Dillinger is a cloud-enabled, online Markdown editor with live preview, export to Markdown, HTML, and PDF, and synchronization with cloud storage services including GitHub, Dropbox, Google Drive, OneDrive, and Bitbucket. Built with Next.js 14 (App Router), the application uses Monaco Editor for editing, Zustand for client-side state management with localStorage persistence, and markdown-it with a rich plugin chain for rendering. It features a modular architecture with API routes for OAuth flows and file operations per cloud provider, a versioned public REST API (v1) for rendering and export, and separate packages for a CLI tool and an MCP server for LLM integration. The codebase is well-organized with clear component separation (editor, preview, sidebar, modals, UI primitives), custom hooks per integration, and comprehensive unit and E2E test coverage. Auxiliary agent/skill files and design system CSVs exist in the repository but are development tools, not part of the application runtime.
Butterfly is a cross-platform, open-source note-taking application built with Flutter, offering an infinite canvas for drawing, writing, and organizing notes. It supports a wide range of tools including pen, eraser, shape, text, laser, ruler, stamp, and area management, along with features like layers, pages, waypoints, backgrounds, textures, and real-time collaboration via WebSocket or Swamp protocols. The application can export to PDF, SVG, PNG, and Xournal++ formats, and integrates with WebDAV for file synchronization and backup. It is available on Android, Windows, Linux, macOS, iOS, and web platforms. The architecture follows a BLoC/Cubit pattern for state management, with a clear separation of concerns: handlers manage tool interactions, renderers draw elements on the canvas, and selections provide property editing UIs. The core data models are defined in a separate Dart package (`butterfly_api`) using freezed and json_serializable for immutable, serializable objects. The app uses a custom file system abstraction (`lw_file_system`) to support local, WebDAV, and Android SAF storage backends. Keyboard shortcuts are declaratively defined via an Action/Intent system, and the app supports embedding via a postMessage bridge for iframe integration. Key entry points include `app/lib/main.dart` for app bootstrap, `app/lib/bloc/document_bloc.dart` for central document state, and the various handler and renderer files in `app/lib/handlers/` and `app/lib/renderers/`. The application relies on external dependencies such as Flutter SDK, flutter_bloc, freezed, archive, phosphor_flutter, pdfrx, and material_leap. The codebase is actively maintained with frequent releases, extensive localization (20+ languages), and a comprehensive documentation site built with Astro/Starlight.
This is an Obsidian plugin that integrates large language models (LLMs) directly into the note-taking environment. It provides a template-driven text generation system using Handlebars with custom async helpers, supports multiple LLM providers (OpenAI, Anthropic, Google Gemini, Mistral, Ollama, Perplexity, HuggingFace, Together AI, MiniMax, Azure, and custom endpoints), and offers content extraction from PDF, audio, images, YouTube, RSS, and web pages. The plugin includes a community template marketplace, auto-suggest, an overlay toolbar, a playground for testing templates, and extensive Obsidian integration (commands, views, settings, CodeMirror extensions). Architecturally, it is a client-side monolithic plugin that communicates directly with external LLM APIs and the npm registry for package management. The codebase is large (300+ files) and well-organized into providers, extractors, UI components, and services, but it shows some drift due to hard-coded model lists and deprecated provider support (e.g., Google PaLM). The async Handlebars helpers and generic caching utility are highlight components that could be extracted for reuse in other projects.
This repository hosts the static website re0-web, which provides a Chinese translation of the Japanese light novel series 'Re:Zero - Starting Life in Another World'. The system is a pipeline that crawls the original Japanese text from an online source, applies translations (likely manual or semi-automated), formats the content into Markdown, builds a static site using mdbook, and deploys it via GitHub Pages. The core application logic resides in Python scripts under `py/`, including a crawler, translator, formatter, and index generator. Build and deployment are automated through GitHub Actions workflows. The repository also includes pre-built EPUB files, images, and a Dockerfile for local development. While the project is a fan translation effort, its architecture demonstrates a well-structured ETL-to-static-site pipeline with CI/CD, making it a practical example of automated content publishing.