MoviePilot-Frontend is the Vue 3 + Vuetify 3 single-page application frontend for the MoviePilot media management server. It provides a comprehensive UI for managing media libraries, subscriptions, downloads, file organization, plugins, user settings, and system administration. The architecture is a modern SPA with Pinia state management, Vue Router, Axios-based API client, and extensive use of composables for reusable logic. It features a plugin system using Module Federation for remote component loading, PWA support with service worker caching and offline capabilities, and a distinctive glass/transparent theme system with WebGL-based fluid dynamics and ripple effects. The codebase is well-structured with over 120 test files, MSW mock handlers, and a strong emphasis on testability. It is actively maintained with frequent commits and a large community (310 stars, 250 forks).
Searcharr is a Telegram bot application that interfaces with Sonarr and Radarr media management services. It allows users to authenticate, search for movies/TV shows, and add them to their media libraries through Telegram commands. The application features a modular architecture with separate layers for API communication, command handling, callback processing, and utilities. It includes robust authentication, conversation management for multi-step interactions, and internationalization support.
Ganymede is a media management system focused on archiving and managing Twitch content (VODs, live streams, clips) with a Go backend using Ent ORM, Echo framework, and River job queue, and a Next.js frontend with Mantine UI. It provides video archiving, playlist management, user authentication, API keys, and administrative interfaces. The system processes media through a pipeline involving yt-dlp, FFmpeg, and TwitchDownloaderCLI, storing metadata in PostgreSQL and files on disk. It includes features like chat archiving, chapter detection, muted segment detection, and rule-based playlist automation.
Spacedrive is a cross-platform file manager and virtual distributed file system (VDFS) that unifies files across devices and cloud storage into a single, searchable library. The core engine is written in Rust and provides indexing, media processing (thumbnails, OCR, speech-to-text), P2P sync with conflict resolution, volume detection, file operations, and an extensible WASM plugin system. The codebase is a large monorepo with multiple frontends: a Tauri desktop app, React Native mobile app, CLI, and web interface, all communicating with a daemon process via a typed RPC protocol. The architecture follows CQRS/DDD patterns with auto-generated TypeScript types and a job/task system for background work.
Botdarr is a Java-based chat bot application that integrates with Radarr, Sonarr, and Lidarr media management services, allowing users to search, add, and monitor movies, TV shows, and music via chat platforms (Discord, Slack, Telegram, Matrix). The system uses a monolithic architecture with modular packages: API clients for each media service, command processing, chat platform adapters, and a SQLite database for persistence (e.g., user request limits, callback data). The main entry point is `BotdarrApplication`, which initializes the configured chat client and starts listening for commands. Data flows: user messages are received by the chat client, parsed by `CommandProcessor`, which executes commands that call the media service APIs (via `RadarrApi`, `SonarrApi`, `LidarrApi`), and responses are formatted by platform-specific `ChatClientResponseBuilder` implementations before being sent back. External dependencies include Apache HttpClient, Jackson, JDA (Discord), Slack SDK, Telegram Bot API, Matrix client-server API, and Flyway for database migrations. The codebase demonstrates solid engineering with strategy patterns for lookup/add/downloads, a command pattern for user interactions, and a clean abstraction for chat client response formatting. However, it suffers from technical drift due to reliance on Java 8, outdated libraries (JMockit 1.40, Jackson 2.13.4.1), and manual versioning. The Matrix client support appears incomplete, and response formatting logic is duplicated across platforms, increasing maintenance burden.
Medusa is an automatic TV show management and download application (PVR) that monitors RSS feeds, torrent indexers, and Usenet providers to search for, download, and manage TV episodes. It provides a full web UI (Vue.js frontend with Tornado backend), a REST API v2, background schedulers for daily and backlog searches, subtitle downloading, metadata generation for media centers (Kodi, Plex, Emby), and a wide array of notification services (Discord, Slack, Pushbullet, email, etc.). The codebase is structured around a monolith architecture with a plugin-like provider system for search sources and an event-driven queue for background tasks. The application is deployed as a self-contained Python package with a Docker image, bundling many third-party libraries (tornado, requests, guessit, subliminal, oauthlib, etc.) in the `ext/` and `lib/` directories to avoid external runtime dependencies. Entry points include `start.py`, `medusa/__main__.py`, and the Docker init scripts. The primary data flow involves periodic scheduler execution that queries configured providers, parses results via the `NameParser`, updates the local SQLite database, triggers post-processing when downloads complete, and notifies configured services. Despite its feature-rich nature, the repository suffers from significant technical drift. It carries heavy Python 2/3 compatibility shims (six, future, libfuturize), a large volume of vendored libraries at uncertain versions, and uses legacy frontend build tools (Bower, Grunt). The provider and notifier systems show duplication and fragility, and there are over 497 open issues, suggesting ongoing maintenance challenges. However, the core scheduling, search, and processing logic is functional and has been refined over years of development.
The StreamVault repository currently contains only an archive notice, as the source code has been removed and the project discontinued. Originally, it was intended to be an application for recording and managing streams from platforms such as Bilibili and YouTube, as evidenced by the third-party licenses notice in the LICENSE file referencing bilibili-API-collect, f2, Light-Year-Admin-Template, and yt-dlp. However, with no source code present, the repository does not provide any functional application and serves solely as a historical record. Due to the absence of code, no architectural details, entry points, or data flows can be determined. The project is marked as deprecated, indicating long-term abandonment, and exhibits high technical drift as it is no longer maintained or updated to keep pace with its ecosystem. There are no reusable components to highlight, as the repository lacks any source code beyond standard licensing and documentation files.