LinkSwift

Tampermonkey is a browser extension by Jan Biniok for creating, installing, managing, and running userscripts—small JavaScript programs that add features to or modify web pages. It supports Chrome, Microsoft Edge, Safari, Opera Next, and Firefox, and can be used to run scripts such as LinkSwift on cloud-drive pages. Its features include a popup for enabling or disabling scripts and checking updates, a dashboard for organizing installed scripts, automatic script updates, site blacklisting, compatibility support for older Greasemonkey userscripts, script synchronization, and a built-in CodeMirror editor with ESLint syntax checking.

Bili23-Downloader is an open-source, free, cross-platform desktop downloader for Bilibili, developed and maintained by Scott Sloan. It supports Windows, Linux, and macOS, with a Fluent Design interface, light and dark themes, multithreaded downloads, resumable transfers, automatic retries, bandwidth limits, proxy configuration, clipboard monitoring, and multilingual UI support. The application parses videos, series, films, courses, interactive videos, music, user spaces, favorites, watch history, playlists, and related Bilibili collections. It can select video and audio qualities and codecs, preview media before downloading, save danmaku and subtitles in formats including XML, ASS, JSON, SRT, LRC, and TXT, preserve cover images, write chapter and NFO metadata, and package output as MP4 or MKV. It also provides configurable naming and directory rules, duplicate-download detection, account login through QR code, SMS verification, or cookies, and optional embedding of ASS danmaku or subtitles into MKV files. The project is released under the GPL-3.0 license.

BaiduPCS-Go is a cross-platform command-line client for Baidu Netdisk that provides a Linux-shell-like interactive interface as well as command-line commands. It supports multiple Baidu accounts, wildcard path matching, tab completion, directory browsing, metadata queries, file search, uploads, downloads, direct-download URL retrieval, copying, moving, renaming, sharing, recycle-bin operations, and offline downloads from HTTP, HTTPS, FTP, eDonkey, and magnet links. It can download files or directories with resumable and parallel file transfers, upload local files and directories using chunked uploads, and transfer files from Baidu sharing links, including password-protected links. The project is a continued development of iikira/BaiduPCS-Go and adds sharing-link transfer functionality; it is written in Go and provides builds or cross-compilation options for Windows, macOS, Linux, and mobile terminal environments.

Douyin Downloader is an MIT-licensed Python downloader for Douyin videos, image posts, collections, music, live streams, comments, and profile content, with additional support for TikTok and YouTube in its Douzy desktop application. It parses platform links, selects preferred no-watermark and highest-bitrate media sources, supports profile and account-content batch modes, and uses configurable concurrency, retries, rate limiting, SQLite metadata, local-file checks, and integrity validation. A browser fallback handles restricted post pagination and manual CAPTCHA flows; the project also provides optional REST API serving, notifications, JSON metadata export, live-stream recording, and OpenAI-based video transcription. It runs on Python 3.8+ across macOS, Linux, and Windows, includes Docker deployment, and offers the desktop application in closed beta.

DouK-Downloader is an open-source Python tool for downloading works and collecting data from Douyin and TikTok. It downloads videos, image posts, live photos, animated images, covers, livestreams, collections, and account posts, while collecting metadata, comments, search results, trending data, and engagement statistics. Downloads can be performed from individual or batch links, accounts, collections, or playlists, with support for incremental downloads, duplicate skipping, proxy requests, browser or manually supplied cookies, clipboard monitoring, resumable transfers, multithreading, folder-based archiving, and configurable filtering rules. The tool provides terminal interaction and a Web API, with automatically generated API documentation; its former Web UI mode is described as not currently updated. Collected data can be persisted as CSV, XLSX, or SQLite, and livestreams can be downloaded through FFmpeg. It runs as a Python application or packaged executable on Windows, macOS, and Linux, and can be deployed with Docker or to a private or public server. The repository states that it is licensed under GNU GPLv3 and that some functions require Node.js 18 or later.