A browser-based tool for testing and configuring PlayStation DualSense, DualSense Edge, and DualShock 4 controllers via the WebHID API. It provides real-time visualization of all inputs (joysticks, buttons, triggers, gyroscope, accelerometer, touchpad), output control (lightbar, player LEDs, rumble, adaptive triggers, audio), and diagnostics (battery, telemetry, firmware info). For DualSense Edge, it offers profile editing including button remapping, joystick sensitivity curves, trigger deadzones, and vibration intensity. Built as a single-page application with Vue 3, TypeScript, and Pinia, it uses a custom device-based routing architecture that dynamically loads controller-specific views based on the HID device type. Communication with controllers is handled entirely in the browser through raw HID report parsing and construction, with audio streaming over USB (quadraphonic PCM) and Bluetooth (Opus via WebCodecs). The codebase is heavily modularized with composables for media playback, microphone capture, and state management. While primarily an application, the repository includes significant reverse-engineering work of the HID communication protocols for these controllers, making it a valuable reference for implementing controller support. The code is organized for extensibility, with a clean pattern for adding new controller types.
MD-TUI is a Rust-based terminal markdown viewer (TUI) that renders `.md` files with full keyboard navigation, syntax highlighting via tree-sitter, inline images, foldable `<details>` blocks, mermaid diagrams, table rendering, search, and link following (internal/external/wiki). It can be used as a standalone binary (`mdt`) or as a library. The architecture is monolithic but modular: a custom PEG parser (`src/md.pest`) converts markdown into a component tree (`ComponentRoot`) composed of `TextComponent` and `ImageComponent` nodes; these are rendered to the terminal using `ratatui`. Configuration is loaded from `~/.config/mdt/config.toml` or environment variables. The repository demonstrates strong Rust craftsmanship with well-separated modules, optional feature flags (`tree-sitter`, `network`), thread-local caching for syntax highlighting, and a comprehensive test suite covering parsing edge cases, search, and rendering behavior.
MediKeep is a full-stack personal health record (PHR) application built with FastAPI (Python) and React (Mantine UI). It allows users to manage comprehensive medical data including medications, conditions, allergies, immunizations, lab results, vitals, procedures, treatments, symptoms, injuries, encounters, family history, insurance, pharmacies, and practitioners. The system supports multi-user with patient sharing via invitations, SSO authentication (Google, GitHub, OIDC), custom PDF report generation with trend charts, document management integrations (Paperless-ngx, Papra), backup/restore, and internationalization (13 languages). The architecture follows a modular pattern with CRUD base classes, a service layer, domain events, and extensive testing (pytest, Vitest). Deployment is via Docker Compose with PostgreSQL. The codebase demonstrates strong engineering practices with clean abstractions, reusable components, and comprehensive test coverage, though some areas show signs of ongoing migration (JS to TS, adapter components) and debug artifacts remain.
Rustical is an open-source CalDAV and CardDAV server written in Rust, providing a lightweight, self-hosted alternative for calendar and addressbook synchronization. It implements the core WebDAV extensions (RFC 4791, 6352) with support for CalDAV scheduling, CardDAV group membership, WebDAV Push (web-push) notifications, and a built-in web frontend for management. The architecture is a modular Rust workspace with separate crates for DAV infrastructure, protocol handlers (caldav, carddav), storage abstraction, SQLite backend, XML serialization, OIDC authentication, and a Lit-based web UI. The server exposes RESTful HTTP endpoints via Axum, uses SQLite for persistence with `sqlx`, and supports app tokens, OIDC, and Nextcloud login for authentication. The codebase demonstrates solid engineering with thorough integration tests, snapshot testing, CI/CD pipelines, and a clear separation of concerns. However, it contains some workarounds and TODOs indicating active development rather than a polished final product. The custom XML derive macros and store trait pattern are particularly well-crafted and potentially reusable.
ghqr is a Go-based CLI tool for scanning GitHub enterprises, organizations, and repositories against a comprehensive set of best-practice rules. It produces actionable reports in Markdown, Excel, and JSON formats, with prioritized findings, remediation plans, and manual checklists. The tool also includes an MCP (Model Context Protocol) server for AI assistant integration, enabling interactive scanning and recommendations via stdio or HTTP/SSE. A deterministic mock generator allows demos and testing without live API calls. The architecture follows a composable pipeline pattern: initialization, data loading (from live API or JSON replay), enterprise/GHES/organization/repository discovery and scanning, evaluation against YAML-defined rules, and report rendering. Scanners use both REST and GraphQL APIs with batch queries, rate-limit handling, and tri-state boolean support for GHES on-prem instances. The rule registry is embedded as YAML files, loaded at startup into a typed registry that evaluators reference by stable rule IDs. Key entry points are the `ghqr scan`, `ghqr mcp`, `ghqr mock`, and `ghqr list-recommendations` commands. External dependencies include the GitHub API (REST and GraphQL), the `excelize` library for Excel output, and the `mcp-go` library for MCP protocol support. The tool is containerized via Docker and published to GHCR, with install scripts for Linux, macOS, and Windows.
