phpdesktop
julia
phpdesktop | julia | |
---|---|---|
12 | 350 | |
2,640 | 44,534 | |
- | 0.4% | |
4.0 | 10.0 | |
3 months ago | about 11 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.
phpdesktop
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NativePHP: A framework for building desktop apps with PHP
I am a bit surprised by the critical tone in the comments here. Phpdesktop [1] is, for example, a very nice application, and the ability of php to just make some simple scripts on the go and have something that works, is wonderful (compared to js where you often have to build etc, the threshold of getting started on a new computer is high). I have several times needed to make simple applications with a database, and php is perfect for that usecase. Making it simpler to share these applications to non-technical users for offline use is nice
[1] https://github.com/cztomczak/phpdesktop
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NativePHP is Coming...
I’ve been using PHP Desktop for a while for internal tools. https://github.com/cztomczak/phpdesktop
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Introducing Lute ("Learning Using Texts") - free language-learning software I'm using for Spanish
There's a project to make php apps -- https://github.com/cztomczak/phpdesktop -- but it doesn't have Mac support yet. Alas.
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Any good resources for developing on windows xp?
Since we're in the webdev subreddit, I suppose you will use a webstack. Here is what I have been using in an institution with a hellish ton of xp computers: PHPDesktop ChromeV47 . PHP is not mandatory, since it basically searches for and index.* file, which can be a html file with a lot of js. Use jquery with ajax calls to make your life easier for API requests and other stuff of old era JS (I dont remember if it supports fetch api and newish QOL changes). You basically develop a web app in a chrome wrapper. Works just fine on oldies.
- Funding for a Mac release is completed
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How can I save my DB php SQL locally as desktop app
re-write it as a desktop app, you could use php desktop to save time.
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convert wordpress to windows app with php desktop
PHP Desktop seems to use 7.2.12, which reached end of life on late 2020. I wouldn't put my eggs in that basket.
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Ask HN: Anybody Using PHPDesktop?
Ever since I found PHP desktop (https://github.com/cztomczak/phpdesktop), I've been having a blast playing around with it. I've created my own "desktop applications" that I use daily. It's quick to build something I need to run locally (on Windows) vs learning/building an actual Windows application. Also I find PHP easier to build MVPs over Javascript (i.e. Electron). I'm curious if anybody else is building anything using PHP desktop? What kind of applications/services did you build or using with it?
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From a HTML JS PHP Website to an Installable Desktop Application
Go to this repo https://github.com/cztomczak/phpdesktop by Czarek Tomczak, then search for downloads. As I’m working with Windows, I used PHP Desktop v57.0 for Windows release (https://github.com/cztomczak/phpdesktop/releases/tag/chrome-v57.0-rc). Download the zip file and extract the content wherever you want. Rename the folder as you prefer, you could use the name of your website. Let’s call it Myapp. This is a sort of container with a self-contained web server (Mongoose) and PHP 7.1.3. For example, launching the exe file called phpdesktop-chrome.exe will “read” what’s inside the Myapp/www folder. That’s where you will have to move your entire website to.
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Why is MicroPython a thing
There's also phpdesktop which is akin to Electron and other such things.
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?
electron - :electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS [Moved to: https://github.com/electron/electron]
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Thorium-Win - Chromium fork for Windows named after radioactive element No. 90; Windows builds of https://github.com/Alex313031/Thorium
NetworkX - Network Analysis in Python
HHVM - A virtual machine for executing programs written in Hack.
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.
moddable - Tools for developers to create truly open IoT products using standard JavaScript on low cost microcontrollers.
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
Numba - NumPy aware dynamic Python compiler using LLVM
miniblink49 - a lighter, faster browser kernel of blink to integrate HTML UI in your app. 一个小巧、轻量的浏览器内核,用来取代wke和libcef
F# - Please file issues or pull requests here: https://github.com/dotnet/fsharp