3 مستودعات
Shared repositories of community-contributed metadata used to synchronize content behavior across platforms.
Distinguishing note: None of the candidates cover a general database for crowdsourced timestamps.
Explore 3 awesome GitHub repositories matching data & databases · Crowdsourced Metadata Databases. Refine with filters or upvote what's useful.
This project is a crowdsourced registry and ideation hub for open source software concepts. It serves as a public database where users submit project requirements and implementation details to attract contributors and recruit collaborators. The platform distinguishes itself by mapping project ideas to existing software repositories to prevent duplicate development and maintain registry accuracy. It utilizes a categorization engine that allows developers to filter ideas by specific technology stacks and estimated development effort. The system provides a collaboration layer using threaded dis
Serves as a crowdsourced registry for submitting project requirements and linking existing software solutions.
BilibiliSponsorBlock is a content filtering system and API server designed to identify and remove sponsored segments and filler content from Bilibili video playback. It utilizes a crowdsourced segment database where users contribute and vote on timestamps to create a shared repository of skippable video sections. The project features a video metadata synchronizer that links equivalent videos across different platforms, allowing skip markers and timing data to be shared between mirrored content. It implements a reputation-based permission system to manage submissions and edits, alongside a pri
Stores crowdsourced timestamps for video sections to provide synchronized skipping data across multiple client platforms.
MusicBrainz Picard is a metadata tagger and audio tag editor that identifies and tags audio files using the MusicBrainz community music database. It functions as a plugin-extensible tagging framework and a scriptable file organizer capable of reading and writing tags across various audio formats including MP3, FLAC, and WAV. The project is distinguished by its acoustic fingerprint identifier, which matches unknown music files to known recordings via sonic fingerprints. It features a custom scripting language for automating metadata transformations and organizing files into structured folder h
Queries a community-curated music database using lookup keys to retrieve accurate album and track metadata.