This repository provides a comprehensive Docker Compose configuration for building a self-hosted NAS (Network Attached Storage) system. It orchestrates over 20 services including media management (Sonarr, Radarr, Lidarr, Bazarr, Prowlarr, qBittorrent, Jellyfin, Jellyseer), a WireGuard VPN (PIA), reverse proxy (Traefik with Let's Encrypt), a homepage dashboard (Homepage), automatic updates (Watchtower), and optional services like AdGuard Home, Home Assistant, Immich, Vaultwarden, Paperless, and more. The architecture is a multi-container Docker stack with a shared network, designed to run on any Docker-capable Linux box. The primary data flow involves downloading media via qBittorrent through a VPN, managing it with *arr applications, and serving it via Jellyfin. The repository includes automation scripts for initial configuration (update-config.sh) and port forwarding updates (pia-shared/portupdate-qbittorrent.sh). It is not a software application with custom code but rather a well-documented, opinionated deployment template. The codebase is primarily configuration files (docker-compose.yml, environment files, nginx configs) with a few bash and JavaScript scripts. The quality is good for its purpose: it is organized, documented, and widely used, but it lacks reusable software components that could be extracted into a new project with minimal modification.
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.
Overseerr is a full-stack self-hosted web application for managing media requests in a Plex ecosystem. Users can search for movies and TV shows via TMDB, submit requests (including 4K variants), and have those requests automatically pushed to Radarr/Sonarr for download. The application also tracks media availability by scanning Plex libraries, syncs Plex watchlists, and provides a comprehensive notification subsystem supporting Discord, Telegram, Slack, email, webhooks, and web push. It includes user management with granular permissions, quota enforcement, issue reporting, and a highly customizable discovery page built from TMDB-driven sliders, genres, networks, and studios. The frontend is Next.js (React) with Tailwind CSS, SWR, Formik, and react-intl i18n; the backend is Express with TypeORM on SQLite. The project is feature-rich and has been widely adopted, but the README states it is superseded by the Seerr community fork, and the codebase relies on several aging dependencies (Next.js 12, React 18, Tailwind 3) and a hardcoded TMDB API key. Despite this, the code is well-organized with clear separation between API clients, entities, routes, and UI components, and many parts are written with solid engineering patterns such as a base external API client with caching/rate limiting, a template-method scanner base class, and a clean notification agent interface.