Petalisp
dioxus
Petalisp | dioxus | |
---|---|---|
17 | 155 | |
425 | 18,526 | |
- | 11.5% | |
8.5 | 9.9 | |
about 2 months ago | 2 days ago | |
Common Lisp | Rust | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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Petalisp
- Petalisp: Elegant High Performance Computing
- Is there a tutorial for automatic differentiation with petalisp?
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Is there a language with lisp syntax but C semantics?
While not "as fast as C" (C is not the absolute pinnacle of performance), Common Lisp is incredibly fast compared to the majority of programming languages around today. There is even a huge amount of ongoing work being done to make it faster still. We are seeing many interesting projects that make better use of the hardware in your computer (e.g. https://github.com/marcoheisig/Petalisp).
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Common Lisp Implementations in 2023
i think lisp-stat library is actually being developed. however one numerical cl library that doesnt get enough mention and is being constantly developed is petalisp for HPC
https://github.com/marcoheisig/Petalisp
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numericals - Performance of NumPy with the goodness of Common Lisp
However, if you have a lisp library that puts those semantics to use, then you could get it to employ magicl/ext-blas and cl-bmas to speed it up. (petalisp looks relevant, but I lack the background to compare it with APL.)
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New Lisp-Stat Release
> his means cl pagckages can be "done".
this is true if there is nothing functional that can be added to a package. however its very much not true for ml frameworks right now. new things are being added all the time in the field. however even in the package i linked you have the necessary ingredients for any deep learning model: cuda and back propagation. the other person mentioned convolution which i think is pretty trivial to implement but still, if you expect everything for you to be ready made then you should probably stick to tf and pytorch. if you want to explore the cutting edge and push the boundaries then i think common lisp is a good tool. as an aside it might also be interesting to note that a common lisp package (Petalisp) is being used for high performance computing by a german university
https://github.com/marcoheisig/Petalisp
- The Julia language has a number of correctness flaws
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When a young programmer who has been using C for several years is convinced that C is the best possible programming language and that people who don't prefer it just haven't use it enough, what is the best argument for Lisp vs C, given that they're already convinced in favor of C?
One trick is that Common Lisp can generate and compile code at runtime, whereas static languages typically do not have a compiler available at runtime. This lets you make your own lazy person's JIT/staged compiler, which is useful if some part of the problem is not known at compile-time. Such an approach has been used at least for array munging, type munging and regular expression munging.
dioxus
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Dioxus 0.5: Web, Desktop, Mobile Apps in Rust
We have a web components example here: https://github.com/DioxusLabs/dioxus/blob/fd21c971038840130f...
Everything should work like normal except: attributes are not typed, custom event listeners must be implemented with web-sys
- Container2wasm: Convert Containers to WASM Blobs
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Why Are Tech Reporters Sleeping on the Biggest App Store Story?
I think something like https://dioxuslabs.com could deliver native, cross platform apps and win back mobile.
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Using Dioxus with Rust to build performant single-page apps
While we took an in-depth look at Dioxus in this tutorial, there is still so much to learn. Luckily, Dioxus provides detailed documentation with references and cookbooks to guide developers. Make sure you check it out, and feel free to comment below with any questions.
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Package All the Things
You can probably imagine the challenges of integrating such a system in a robust way that does a good job and improves on the status quo. We felt like the Tauri implementation worked well for Tauri apps. But there’s a problem: it was so tightly coupled to Tauri that the work couldn’t be enjoyed by other projects (not even the ones like Dioxus who were using Tauri’s underlying technology of Tao + Wry).
- Show HN: Play Euchre with AI Bots
- Dioxus: Fullstack GUI library for desktop, web, mobile, and more
- Projects to contribute to?
- Ask HN: React Native or Flutter for a new app in 2023?
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Announcing Floneum (A open source graph editor for local AI workflows written in rust)
Floneum is a graph editor for local AI workflows. It uses llm to run large language models locally, egui, and dioxus for the frontend, and wasmtime for the plugin system. If you are interested in the project, consider joining the discord, or building a plugin for Floneum in rust using WASI
What are some alternatives?
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
tauri - Build smaller, faster, and more secure desktop applications with a web frontend.
JWM - Cross-platform window management and OS integration library for Java
yew - Rust / Wasm framework for creating reliable and efficient web applications
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
leptos - Build fast web applications with Rust.
magicl - Matrix Algebra proGrams In Common Lisp.
sycamore - A library for creating reactive web apps in Rust and WebAssembly
lish - Lisp Shell
iced - A cross-platform GUI library for Rust, inspired by Elm
StatsBase.jl - Basic statistics for Julia
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond