TriangularSolve.jl
quickjs
| TriangularSolve.jl | quickjs | |
|---|---|---|
| 1 | 67 | |
| 12 | 7,744 | |
| - | - | |
| 6.6 | 9.1 | |
| 28 days ago | 7 days ago | |
| Julia | C | |
| MIT License | GNU General Public License v3.0 or later |
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.
TriangularSolve.jl
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Why Fortran is easy to learn
> But in the end, it's FORTRAN all the way down. Even in Julia.
That's not true. None of the Julia differential equation solver stack is calling into Fortran anymore. We have our own BLAS tools that outperform OpenBLAS and MKL in the instances we use it for (mostly LU-factorization) and those are all written in pure Julia. See https://github.com/YingboMa/RecursiveFactorization.jl, https://github.com/JuliaSIMD/TriangularSolve.jl, and https://github.com/JuliaLinearAlgebra/Octavian.jl. And this is one part of the DiffEq performance story. The performance of this of course is all validated on https://github.com/SciML/SciMLBenchmarks.jl
quickjs
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What Is in a Rust Allocator?
You may be familiar, but I just wanted to show how it is available in many C implementations and is used, for example, in QuickJS: https://github.com/bellard/quickjs/blob/0c8fecab2392387d76a4...
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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/.
What are some alternatives?
Pkg.jl - Pkg - Package manager for the Julia programming language
Duktape - Duktape - embeddable Javascript engine with a focus on portability and compact footprint
SuiteSparse.jl - Development of SuiteSparse.jl, which ships as part of the Julia standard library.
jerryscript - Ultra-lightweight JavaScript engine for the Internet of Things.
GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.
mjs - Embedded JavaScript engine for C/C++
BLIS.jl - This repo plans to provide a low-level Julia wrapper for BLIS typed interface.
edex-ui - A cross-platform, customizable science fiction terminal emulator with advanced monitoring & touchscreen support.
rr - Record and Replay Framework
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.
MPI.jl - MPI wrappers for Julia
esp8266-quickjs - An attempt on getting QuickJS working on ESP8266 hardware