quickjs
julia
quickjs | julia | |
---|---|---|
65 | 350 | |
7,674 | 44,534 | |
- | 0.5% | |
9.1 | 10.0 | |
12 days ago | 5 days ago | |
C | Julia | |
GNU General Public License v3.0 or later | 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.
quickjs
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Show HN: Happy Pi day with this PWA to cut 100k Pi digits offline
It uses service workers to cache static files, by the time it opens up you already free to be offline, try toggle network switch to verify.
It has download link at bottom of the about page ([accdoo.app/about]) which you could then self host it by dropping into any static hosting services.
btw, the Pi feature was by-product from the original App but I won't expand here, if you'd like to learn more, please checkout its two Show HN post (39115559 and 39138957) previously.
[wiki]: https://en.wikipedia.org/wiki/Chudnovsky_algorithm
[quickjs/pi]: https://bellard.org/quickjs/pi.html
[pi_bigint.js]: https://github.com/bellard/quickjs/blob/master/examples/pi_b...
[accdoo.app/about]: https://accdoo.app/about#releases
[39115559]: https://news.ycombinator.com/item?id=39115559
[39138957]: https://news.ycombinator.com/item?id=39138957
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Ask HN: C/C++ plugin make JavaScipt end up with C/C++ binary?
Just go with quickjs, I think this is what you are looking for.
https://bellard.org/quickjs/
- Show HW: accdoo cipher web app now fused with offline Pi cutter (100k digits)
- QuickJS JavaScript Engine
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A list of JavaScript engines, runtimes, interpreters
QuickJS
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Can you make your own JavaScript by implementing ECMAScript standard?
I think QuickJS, written in C, is a user-"friendly" starting point for implementing ECMA-262. Documentation QuickJS Javascript Engine.
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New QuickJS Release
There is a readme on the project's main page: https://bellard.org/quickjs/
The newsworthy bit here is that the activity seemed to have stalled for year or two and now Fabrice pushed a few fixes and made a new release.
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GitHub
Just to demonstrate GitHub repositories do not necessarily reflect upon a programmers' body of work, Fabrice Bellard has one (1) repository published on GitHub, quickjs. Compare the list of work on Bellard's home page https://bellard.org/.
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WinterJS
> I am still confused, it's a JavaScript runtime intended to be deployed to JavaScript/Wasm runtimes?
Seemingly.
> Why does a JavaScript runtime need a JavaScript runtime?
Because if you want to create a Service Worker server for CloudFlare Workers and other JavaScript/Wasm runtimes, that's the only option for doing that AFAIK.
FWIW, this isn't a new idea. For example, Figma uses QuickJS (https://bellard.org/quickjs/) for their plug-in runtime: https://www.figma.com/blog/an-update-on-plugin-security/
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?
Duktape - Duktape - embeddable Javascript engine with a focus on portability and compact footprint
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
jerryscript - Ultra-lightweight JavaScript engine for the Internet of Things.
NetworkX - Network Analysis in Python
mjs - Embedded JavaScript engine for C/C++
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.
edex-ui - A cross-platform, customizable science fiction terminal emulator with advanced monitoring & touchscreen support.
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
Numba - NumPy aware dynamic Python compiler using LLVM
esp8266-quickjs - An attempt on getting QuickJS working on ESP8266 hardware
F# - Please file issues or pull requests here: https://github.com/dotnet/fsharp