Building blocks and infrastructure for developers

Project overview

Quasar Awesome is a curated directory for developers working with the Quasar framework. It groups official documentation and community links with tutorials, video courses, app extensions, third-party components, development tools, and projects built with Quasar. The list is useful for learning and package discovery, but many external entries are neither created nor maintained by the Quasar team, and their compatibility may target different Quasar versions.

Project overview

This template combines Tauri 2, the Next.js App Router, Tailwind CSS, and TypeScript with preconfigured Biome, Rust formatting checks, and GitHub Actions. Developers can run the frontend inside a Tauri window and package a statically exported build for release. Because a packaged Tauri app does not include a continuously running Node.js server, the frontend must use static site generation rather than Next.js server-side rendering. The author also notes that Next.js may be more framework than many Tauri apps need.

Project overview

Revenue Messaging Framework audits a B2B homepage, scores its messaging, explains weaknesses section by section, and returns rewritten headlines, value propositions, calls to action, and a three-layer narrative. It is meant to clarify what a go-to-market team should change on its own site, combining an open methodology with a Claude Code skill. The output is an audit and rewrite, not a general page builder.

Project overview

This repository is a reference implementation of the RealWorld application using Rust, Yew, and WebAssembly. It demonstrates a full frontend with CRUD flows, authentication, routing, pagination, function components, and hooks while following the shared RealWorld API specification. Developers can run the web build through Docker or the Rust and Trunk toolchain, and optionally package the same application as a Tauri desktop app. It is intended for learning and comparison rather than as an end-user service.

Project overview

This repository contains the hands-on exercises for a RubyConf workshop on building basic desktop applications with Ruby and Glimmer DSL for LibUI. Learners install the gem, run the included examples, and progress through interface tasks, MVC architecture, and optional application scaffolding on macOS, Windows, or Linux. It is instructional workshop material designed to accompany a presentation and video, not an end-user desktop application.

Project overview

This developer template demonstrates a Tauri v2 desktop application with a Next.js interface and a FastAPI backend. PyInstaller compiles the Python service into a single-file sidecar that Tauri starts and stops, while the frontend communicates with it over local HTTP, so end users do not need a separate Python installation. Developers can build platform-specific installers locally or adapt the included GitHub Actions workflow for Windows, macOS, and Linux releases.

Project overview

Triangula uses an iterative evolutionary algorithm to approximate an image with triangles or other polygons. Users can work through the separate graphical application or the companion CLI, which generates an intermediate JSON result and later renders it to SVG or PNG. The number of points and optimization settings can be adjusted for different styles and detail levels. Unlike instant geometric filters, the algorithm improves over repeated iterations and may need meaningful processing time before the result reaches the desired fitness.

Project overview

Neel helps Nim developers create desktop tools with a web frontend while retaining access to Nim on the backend. It handles routing, JSON conversion, and two-way calls between JavaScript and Nim, and release builds can embed the frontend assets. The library has been tested on macOS, Windows, and Linux, but it currently opens Chrome in app mode by default and is described as too early for large commercial applications.

Project overview

Chameleon replaces hardcoded colors with a small semantic CSS contract that can be reused across HTML artifacts. Its Claude Code skill can create themed pages or propose a dry-run conversion for existing files, while a Chrome extension applies the reader's saved theme across compatible pages. For durable or offline artifacts, the theme can be baked into the HTML and pinned to a contract version.

Project overview

Provide hierarchical data and drilldown-table renders the same corner-header report layout to XLSX, DOCX, or PPTX from one shared engine. It supports row, column, and two-dimensional drill-downs, uneven two-to-four-level branches, automatic totals, and three visual themes. Users can run it as a Claude or Codex skill, a Windows desktop app, a browser tool, or a Python library.

Project overview

This benchmarking toolkit runs ARC-AGI tasks through configurable adapters for providers such as OpenAI, Anthropic, and Gemini, with rate limiting, retries, saved submissions, and scoring built in. It supports both single-task debugging and asynchronous batch runs. Full evaluations require separately cloned ARC-AGI data, and hosted models require their respective API credentials.

Project overview

Use Deno to create WebView windows, communicate between frontend and backend code, and compile experimental Tauri desktop applications into executables or installers. Development requires Deno, a stable Rust toolchain, and Tauri's platform prerequisites. The repository is explicitly unmaintained, its published demo is documented as failing, and several planned capabilities remain incomplete. It is therefore better suited to studying an earlier Deno–Tauri integration approach than to serving as a dependable foundation for a new application.

Project overview

Distill Figure helps developers build interactive explanations with plain HTML and ES modules. Its reusable components cover linked graphs, matrices, plots, controls, and chart wrappers, while the render and probe tools check multiple widths and real pointer or keyboard interactions. It is useful when visual polish must be accompanied by working interactions, without a bundler or framework.

Project overview

SAP-RPT-1-OSS Predictor helps prepare SAP extracts and run classification or regression with SAP’s open-source tabular foundation model using in-context learning. It includes local prediction and batch-processing helpers, with an optional playground API path. A Hugging Face account is required, and a 24–80 GB GPU is recommended for the intended workloads.

Project overview

Aurelia 2 is a front-end framework for browser, mobile, and desktop applications that stays close to web standards and favors conventions over configuration. Applications are composed from JavaScript or TypeScript classes paired with HTML templates, and developers can start with the project generator or study the repository's loader and bundler examples. The supplied documentation describes Aurelia 2 as beta software, with untested public API areas and additional breaking changes still possible.

Project overview

Peg helps you create consistent slide decks and data-heavy presentations without starting in a design tool. It supplies opinionated HTML templates, CSS design tokens, React components, and entrance or transition animations built around typography, restrained color, and flat layouts. Chinese typography and reduced-motion preferences are handled explicitly, while static exports preserve the completed visual state.

Project overview

flutter-rs provides tooling and a template for building desktop applications with Dart and Rust. After installing Rust, the Flutter SDK, and the cargo-flutter command, developers can create a project, run it with hot reloading, and build an AppImage release. The repository describes the project as work in progress, so it is better suited to experimentation, learning, or contributors willing to handle compatibility issues.

Project overview

wechat-typesetter is a reusable formatting specification for turning source text into inline-styled HTML that survives the WeChat public-account editor. It defines a two-color card system, eleven components, image-card wrappers, compatibility filters, and six self-checks. The source characters and paragraph structure must remain unchanged, with one output block per input paragraph. It targets WeChat on desktop and mobile; other publishing platforms are untested, and JavaScript is intentionally excluded.