thehardwarestore.ai

This repository is an IPTV live-source automation tool that collects, tests, and aggregates TV channel streams from various sources (local files, subscriptions, EPG). It provides multiple interfaces: a CLI for updating channel lists, a REST API for serving M3U/TXT playlists, an RTMP/HLS streaming service for relaying channels, and desktop GUIs (Qt and Tkinter) for configuration and monitoring. The application is modular, with separate components for data fetching, channel testing, result aggregation, streaming, and GUI. It uses Docker for easy deployment and includes features like automatic speed testing, resolution filtering, whitelist/blacklist management, and EPG integration. The code demonstrates strong engineering practices with reusable components such as a structured reporting system, adaptive performance tuning, smart URL freezing with backoff, and cross-platform process handling.

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 The project is feature-rich and has been widely adopted, but the README states it is superseded by the Seerr community fork, and the codebase relies on several aging dependencies (Next.js 12, React 18, Tailwind 3) and a hardcoded TMDB API key.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.

This repository is an automated IPTV playlist aggregation pipeline. It operates as a daily GitHub Actions workflow that fetches live TV channel URLs from dozens of remote sources, parses them (M3U and plain text), classifies by channel category using hand-maintained dictionary files (e.g., CCTV, provincial channels, sports, movies), applies name normalization via OpenCC, deduplicates, sorts, and outputs merged TXT and M3U files. It also includes a stream validation subsystem (blacklist1.py, blacklist2.py) that checks URL health, records failures with timestamps, and maintains a persistent failure cache and host reputation tracker via a JavaScript state module. Historical snapshots and output archives are stored for rollback. The system is heavily customized for Chinese IPTV sources and lacks automated tests, but the core pipeline pattern and the stream validation state management are reusable.

This repository is a curated collection of live TV and radio channel playlists (M3U format) along with supporting web tools. It provides direct-access channel logos, an EPG (Electronic Program Guide) via Cloudflare Workers, a web-based HLS player, a streaming download proxy using ServiceWorker, and a TXT-to-M3U converter. The architecture is a static site hosted on GitHub Pages and Cloudflare CDN, with serverless functions for data aggregation. The primary data flows involve fetching EPG from external sources (112114.xyz, celetor/epg) and radio metadata from radio.cn, then serving them through Workers. The playlists aggregate hundreds of Chinese and international channels, but rely on third-party stream URLs that may become stale. The codebase is functional and well-documented, but contains some outdated vendored libraries (Vue.js 2.6.10) and external dependencies that introduce drift risk. It is not a software library but a practical toolset for IPTV enthusiasts.

WebViewTvLive is an Android TV live streaming application that uses the Tencent X5 WebView to display official TV channel web pages. It loads channel playlists from remote JSON sources, caches them locally, and provides a TV-optimized UI with remote control and touch input support. The app employs a per-site adapter pattern (WebpageAdapter) to inject JavaScript and trigger fullscreen playback for different streaming websites (e.g., CCTV, YouTube, MGTV). It features a channel bar, waiting indicator, settings for aspect ratio and source selection, and automatic playlist updates. The codebase is well-structured with separation of playlist management, settings, and UI, but the project is officially paused as open source, with the last released version being 1.6. Dependencies are reasonably up-to-date, though some deprecated Android APIs are used.

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.