Anime.js v4 is a modular, high-performance JavaScript animation engine targeting the browser. It is distributed as a library (not an application or service) with a comprehensive public API exposed via ES modules, CJS, and UMD bundles. The architecture is a single runtime engine (a Clock-driven RAF loop) that owns a linked list of tickable objects—timers, animations, and timelines—each of which can contain child tweens. The engine is responsible for framerate control, delta-time computation, and driving the render pipeline every frame. The core data flow is: user calls (e.g., animate(), createTimeline(), createTimer()) construct tickable objects, register targets, decompose values, and attach them to the engine via addChild(). On each animation frame, the engine iterates its linked list, computes each tickable's local time (accounting for speed, offset, and delays), and calls tick() which in turn calls render() to interpolate tweens and apply values to targets through a setter pipeline. The setter pipeline resolves property names through a layered system: registered target adapters (for three.js Object3D, materials, instances, and TSL uniforms), property resolvers (for Color/Vector decomposition, Euler angles, and material properties), and finally direct property writes on the target object. Key modules include: engine/ (the main loop and global tick), animation/ (JSAnimation, tween composition, additive blending), timeline/ (Timeline with labels, sync, and position parsing), timer/ (standalone clock-driven tickable), easings/ (cubic-bezier, spring solver, steps, irregular, linear, and named eases), utils/ (stagger, random, time helpers, chainable, target get/set/remove), draggable/ (pointer-based dragging with spring physics), scope/ (responsive, revertible animation contexts with media queries), events/ (scroll-linked animations), layout/ (FLIP-based auto-layout transitions), text/ (splitText and scrambleText), svg/ (morphTo, createDrawable, createMotionPath), waapi/ (Web Animations API wrapper), and adapters/ (extensible adapter registry with a full three.js integration). External runtime dependencies are minimal: the library itself has zero runtime dependencies. The three.js adapter is an optional peer dependency. Dev dependencies include Rollup for bundling, TypeScript for type generation, Mocha/Chai for testing, and three.js for the adapter tests. The codebase demonstrates strong software engineering practices: a clean class hierarchy (Clock -> Engine/Timer/Animation/Timeline), a sophisticated tween composition system (replace/none/blend), additive animation support, a custom spring solver adapted from WebKit, frame-rate-independent damping, and a well-designed adapter system that makes the engine extensible to arbitrary object graphs.
AutoBangumi is a fully automated anime download and organization tool. It subscribes to RSS feeds (Mikanani, etc.), downloads torrents via qBittorrent or Aria2, parses release titles to extract episode/metadata, renames and organizes files for media libraries (Plex, Jellyfin), and provides a web UI for management. The backend is a FastAPI application with async SQLite storage, background schedulers, and a multi-provider notification system. The frontend is a Vue 3 + TypeScript single-page app with a custom component library. The architecture employs clean abstraction layers for downloaders, notification providers, and LLM-based title parsing, with a state machine for durable rename operations and a secure online update mechanism. It is a well-engineered application with extensive test coverage (unit, integration, E2E with Playwright) and active development reflected in frequent releases and a robust CI pipeline.
Kazumi is a cross-platform Flutter application for browsing, collecting, and streaming anime (番剧). At its core, it provides a curated media experience: users can discover anime via popularity rankings, weekly schedules, text and image (trace.moe) search; manage a local watchlist synced with Bangumi (bgm.tv) and WebDAV; and play videos using a hardware-accelerated media_kit (libmpv) player with danmaku overlay, Anime4K super-resolution shaders, Picture-in-Picture, and external player support. It also downloads episodes (HLS segments) for offline playback and supports synchronized group viewing via the Syncplay protocol. The application is built as a Flutter monolith with modular routing (flutter_modular), reactive state management (MobX), local storage (Hive), and a custom plugin system that defines scraping rules (XPath/API) to extract video sources from third-party websites. External dependencies include Bangumi, DanDanPlay, trace.moe, WebDAV servers, and a GitHub-hosted plugin catalog. The codebase demonstrates mature engineering practices including well-isolated async utilities, event-sourced history sync with conflict resolution, and platform-specific WebView integrations for video source extraction and captcha handling.
