Show HN: Rore GUI – An Open Qt Alternative in Rust (WGPU, Zero-VDOM)
Rore는 Rust로 작성된 고성능 GPU 가속 UI 프레임워크로, WGPU와 Taffy 레이아웃 엔진을 기반으로 하며, 데이터 그리드와 Web3 터미널 같은 무거운 데스크톱 애플리케이션에 최적화되어 있습니다. GPU 인스턴싱, 수학적 픽셀 완성도, 부분 리드로우, 미세 반응성, 가상 리스트 등 고급 기능을 지원하며, 메모리 사용량은 약 130MB, CPU 사용률은 매우 낮아 효율적입니다. 현재는 알파 단계로 완전한 애플리케이션 개발에는 아직 미완성이지만, 크로스 플랫폼 성능과 GPU 직접 제어를 통한 고성능 UI 개발에 유망한 대안입니다.
Rip language. Compiles to ES2022. Built-in reactivity
https://github.com/shreeve/rip-lang
#HackerNews #RipLang #ES2022 #Reactivity #Programming #Language
Reactive programming in #Rust - Observability - by Ivan Enderlin (@hywan)
https://mnt.io/series/reactive-programming-in-rust/observability/
eyeball - Add observability to your Rust types! - by @hywan and @jplatte
Sycamore – next gen Rust UI library powered by fine-grained reactivity
#HackerNews #Sycamore #Rust #UI #library #reactivity #nextgen
It’s looking like I’m going to need to build a reactive engine for work, so I’m going to prepare for that by writing down what I know about them. I want to look at three ways of building reactive engines: push reactivity, pull reactivity, and the hybrid push/pull combination that is used in a bunch of web frameworks. The Problem Statement The simplest way to visualise reactivity, in my opinion, is as a spreadsheet. You have a series of input cells, containing your initial data, and a series of output cells containing the final results. In between are many more cells containing intermediate computations that need to be done to figure out the final results.
Pushing and Pulling: Three reactivity algorithms
https://jonathan-frere.com/posts/reactivity-algorithms/
#HackerNews #Pushing #Pulling #reactivity #algorithms #tech #blog #programming
It’s looking like I’m going to need to build a reactive engine for work, so I’m going to prepare for that by writing down what I know about them. I want to look at three ways of building reactive engines: push reactivity, pull reactivity, and the hybrid push/pull combination that is used in a bunch of web frameworks. The Problem Statement The simplest way to visualise reactivity, in my opinion, is as a spreadsheet. You have a series of input cells, containing your initial data, and a series of output cells containing the final results. In between are many more cells containing intermediate computations that need to be done to figure out the final results.
Reactivity will continue to be a bit of a bitch until we figure out how to just use quantum entanglement.
Depuis longtemps, j'ai choisi SolidJS au lieu de React (ou Vue, Svelte, Angular...). Un de ces jours, je me pencherai peut-être sur qwik mais entre-temps, voici enfin la version 2-beta de Solid!
#signals friends.
#reactivity friends.
#webDev friends.
Thoughts on https://github.com/proposal-signals/signal-utils/issues/100 and being able to both depend on and change a value in a `reaction()`?
I'm looking at using a reaction like this: https://codepen.io/Westbrook/pen/QwNJdBK?editors=0010 import { Signal } from 'https://unpkg.com/signal-polyfill?module'; import { SignalSet } from 'https:...
Fukui functions provide an effective way to estimate molecular reactivity and pinpoint reactive sites. With #WEASEL, you can visualize these functions and compute all associated indices easily using just one command!
Learn more about WEASEL and its workflows at www.faccts.de/weasel
#FACCTs #CompChem #QuantumChem #Fukui #Reactivity #WorkflowAutomation
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