yoinks

YOINK is a Python terminal note-taking and forecasting tool that stores notes as plain Markdown files with Obsidian-compatible frontmatter and wikilinks. It adds claims, deadlines, confidence levels, machine-testable conditions, and data sources to notes; when a claim is due, `yoink settle` reads the source, applies the test, and writes the outcome and reading back into the note. Supported sources include local files, CSV values, public EVM-chain JSON-RPC readings, and manually recorded URLs. The terminal interface provides capture, search, link navigation, tags, graph views, claim settlement, and vault health commands. It recomputes the vault from disk without a database or index, and `yoink score` reports note activity, settled-claim accuracy, confidence gaps, and Brier scores. An append-only, hash-chained JSONL ledger records captures, reads, claims, and settlements; the project describes it as tamper-evident rather than tamper-proof. The repository states that it targets Python 3.10 or later, uses only the standard library, has no external dependencies, and is licensed under MIT.

ReClip is a self-hosted, open-source video and audio downloader with a web interface. It accepts one or more URLs from sites supported by yt-dlp, fetches video information and thumbnails, and downloads the selected content as MP4 video or MP3 audio using yt-dlp and ffmpeg. The interface supports quality or resolution selection, bulk downloads, and automatic URL deduplication. The backend uses Python and Flask, while the frontend is a single file of vanilla HTML, CSS, and JavaScript with no build step. It can run locally from a shell script or in Docker, and is distributed under the MIT license.

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.

Mousiki is a keyboard-driven terminal music player (TUI) for browsing and playing local music files or searching and streaming online tracks through yt-dlp. It provides word-by-word synchronized lyric highlighting, an FFT spectrum visualizer, waveform rendering, spinning-disk artwork, and queue controls for shuffling, repeating, and track management. Colors, animations, visualizer behavior, hotkeys, and local music paths are configured through a file in the user's home configuration directory. It has native support for Linux, macOS, and Android through Termux; Windows support is unverified. Building requires CMake, a C++17 compiler, FFmpeg, yt-dlp, and the Python syncedlyrics package, and the project is licensed under Apache License 2.0.