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iamprivacy
I make things with computers

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WAVES v0.1.3

A native desktop app for downloading music from your own TIDAL account: search-first, art-forward, and built for people who'd rather click than type.

Python + Qt Quick (PySide6/QML) · built on the Tidal-DL-NG engine · AGPL-3.0 · up to HiRes Lossless / TIDAL MAX (24-bit 192 kHz) & Dolby Atmos · requires a paid TIDAL subscription.

» github.com/iamprivacy/Waves

SEARCH.EXEone bar for artists, albums, tracks, videos, playlists & mixes BROWSE.EXENew Arrivals & TIDAL Rising, art-forward and live-refreshed PREVIEW.EXEin-app playback of tracks & artist samples before you download DISCOG.EXEone-click discographies with duplicate handling & edition merging VIDEO.EXEbuilt-in player with quality picker up to 1080p QUEUE.EXEgrouped download queue with real-time progress LIBRARY.EXEPlex-friendly tagging & customizable folder structures MYTIDAL.EXEyour favorites with infinite scroll & sorting FFMPEG.BATone-click install, verified with status indicators LOGS.SYSdiagnostics with privacy-protecting redaction at the source

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all releases: github.com/iamprivacy/Waves/releases

install: macOS — drag waves.app to Applications · Windows/Linux — unzip and run Waves. Or from source: pip install "waves[gui]" (Python 3.12/3.13).

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Waves is an independent project and is not affiliated with, endorsed by, or sponsored by TIDAL. It is a personal, educational tool for accessing your own TIDAL account. You are solely responsible for how you use it and for complying with TIDAL's Terms of Service and the laws that apply to you; do not use it to infringe copyright or to reproduce, distribute, or pirate content. The software is provided "as is", without warranty of any kind. Please respect the artists and rights-holders whose work this plays.

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COMPY 386