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THE FIRST COLLECTIONguessit-js is a TypeScript port of Python guessit that extracts metadata (title, year, season, episode, codec, language, etc.) from media filenames. It is 100% compatible with Python guessit 4.4.0, 3.5x faster, and provides a CLI, REST API, and WASM support.
A self-hosted web application for managing audio libraries, specifically designed for editing FLAC/MP3 metadata and synchronized lyrics.
A comprehensive collection of zero-dependency Go client libraries for media automation, metadata, and download service APIs, covering over 60 services.
Watermark Cleaner is an offline CLI for Python and Node that removes hidden Unicode, AI text artifacts, and metadata from text, images, and documents before publishing.
Napics is an intelligent media asset management system for PC and NAS users, focusing on media library organization, quality analysis, metadata scraping, and long-term maintenance.
Local-first, zero-egress forensics toolkit for detecting and sanitizing AI watermarks: Unicode steganography visualization, statistical text detectors, C2PA/EXIF/XMP cleaning, SARIF/CI audit and MCP agent tools.
Dagster is a cloud-native data pipeline orchestrator designed for the development, production, and observation of data assets throughout their entire lifecycle.
Shields.io is a badge service and library that generates concise SVG or raster badges for readmes and web pages, pulling status from CI, package registries, code coverage, code analysis and many other sources.