An Obsidian plugin (Gemini Scribe) that integrates multiple AI providers (Gemini, Anthropic, OpenAI, Ollama) for chat, agent-based automation, and knowledge management within the Obsidian vault. The system provides a modular architecture with an agent loop that executes tools (vault operations, web search, RAG semantic search, image generation, deep research) with confirmation flows and diff previews. It features a declarative settings UI with per-feature provider routing, a skill system following the agentskills.io spec, MCP server integration, scheduled tasks, lifecycle hooks, and an evaluation harness for benchmarking agent behavior. The codebase demonstrates strong engineering practices: thorough unit testing (73%+ line coverage), clean module boundaries with leaf modules to prevent circular imports, and reusable patterns like typed event buses, retry decorators, and cancellation-safe streaming.
This repository contains the official IVPN desktop client, a multi-platform VPN application supporting Windows, macOS, and Linux. It is composed of three main components: a privileged Go daemon that manages VPN connections (OpenVPN, WireGuard, V2Ray), firewall (kill switch), DNS (including DNSCrypt-proxy for DoH), split tunneling, and WiFi trusted networks; a Go CLI for command-line control; and an Electron/Vue.js UI for graphical interaction. The daemon and clients communicate over a local TCP JSON protocol with authentication and event push. The codebase demonstrates strong engineering practices: platform abstraction via build tags, a custom ICMP ping library, a reusable logger, a type-safe IPC client library documented for third-party integration, and Windows WFP wrappers for firewall and split tunneling. Build scripts and native projects (Windows kernel driver, macOS helpers) handle cross-platform packaging and signing.
This repository is the Microsoft Desired State Configuration (DSC) v3 platform, a cross-platform (Linux, macOS, Windows) configuration management CLI tool written in Rust. It provides a declarative, idempotent system for managing operating system and application settings through resources (e.g., registry, services, firewall, packages) and configuration documents (JSON/YAML). The architecture is a Rust workspace of ~30 crates including the main `dsc` CLI binary, a core library (`dsc-lib`) with resource discovery and invocation, a JSON schema generation library (`dsc-lib-jsonschema`) with VS Code integration, platform abstraction libraries, and many individual resource executables (each a separate binary). It supports adapters for PowerShell and Windows PowerShell, extensions for discovery and secrets, an MCP server for AI tool integration, and Bicep integration via a gRPC server. The codebase is well-engineered with extensive tests, i18n, and consistent patterns, though its large surface area and Windows-specific code present maintenance challenges.
Anytype for iOS is a full-featured, offline-first knowledge management and collaboration application. It provides a block-based editor for notes, documents, and databases (sets/collections), along with chat, spaces, widgets, and membership management. The architecture follows MVVM with a coordinator pattern, heavily leveraging SwiftUI for modern UI and UIKit for legacy editor components. Communication with the backend (middleware) is via protobuf-defined commands and events, with real-time subscription-based data synchronization. Dependency injection is handled through the Factory library, and the codebase is modular with separate packages for services, design system, core utilities, and generated protobuf models. The app supports iOS 17+ and uses Swift 6 concurrency features extensively.
This is a Rust library (`kdl`) for parsing, manipulating, and serializing the KDL Document Language. It provides a fully round-trip-preserving parser (formatting, whitespace, comments) supporting both KDL v2 and, optionally, v1. The library exposes a rich AST (`KdlDocument`, `KdlNode`, `KdlEntry`, `KdlIdentifier`, `KdlValue`) with builder patterns and formatting configuration. It integrates with `serde` for deserializing/serializing Rust types from/to KDL, using a well-documented mapping convention (e.g., `#args`, `#rest`, property renames via `#@`). Error handling is implemented via `miette` for rich diagnostics. The repository also includes a language server (`kdl-lsp`) based on `tower-lsp` that provides diagnostics for KDL files, though incomplete. Comprehensive compliance tests (hundreds of input/expected KDL files) ensure spec adherence. The architecture is a single library crate with optional serde support, a separate v1 fallback crate, and an LSP tool. The core parser uses `winnow` with error recovery. Dead code from a disabled KQL query engine exists, and serde support is marked experimental, indicating some technical drift. Overall, it's a high-quality, professionally engineered library with excellent test coverage and well-thought-out abstractions.
