An opinionated, fast music organiser.
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Updated
Jan 16, 2026 - Rust
An opinionated, fast music organiser.
Pedro Organiza is a modular, database-driven music library organizer focused on knowledge first, actions later. It analyzes, normalizes, and plans changes to music collections while keeping the human in control at every step.
An audio organizer powered with its language to organize music
音乐库整理、音乐标签刮削和歌词时间轴快速编辑,支持定时任务
A simple program for creating and editing playlists
Egle - music library manager, batch mass tag editor, bit-perfect HiFi player, FLAC authenticity checker and AutoEQ-to-Rockbox converter for Windows. Free download.
Automatically tag and rename audio files using AcoustID fingerprinting and MusicBrainz lookups. Supports MP3, FLAC, M4A, OGG, Opus, AAC, and WMA. Features a 3-step lookup pipeline (fingerprint → metadata search → filename parsing), atomic state tracking, path traversal protection, and dry-run mode. Runs as a systemd nightly service or on-demand CLI
KDE-native or console-based music library control for Linux — integrates MPRIS2-compatible players, kid3, rsgain, and KDE Connect
🎸 Organize your MP3 library automatically — with GUI, CLI, smart duplicate album merging, and auto audio fingerprinting
A simply tool to organize your music based on metadata
Opinionated, beets-driven pipeline that sorts and tags a music library into clean, complete albums and a separate singles collection, AcoustID/MusicBrainz-verified.
A set of Python utilities to organize music by album metadata and archive folders into ZIP files without compression.
🎵 iTunesify is a cross-platform Python script that uses the iTunes API to organize and tag your music library. It automatically fetches metadata, cover art, and creates a structured directory by artist and release type for easy organization. Supports both FLAC and MP3 files.
Automatically rename messy music files using their metadata tags. Transforms random filenames like `track1(128).mp3` into clean `Artist - Title.mp3` format.
An AI-powered, multi-threaded Python app that organizes music into an Energy/Mood/Genre hierarchy. Uses a cloud Spotify API engine, local 8-segment Librosa DSP, offline Machine Learning inference (MLP/Random Forest), and sub-millisecond SQLite3 caching.
Takes a library of music files and filters them by artist/album , it uses .NET's api of WinForms to create a simple GUI to facilitate its use
Crafted a website for organizing music playlists. Enabled users to create and modify playlists using intuitive TAG-based functionality and Spotify APIs, achieved 25% reduction in manual effort
A self-hosted app for beets music library management. Supports both automated and manual workflows.
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