScript for embedded https://github.com/Moddable-OpenSource/moddable
- Running TypeScript on ESP8266/ESP32 Devices
- Why doesn’t V8 fit on my microcontroller?
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?
quickjs-esp32 - QuickJS port for ESP32
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Espruino - The Espruino JavaScript interpreter - Official Repo
NetworkX - Network Analysis in Python
circuitpython - CircuitPython - a Python implementation for teaching coding with microcontrollers
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.
PikaPython - An ultra-lightweight Python interpreter that runs with only 4KB of RAM, zero dependencies. It is ready to use out of the box without any configuration required and easy to extend with C. Similar project: MicroPython, JerryScript.
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
phpdesktop - Develop desktop GUI applications using PHP, HTML5, JavaScript and SQLite
Numba - NumPy aware dynamic Python compiler using LLVM
microvium - A compact, embeddable scripting engine for applications and microcontrollers for executing programs written in a subset of the JavaScript language.
F# - Please file issues or pull requests here: https://github.com/dotnet/fsharp