GirCore is a comprehensive C# binding generator and runtime library for GObject-based native libraries (GTK, GStreamer, WebKit, Cairo, etc.). It reads GObject Introspection (GIR) XML files and produces strongly-typed C# bindings with P/Invoke declarations, SafeHandle memory management, and high-level managed APIs. The architecture consists of a generation pipeline (GirLoader parses GIR, GirModel defines an interface-based intermediate representation, Generator applies fixers and renders C# code via a modular converter system) and a set of runtime libraries (GLib, GObject, Gtk, etc.) that provide safe wrappers, signal handling, subclassing support, and platform abstraction. Key entry points include the GirTool CLI for regeneration, Module.Initialize() for library initialization, and Roslyn source generators/analyzers for GObject subclassing and GTK composite templates. The project is pre-1.0 but actively used by several desktop applications and the .NET MAUI Linux backend.
ReactFlux is a modern, customizable web frontend for Miniflux, a self-hosted RSS reader. It is a client-side single-page application (SPA) built with React 19, Vite 8, and nanostores for fine-grained state management. The application provides a rich reading experience with multiple article layouts (list, card, column), dark/light/system themes, keyboard shortcuts, touch gestures, offline support via PWA, and internationalization (6 languages). It communicates exclusively with a Miniflux server through its REST API, handling authentication, feed/category management, article fetching, and status updates. The architecture follows a component-based design with clear separation of concerns: API layer (src/apis), state stores (src/store), custom hooks (src/hooks), reusable UI components (src/components/ui), and utility functions (src/utils). The codebase demonstrates good engineering practices with well-factored hooks for complex behaviors like optimistic entry actions, infinite scroll pagination, and long-press context menus. It also includes a settings schema with versioned migration and import/export, accessible modal and scroll area components, and a feed icon fetcher with fallback chain. While the project is actively maintained and uses modern dependencies, it lacks automated tests and has a large CSS footprint with many responsive overrides. The tight coupling to the Miniflux API and reliance on experimental React Compiler features introduce some maintenance risk. Overall, ReactFlux is a strong example of a feature-rich client-side application with reusable patterns, suitable for developers building similar RSS reader interfaces or learning advanced React patterns.
UImGui is a Unity package that integrates Dear ImGui (immediate-mode GUI library) with the Unity game engine. It provides a complete solution for creating debug UIs, internal tools, runtime overlays, and editor-like workflows within Unity applications. The architecture centers around a UImGui MonoBehaviour that manages the Dear ImGui frame loop, with abstractions for rendering (Mesh vs Procedural), input (Input Manager vs Input System), and optional plugin integrations (ImPlot, ImNodes, ImGuizmo, etc.). The package supports all three Unity render pipelines (Built-in, URP, HDRP) and both Unity input systems, with proper texture handling, font management via FreeType, and docking support.
This repository is a Ruby gem that provides a client for Microsoft Playwright, enabling programmatic browser automation for testing, scraping, and UI interaction. It wraps the Playwright protocol by spawning a Node.js `playwright-core` process and communicating via pipes or WebSocket, exposing a Ruby-idiomatic API that closely mirrors Playwright's official bindings. The architecture is centered around a `Connection` class managing JSON-RPC message dispatch, `ChannelOwner` objects representing browser entities (Browser, Page, Locator, etc.), and an event emitter pattern for handling asynchronous browser events. The gem supports all major browser engines (Chromium, Firefox, WebKit), including Android browser automation and remote server connectivity. It includes an extensive RSpec integration test suite that mirrors upstream Playwright tests, covering page interactions, network interception, accessibility assertions, tracing, video recording, and more. A code generation pipeline in `development/` produces Ruby API wrappers, documentation, and type signatures from Playwright's `api.json`, ensuring alignment with each compatible Playwright version.
