Anki is a mature, cross-platform spaced-repetition flashcard application. While it is fundamentally an end-user product, it contains significant embedded algorithmic and data-analysis components (FSRS memory-state scheduling, revlog analytics, retention simulation) that make it a hybrid of application and computational research. The production system consists of a Rust backend that owns all core logic, scheduling, SQLite persistence, sync, and media management; a Python Qt desktop frontend (`aqt`); a TypeScript/Svelte web UI for modern editors, graphs, deck options, and image occlusion; and a standalone sync server binary. Communication between languages is driven by protobuf service definitions, with generated bindings for Rust, Python, and TypeScript.
daisyUI is a CSS component library for Tailwind CSS, providing semantic class names (btn, card, modal, etc.) that abstract low-level utility classes for rapid UI development. The repository is a monorepo containing the core library (packages/daisyui), a comprehensive documentation site built with SvelteKit (packages/docs), a playground for testing, and tooling for build automation and AI integration. The library is framework-agnostic, using pure CSS with modern features like @layer, CSS custom properties, and OKLCH color space. It ships 60+ component families and 35+ built-in themes, all configurable via CSS variables. The documentation site includes interactive component demos, install guides for 20+ frameworks, i18n support, and a theme generator. The project has a strong AI/LLM integration layer with structured skill files, MCP servers, and plugins for coding agents (Claude, Codex, Cursor, etc.).
Cobalt is a privacy-focused media downloader web application with a SvelteKit frontend and Node.js/Express API backend. Users paste a URL from supported platforms (YouTube, TikTok, Instagram, Twitter/X, Vimeo, Reddit, SoundCloud, Twitch, Bilibili, and 15+ others) and receive a downloadable media file. The architecture is a monorepo with three packages: @imput/cobalt-web (static frontend), @imput/cobalt-api (processing backend), and @imput/version-info (build-time version helper). The API acts as a fancy proxy - it fetches media streams from source platforms, optionally remuxes/transcodes via FFmpeg (server-side or client-side via libav.js WebAssembly), and streams results back without ever writing to disk. The frontend handles URL input, settings management (localStorage with migration), a processing queue with Web Workers for client-side FFmpeg, i18n (EN/RU), and PWA features. Key data flows: user submits URL → API validates/matches service → extracts stream URLs → returns tunnel/redirect/picker response → frontend either streams directly, proxies via API, or processes locally via Web Workers. External dependencies: FFmpeg (via ffmpeg-static), youtubei.js for YouTube, hls-parser, undici for HTTP, Redis (optional for rate limiting), Cloudflare Turnstile (optional bot protection).
shadcn-svelte is an unofficial Svelte 5 port of shadcn/ui, delivered as a component library, a distribution registry, a CLI installer, and a documentation site. In production it functions as a copy-paste/installable UI kit: the docs site hosts a machine-readable registry of Svelte components, blocks, hooks, and fonts, while the `shadcn-svelte` CLI resolves registry items, rewrites imports/icons/theme tokens, and installs files directly into user projects. The core repo is a pnpm monorepo containing the CLI (`packages/cli`), headless primitives (`packages/primitives`), a parity tool (`packages/parity`), Svelte CLI addons (`sv-addons`), and a SvelteKit docs app (`docs`) that generates the registry JSON consumed by the CLI and serves as the project's public website.
Immich is a high-performance, self-hosted photo and video management platform composed of a NestJS backend server, a SvelteKit SPA frontend, a Python FastAPI machine-learning service, a Flutter mobile client (iOS/Android), a CLI tool, and a TypeScript SDK. The server orchestrates asset ingestion, metadata extraction (EXIF, OCR, facial recognition, CLIP embeddings), video transcoding (HLS), and background job processing via BullMQ/Redis, with PostgreSQL (Kysely ORM + vector extensions for smart search) as the primary data store. The ML service provides ONNX-based inference for CLIP visual/textual embeddings, face detection/recognition (InsightFace), and OCR (RapidOCR), supporting multiple hardware accelerators (CUDA, ROCm, OpenVINO, ARM NN, RKNN). The architecture uses a multi-worker process model (API, microservices, maintenance) managed by a main process that handles lifecycle and restarts. Key data flows include: mobile/web upload → asset processing pipeline → metadata extraction → ML inference → search indexing, with real-time sync via WebSocket/Redis adapter and a full incremental sync API for mobile clients. The codebase demonstrates strong engineering practices: comprehensive repository pattern with 50+ repositories, extensive medium/integration test suites, schema migrations managed via Kysely SQL tools, OpenAPI-driven SDK generation for both TypeScript and Dart, and a plugin system using Extism WASM.
