# CarlGao4/Demucs-Gui

A GUI for music separation AI demucs

Repository: https://github.com/CarlGao4/Demucs-Gui
Canonical: https://ross.abutalabs.com/products/demucs-gui
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2025-06-20T05:38:11+00:00

## Health v2 (maintenance only)
Score: 46/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 27, release rhythm 40, longevity 100
- inputs: {"age_days": 1734, "days_push": 439, "days_rel": 496, "gap_med": 19.0, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1168, forks 84 (observed 2026-08-28T04:03:50.826057+00:00)

## What it is
A graphical desktop application wrapping the Demucs AI music source-separation model, letting users split songs into stems (vocals, drums, bass, etc.) without coding. It ships prebuilt binaries for Windows and macOS and runs from Python elsewhere.

## Use cases
- separate vocals from a song
- extract instrumental track from mp3
- split music into stems for karaoke
- isolate drums and bass from a track
- run demucs without using the command line
- make acapella versions of songs

## When to choose
- you want Demucs stem separation with no coding or terminal use
- you need a ready-to-run desktop app on Windows or macOS
- you want a simple GUI for batch audio separation

## When to avoid
- you need CLI automation or scripting of separation pipelines
- you want a lightweight tool without large PyTorch-based binaries
- you need real-time or in-browser separation

## Facets
- artifact type: application
- maturity: active
- function: machine-learning, audio-processing, gui
- domain: machine-learning, media, desktop-applications
- platform: windows, python
- tags: music-separation, stem-splitting, demucs, source-separation, no-code, audio, macos, linux, desktop

## Member repositories
- CarlGao4/Demucs-Gui (main) score 46

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:50.826057+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:28:45.225916+00:00, confidence not recorded.
  - readme: https://github.com/CarlGao4/Demucs-Gui (fetched 2026-08-28T04:03:50.826057+00:00, sha 3d740ecb23d8)
- Data as of 2026-08-30T08:39:29.467469+00:00.