Bolt CEP is a comprehensive boilerplate for building Adobe Common Extensibility Platform (CEP) extensions using modern web technologies. It provides a unified development experience for creating extensions that work across Adobe applications like Photoshop, Illustrator, Premiere Pro, and After Effects. The system features a monorepo structure containing the core boilerplate, a project creation CLI (create-bolt-cep), and a specialized Vite plugin (vite-cep-plugin) that handles CEP-specific build tasks. Developers can choose between React, Vue, or Svelte for their frontend framework while writing type-safe ExtendScript that compiles down to ES3 for CEP compatibility. Key innovations include an end-to-end type-safe bridge between CEP JavaScript and ExtendScript (via evalTS/listenTS/dispatchTS), automated ZXP packaging with cross-platform signing support, and intelligent asset handling. The build process leverages Vite for fast HMR during development and Rollup for producing CEP-compatible ExtendScript bundles.
libOpenDRIVE is a C++17 library that parses OpenDRIVE (.xodr) road network definition files and generates 3D mesh models for visualization and simulation. The architecture is a classic object-oriented library with a central OpenDriveMap class that loads an XML file and exposes roads, junctions, lanes, road marks, objects, and signals. Key modules include geometry types (Line, Arc, Spiral, ParamPoly3), cubic spline profiles for elevation and lane offsets, a routing graph based on lane connectivity, and multi-resolution mesh generation with triangle strips. The library is dependency-light, relying only on pugixml for XML parsing and a bundled Fresnel integral implementation for spirals. It provides efficient coordinate transforms, surface point queries, and boundary approximation using Ramer–Douglas–Peucker or bezier decomposition. Tests using Catch2 validate parsing and routing against a real-world test file.
This repository is a comprehensive Vehicle Routing Problem (VRP) solver implemented in Rust, organized as a multi-crate workspace. It provides a command-line interface (vrp-cli), a core optimization library (vrp-core), a hyper-heuristic framework (rosomaxa), and format-specific crates for pragmatic JSON and scientific benchmarks (Solomon, Li&Lim, TSPLIB). The solver supports a wide range of VRP variants including capacity, time windows, skills, breaks, reloads, recharges, multi-depot, multi-trip, and route balancing. It employs advanced metaheuristics: ruin-and-recreate, local search (including LKH and SWAP*), and a custom evolutionary algorithm called ROSOMAXA that uses Growing Self-Organizing Maps (GSOM) for population diversity and Thompson sampling for dynamic operator selection. The codebase is highly modular with a trait-based feature system for composing constraints and objectives, type-safe dimension macros, and extensive test coverage including property-based tests. While primarily an application/library, it also contains research experiments (heuristic visualization, GPT-based encoding) and scientific benchmark integration. The project is actively maintained but explicitly labeled as 'permanently experimental' with limited support, and the API may introduce breaking changes in minor versions.
The iOS Backup Machine is a self-contained backup appliance for iOS devices, designed to run on a single-board computer (Radxa Zero 3W) with a Waveshare e-Paper display and PiSugar UPS. The software provides a Flask-based web UI for configuration and monitoring, a background daemon that manages iPhone backups via libimobiledevice (idevicebackup2), remote sync via rsync over SSH with host key pinning, WireGuard VPN integration for secure remote access, and notification delivery via MQTT or webhooks. It features encrypted credential storage (AES-256-GCM), automatic backup scheduling, staleness detection, battery-aware operation, and a setup wizard. The architecture is primarily monolithic with the main daemon (iosbackupmachine.py) handling display, backup orchestration, network monitoring, and hardware integration, while separate modules handle sync management, crypto, config, and the web interface. The codebase is well-tested with unit tests covering fail-safes, resource bounds, and configuration migration, and it demonstrates strong engineering practices in areas like atomic file writes, log capping, and rate-limited progress reporting.
Kuro is an Electron-based desktop client for Microsoft To-Do that wraps the web interface in a native application shell. It provides desktop-specific features like system tray integration, global keyboard shortcuts, auto-launch capabilities, and theme customization while maintaining compatibility with the Microsoft To-Do web service. The architecture follows a standard Electron pattern with main and renderer processes, using IPC communication for desktop features and electron-store for persistent settings. The application injects custom CSS to theme the Microsoft To-Do interface and adds platform-specific enhancements.
Quamina is a high-performance Go library for matching patterns against JSON events. It uses a custom NFA/DFA automaton approach internally, supporting exact strings, shell-style wildcards, and a subset of I-Regexp (RFC 9485). Patterns are defined as JSON objects with field/value constraints, and the library provides a concise API to add patterns and efficiently retrieve matches for events. The core is a compact `smallTable` data structure for byte-transition tables, with optimizations like incremental epsilon closures and table-pointer deduplication to keep matching near O(1) for exact patterns. Quamina is version 2.0.1, has zero runtime dependencies, and includes extensive benchmarks and a research subdirectory for performance analysis. It is intended as an embedded library for real-time event classification (e.g., routing, log analysis) rather than a standalone service.