Houdini is a full-stack GraphQL client framework with a compile-time-first approach, targeting React and Svelte applications. It consists of a Go-based compiler pipeline that extracts GraphQL documents from source files, generates optimized runtime artifacts (TypeScript), and manages caching, pagination, subscriptions, and optimistic updates. The runtime includes a normalized cache with fine-grained reactivity, client-side pagination (cursor and offset), progressive form handling with CSRF protection, OAuth integration, and a file-based routing system. The framework also provides a Vite plugin for HMR, a language server (LSP) with GraphQL completions and diagnostics, and production adapters for Node.js, Cloudflare, and static hosting. The architecture is hybrid: the core compiler is written in Go using SQLite for metadata storage, while the client runtime and framework integrations are TypeScript, with a plugin system supporting both Go and JavaScript extensions. The codebase is highly modular, with extensive unit and end-to-end test coverage across both SvelteKit and React.
Kiln AI is a full-stack, local-first AI development platform for building, evaluating, and iterating on LLM-based systems. It provides a desktop application (FastAPI server + SvelteKit web UI) and a core Python library (published on PyPI) that together enable users to define tasks, run models via LiteLLM across 190+ providers, evaluate outputs with a rich framework (LLM-as-judge, programmatic checks, code evals), fine-tune models, generate synthetic data, manage RAG pipelines (chunking, embedding, vector stores, reranking), and integrate tools (MCP, code tools, skills). The architecture is a monolith with a local server serving a single-page web app, with all data stored on the local filesystem and optionally synced to Git. The codebase is well-structured with clean abstractions, extensive test coverage (unit, integration, e2e with Playwright), and several reusable patterns (sandboxed code execution, git sync middleware, job system, eval plugin architecture). While primarily an application, it includes significant data/research capabilities for synthetic data generation and evaluation.
This is a monorepo for Auth.js (formerly NextAuth.js), a framework-agnostic authentication library for web applications. The core engine (`@auth/core`) handles OAuth/OIDC, email/passwordless, credentials, and WebAuthn/Passkey authentication flows. It provides a unified API for session management (JWT or database-backed), CSRF protection, and cookie handling. The library is designed to be integrated into multiple frameworks via separate packages: `@auth/nextjs`, `@auth/sveltekit`, `@auth/express`, `@auth/qwik`, and `@auth/solid-start`. Each framework package adapts the core `Auth` function to the framework's request/response model, offering server-side handlers, middleware, and client-side hooks. The repository also includes over 80 built-in OAuth/OIDC provider definitions (e.g., Google, GitHub, Discord, Auth0) and 20+ database adapters (e.g., Prisma, Drizzle, MongoDB, PostgreSQL, DynamoDB) that implement a standard `Adapter` interface for user persistence. The project is now part of Better Auth, and the README recommends new projects use Better Auth unless specific feature gaps exist. The monorepo contains development apps, example applications, and a comprehensive documentation site built with Nextra.
Epicenter is a monorepo platform for building local-first, privacy-focused productivity applications with optional cloud sync. It encompasses a suite of apps including Honeycrisp (notes with Yjs CRDT sync), Whispering (voice transcription/dictation with local and cloud providers), Matter (typed markdown vaults with SQLite projection), Local Mail (Gmail mirror with offline triage), Local Books (QuickBooks mirror with CLI tools), Vocab (AI language tutor), Skills (agent instruction management), and the Epicenter desktop host (Tauri + Bun sidecar). The shared platform provides a CRDT-based data layer (Yjs with Durable Object authority), portable blob storage (IndexedDB, OPFS, S3), an OAuth/infrastructure-agnostic auth system, an agent loop framework with tool catalogs, and a server framework built on Hono for Cloudflare Workers or Bun. The architecture emphasizes offline-first, typed error handling (Result/defineErrors pattern), compile-time platform seams (browser/Tauri/desktop-host), and rigorous ADR-driven design with evidence benchmarks.
This repository is a production full-stack application for browsing, searching, downloading, and publishing galgame (visual novel) sticker packs. It is a pnpm monorepo containing a Nuxt 4 SSR frontend (`apps/web`) and a Go Fiber v3 API (`apps/api`) backed by PostgreSQL. The API exposes both internal service endpoints and a public read-only OpenAPI "face" for sticker content, while integrating with external ecosystem services: an OAuth 2.0 identity provider (PKCE, httpOnly session cookies, BFF pattern), a centralized content-addressed image service, a catalog service for games/characters, and a community service for comments, notifications, and reactions. Deployment is Docker images to GHCR via Dokploy, with versioned SQL migrations and GitHub Actions CI building all images on push to the `svelte-kit` branch. The backend is well-layered: handlers own HTTP concerns, services contain business logic without importing Fiber, repositories use GORM, and repeated cross-service communication is isolated in reusable `pkg` clients. Noteworthy engineering includes batch hydration for pack covers/tags/authors, trigram GIN search over flattened multilingual text, cursor pagination for notifications, and RFC 9457 problem-detail error responses in the public API. The frontend is organized into feature modules and includes a race-condition-safe catalog picker, OAuth PKCE utilities, and server-side OG image generation. The codebase is maintained and technically current, though some operational risks remain: dual error dialects between internal and public APIs, silent degradation when optional upstream services are down, and a few hardcoded backfill mappings in one-time scripts.
