CarlGao4/Demucs-Gui
A GUI for music separation AI demucs observed · 2026-08-28
Health v2 · maintenance only
46/100
- Activity 27
- Release rhythm 40
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 19.0
- age_days: 1734
- days_rel: 496
- days_push: 439
- n_releases_24m: 5
Adoption not part of the score
1168 stars · 84 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
application · maturity active
machine-learning audio-processing gui machine-learning media desktop-applications windows python music-separation stem-splitting demucs source-separation no-code audio macos linux desktop
1 source
- readme: https://github.com/CarlGao4/Demucs-Gui · fetched 2026-08-28 · 3d740ecb23d8
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| CarlGao4/Demucs-Gui | main | 46 |
For agents
markdown · JSON · MCP: product_card(name="CarlGao4/Demucs-Gui")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem