Lagrange is a comprehensive C++ geometry processing library focused on 3D mesh manipulation, analysis, and visualization. It provides a robust core mesh data structure (SurfaceMesh) with extensive algorithms for mesh processing including subdivision, simplification, cleaning, remeshing, and parameterization. The library features specialized modules for geodesic computation, texture processing, volume conversion, boolean operations, and more, along with UI/viewer components for interactive visualization and Python bindings for scripting. Built with a modular architecture using modern C++ template metaprogramming, it emphasizes algorithmic correctness through exact predicates and supports multiple mesh formats via Assimp integration.
The ANARI SDK is a comprehensive implementation of the Khronos ANARI (ANother API for Rendering and Imaging) standard, designed for scientific visualization rendering. It provides a core C/C++ frontend library, multiple device backends including a CPU reference renderer (helide using Embree), an experimental GPU backend (helide_gpu using SDL3 GPU), a remote rendering device over TCP, a debugging/serialization device, and a no-op sink device. The SDK also includes a Conformance Test Suite (CTS) for validating device correctness via image-based comparisons (SSIM/PSNR), a reusable base framework (Helium) that abstracts common device implementation patterns (parameter management, deferred commits, object lifecycle), code generation tools that produce C++ code from JSON extension definitions, and an OpenUSD Hydra render delegate plugin for integration with Pixar's USD ecosystem. Additionally, it ships example applications (viewer, capability analysis tool, Blender add-on) and a rich set of test scenes for performance and correctness testing.
Alumnet is a full-stack, AI-powered alumni exhibition and management system designed for school history museums. It consists of three workspaces: a touch-screen kiosk frontend (client) built with Vue 3, Three.js, and Tailwind CSS; an admin dashboard (admin) using Vue 3 and Element Plus; and a backend server (server) built with Express, TypeScript, PostgreSQL (with pgvector), and Qdrant for vector search. The system provides alumni CRUD, AI-powered natural language search via RAG, 3D galaxy visualization, timeline corridor, interactive message boards, video greetings, donation management, and comprehensive admin controls including content audit, backup/restore, and data import. It features JWT authentication with role-based access, privacy data masking, rate limiting, and a layered architecture (routes → services → repositories). The codebase includes extensive testing (unit, integration, property-based with fast-check) and is deployable via Docker Compose or PM2. While primarily an application, it incorporates data engineering patterns through its RAG pipeline and knowledge base management.
This repository is an interactive 3D biology teaching application built with React, TypeScript, Vite, and three.js. It allows users to explore detailed models of biological structures (plant cell, animal cell, white blood cell, neuron, DNA) with rotation, zoom, and informational overlays. The application features a custom model loading system that prioritizes the initially displayed model and preloads others in the background to optimize bandwidth usage. The UI consists of a sidebar for model selection, a central 3D viewing area, and an information panel detailing each model's characteristics. The code demonstrates thoughtful engineering in resource loading, state management, and responsive design, making it suitable for educational contexts.
Three-forcegraph is a reusable JavaScript library for creating 3D force-directed graph visualizations using Three.js. It implements a reactive component that takes graph data (nodes and links) and renders them in 3D space using either d3-force-3d or ngraph.forcelayout for physics simulation. The library provides extensive customization options for node/link appearance, behavior, and layout constraints including DAG modes, directional arrows, and particle effects. Built with the Kapsule pattern for state management, it follows a modular architecture separating core logic, utilities, and Three.js object management. The library handles proper resource disposal to prevent WebGL memory leaks and offers both imperative and declarative APIs for integration into web applications.
Gitlantis is a VS Code extension that turns the traditional file explorer into an interactive 3D ocean world. Users control a boat to navigate a seascape where directories appear as lighthouses and files as buoys, making code exploration more engaging. The extension communicates via webview with a React Three Fiber interface, offering features like branch switching, file opening, and settings customization. It also supports a standalone browser mode for demo purposes using sample data. Architecturally, the extension consists of a VS Code extension host that handles workspace and Git operations, and a rich webview application built with React 18, Three.js, React Three Fiber/Drei, and Zustand for state management. The 3D scene includes dynamic ocean tiling, boat physics (using React Three Cannon), collision-based node interaction, a compass, minimap, and ambient audio. The UI layer provides splash screens, loading states, settings modals with multiple tabs, and mobile joystick support. The codebase demonstrates modern frontend practices and creative use of 3D in a developer tool. However, it has several maintainability concerns: many @ts-expect-error comments for Three.js types, hardcoded demo data for browser mode, a complex dual-build setup, and no automated tests. Some components, like the settings modal and the dynamic backdrop, are well-abstracted and potentially reusable in other Three.js projects.