search-engine-parser is a Python library and CLI tool designed to scrape search engines for structured results. It provides a base class for search engine implementations with specific parsers for engines like Google, Bing, Yahoo, DuckDuckGo, and others. The tool supports both synchronous and asynchronous HTTP requests, includes caching to avoid repeated requests, and uses user-agent rotation to prevent blocking. Key features include a command-line interface (pysearch) for terminal use and a programmatic API for integration into other projects, returning results as SearchItem objects with convenient access to titles, links, and descriptions.
TheAnimeScripter (TAS) is a production-grade AI video enhancement toolkit specialized for anime content. It performs frame interpolation (RIFE 4.15-4.25 variants, GMFSS, DistilDRBA), super-resolution (30+ architectures via a vendored spandrel fork), restoration, frame deduplication, monocular depth estimation (Depth Anything V2/V3, Video Depth Anything, Limbo), scene-change detection, stabilization, segmentation, and object detection. It ships as a CLI tool (main.py), an Adobe After Effects plugin (src/server/aeComms.py via Socket.IO), and a standalone desktop build (build.py + tools/build_support/). The pipeline is: decode video via FFmpeg or the custom nelux library, stream frames through a FrameWindow sliding buffer, apply dedup → restore → upscale → interpolate stages, then re-encode with configurable codecs, bit depths, and BT.709/BT.2020 color spaces.
ACGTI (ACG Type Indicator) is a production-grade, open-source web application that delivers a personality quiz matching users to anime characters based on MBTI dimensions. The frontend is a Vue 3 SPA with TypeScript, Vite, and vue-router, featuring 39 Likert-scale questions, 8 archetypes, and over 100 curated characters with multilingual support (zh-CN, zh-TW, en, ja). The backend runs on Cloudflare Pages Functions with D1 database for anonymous statistics collection, AI-generated insights via Workers AI, and a cron worker for periodic stats snapshots. The codebase includes extensive offline analysis scripts (Python and Node.js) for weight calibration, probability simulation, and data validation, demonstrating a hybrid character with strong data engineering practices. The architecture is clean: frontend scoring engine is decoupled from backend, i18n is well-structured, and CI/CD pipelines enforce data integrity. While the project is actively maintained and uses modern tooling, some manual synchronization points (e.g., count constants, duplicate data sources) introduce minor fragility.
Animite is an unofficial Android client for AniList (with partial MyAnimeList support) for tracking anime and manga. The application is built with a modern Android stack: Kotlin, Jetpack Compose, Material3, Apollo Kotlin (GraphQL), Ktor (REST), DataStore, Hilt, and Coil. It features a multi-module architecture with clear separation of concerns: API layers, core UI components, navigation, and feature modules (explore, profile, media, settings, social, anime, manga, banner). The app supports browsing, searching, filtering, detailed media pages with dynamic theming (time-of-day based banner), user profile management, and list editing with drag-and-drop reordering. The codebase demonstrates strong modularity and reusable UI patterns, though it relies heavily on experimental Compose APIs and has a few code quality concerns (e.g., hardcoded credentials, large screen files, alpha version instability).
CloudStream is an Android media aggregation application that streams and downloads movies, TV series, and anime via a plugin-based provider system. The app has no built-in content; all media sources are provided by community extensions implementing `MainAPI` and `ExtractorApi` interfaces. The architecture comprises a Kotlin Multiplatform library defining plugin APIs and an Android app with ExoPlayer/Media3 playback, download manager, sync with tracking services (MAL, AniList, Kitsu, Simkl, Trakt), multi-source subtitle fetching, Chromecast support, and adaptive phone/TV UI. Content acquisition relies on web scraping: over 100 built-in extractors parse video hosting sites, often using JavaScript deobfuscation (via a custom JS interpreter) and AES decryption. The plugin system supports repository-based distribution, versioning, and binary compatibility checks. While the codebase is actively maintained and demonstrates good engineering practices (MVVM, coroutines, custom adapters), many extractors are brittle due to external site dependencies, and some modules exhibit tight coupling and deprecated API usage.