This repository is a collection of Nx plugins for integrating various frontend frameworks (Svelte, Solid, Preact, Ionic/Angular, Ionic/React, Stencil, Capacitor, SvelteKit) with Nx workspaces. It provides generators for scaffolding framework-specific projects and components, and executors for running framework-specific build, test, and serve commands within Nx. The architecture follows a monorepo structure with framework-specific packages under `packages/` and a shared `@nxext/common` package containing reusable utilities for Vite integration, dependency management, and workspace modifications. Each plugin adheres to Nx's plugin architecture with clear separation between generators (code generation) and executors (task execution). The project demonstrates strong maintenance practices with version synchronization scripts, comprehensive testing (unit and E2E), and documentation generation tools.
Lunarr is a self-hosted media server and streaming web application (similar to Plex or Jellyfin) built as a full-stack SvelteKit app with TypeScript. Despite the 'go' in the repository name, the codebase is entirely TypeScript running on the Bun runtime. It manages media libraries from local filesystems, SFTP, and WebDAV sources, scans and matches media against TMDB metadata, transcodes video with FFmpeg, and streams via HLS. The app includes user management, admin-only settings, library sharing via token-based shares, device pairing, and watch progress tracking with Continue Watching and Next Up rails.
Tokimeki is a full-featured, open-source Bluesky client built with SvelteKit and TypeScript. It provides a multi-column deck layout (similar to TweetDeck) with support for multiple accounts, real-time timeline updates, chat (direct and group), rich media embeds, custom moderation (keyword mutes, labelers), and extensive customization (themes, keyboard shortcuts, layout options). The application uses the AT Protocol (XRPC) for all Bluesky interactions, implements OAuth and password-based authentication, and includes a service worker for push notifications and offline caching. Architecturally, Tokimeki is a single-page application (SPA) with server-side routes for OAuth flows, AI features (alt text generation, column icon suggestions), and proxy endpoints. State management is handled via Svelte 5 runes ($state, $derived) and custom reactive classes (ColumnState, AppState, PostState). Data persistence uses IndexedDB (via Dexie) for accounts, bookmarks, and drafts, and localStorage for settings. The codebase is modular with clear separation of concerns: UI components in src/lib/components/, state classes in src/lib/classes/, utilities in src/lib/, and routes in src/routes/. It includes a comprehensive test suite using Vitest and Playwright. Key features include a custom feed merge engine for combining multiple timelines, a virtual scrolling system with Fenwick tree for efficient rendering, an image compression pipeline with WebAssembly and fallback, a full chat system with group management, and an atmosphere service registry for third-party integrations. The application is internationalized with 10+ locales and supports on-device translation via the browser's Translator API.
svelte-stripe is a Svelte component library that wraps Stripe Elements and Stripe.js, providing drop-in Svelte components for building payment UIs. It exposes context-based components such as Elements, PaymentElement, CardNumber, CardExpiry, and CardCvc, and handles Stripe.js loading, element lifecycle, and SSR safety. The repository also includes a SvelteKit demo application with examples for credit card, SEPA, iDEAL, and express checkout, plus server-side payment intent creation and webhook signature verification. It is a library and example app, not a data pipeline.
CloudMeet is a full-stack meeting scheduler (Calendly alternative) built entirely on Cloudflare's free tier. It uses SvelteKit for the frontend and server-side logic, Cloudflare D1 for the database, KV for caching, and Workers for cron-based email reminders. The application supports single-user (admin) operation with Google Calendar and Outlook Calendar integration, allowing attendees to book meetings that automatically create calendar events with video conferencing links (Google Meet or Microsoft Teams). It includes a comprehensive email notification system via Emailit API, customizable availability rules, event types, and a dashboard for managing bookings, profiles, and email templates. The architecture is a monolith deployed to Cloudflare Pages with a separate cron worker for reminders. The codebase demonstrates solid engineering practices: TypeScript throughout, well-structured caching layer with KV and browser cache, request coalescing, input validation, and a modular email template system. It is not a data research project; it is a production-ready application.
Memospot is a desktop application that bundles the Memos note-taking service as a self-contained Tauri v2 wrapper. It manages the Memos server as a sidecar process, provides a SvelteKit frontend for settings and interaction, and handles configuration persistence, database migrations, window state, keyboard shortcuts, and auto-updates. The architecture is a Rust backend with a web frontend, using a Rust workspace with multiple crates for config, dialogs, sidecar management, port picking, and homedir resolution. The frontend is built with SvelteKit, Tailwind CSS, and uses Paraglide for i18n. The build system includes GitHub Actions CI/CD, Docker-based builds, and installers for Windows (NSIS/WiX), Linux (deb, AppImage, Flatpak), and macOS. The codebase demonstrates solid engineering practices with clean abstractions and reusable utility crates, though it has some pinned dependencies and complex CI workflows.
This is a SvelteKit application demonstrating authentication using Auth.js. It provides sign-in with multiple providers (Google, GitHub, etc.) and protects a route requiring authentication. The application consists of standard SvelteKit routes, components for UI (header, footer, sign-in button), and centralized authentication configuration in auth.ts. The session is managed via cookies and made available to all pages through a layout load function. The code follows SvelteKit conventions and uses Auth.js's SvelteKit adapter for authentication handling.