This repository is a bit-exact decompilation of Touhou Koumakyou ~ the Embodiment of Scarlet Devil (TH06) for Windows, aiming to reconstruct the original executable from scratch using reverse engineering. It is primarily an application—a full game reimplementation with subsystems for graphics (Direct3D8), audio (DirectSound, MIDI), input (DirectInput), enemy scripting (ECL), sprite animations (ANM), replay recording, menu UI, and more. The build system uses MSVC 7.0 and DirectX 8.0 SDK, orchestrated by Python scripts and Ghidra for analysis and comparison. While the core purpose is binary-matching reconstruction, the project also functions as a research repository for understanding the game's internals, with extensive mapping data (CSV files) and Ghidra export scripts. The codebase is large, tightly coupled via global singletons, but contains several self-contained reusable components such as the Chain callback system, PBG3 archive parser, DirectSound wrapper, MIDI player, and a standalone PE file parser (pefile.py). Active development and CI indicate ongoing work to complete the decompilation.
GreenResourcesManager is an Electron + Vue 3 desktop application for local-first management of personal digital media collections—games, images, videos, novels, audio, websites, and software. It provides a config-driven UI with customizable pages, tag-based filtering, batch import, and built-in readers (EPUB, PDF, comic viewer, video player). Notable features include a desktop pet gamification system (affection, hunger, earnings), a disguise mode for privacy, a plugin system, and a local HTTP API for external access. Data is stored in SQLite with legacy JSON file backup. The application is actively developed (last commit April 2026) with a sizable feature set and internationalization (zh-CN, zh-TW, en, ja). However, the codebase shows significant technical drift: near-duplicate main-process code in `electron/` and `public/js/`, incomplete migration from JSON to SQLite, hardcoded Windows-specific paths, and extensive debug logging scattered throughout. The pet subsystem is tightly coupled and the plugin system remains marked as under development. While the config-driven UI pattern and composable architecture offer reuse potential, overall craftsmanship is average—functional but with notable boilerplate and coupling.
UKIKU is a feature-rich Android application for streaming and downloading anime episodes, built primarily in Kotlin with some legacy Java. It scrapes content from animeav1.com (and related sites) using Jsoup and custom JavaScript extraction, bypassing Cloudflare protection via a WebView-based mechanism. The app offers a comprehensive anime tracking experience: browsing a directory, searching, viewing details, watching episodes via ExoPlayer (with Chromecast and Android TV support), downloading (including HLS), managing favorites and watch history, queuing episodes, earning achievements, and syncing user data to Firebase Firestore or Dropbox. It also includes a gamified economy system (loli-coins) and extensive ad integration (AdMob, AppLovin). The architecture follows MVVM with Room database, WorkManager, and coroutines, but suffers from significant technical debt: duplicate UI layouts (material vs. non-material), deprecated libraries (Anko, RxJava, old MaterialDialogs), fragile scraping logic, weak encryption, and hardcoded API keys. Despite these issues, the app is functional and has a large user base (203 stars, 39 forks). It is not a data research project; it is a consumer Android application.
This repository is the central index and deployment configuration for the trace.moe anime scene search engine. It contains no application code; the actual functionality is implemented in separate repositories (trace.moe-api, trace.moe-www, etc.). The primary artifact is a Docker Compose file that orchestrates the entire stack, including PostgreSQL, Milvus vector database, and the API server. This repo is useful for operators who want to deploy the trace.moe system, but developers looking for reusable code should look at the sub-repositories. The documentation provides clear, step-by-step deployment instructions. The system itself is an image-based scene search service that uses vector similarity search to identify anime scenes from screenshots.