# SUC-DriverOld/MSST-WebUI

A WebUI app for Music-Source-Separation-Training and we packed UVR together!

Repository: https://github.com/SUC-DriverOld/MSST-WebUI
Canonical: https://ross.abutalabs.com/products/msst-webui
Language: Python
License: AGPL-3.0
License Family: copyleft
Topics: music, python, msst
Last push: 2026-08-19T05:47:21+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 40, longevity 55
- inputs: {"age_days": 772, "days_push": 14, "days_rel": 589, "gap_med": 9, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1230, forks 84 (observed 2026-08-28T04:04:03.815673+00:00)

## What it is
A WebUI application for running inference with Music-Source-Separation-Training (MSST) and UVR/VR models, with preset processing flows, model installation, and tools like MIDI extraction and ensemble mode. The project is winding down in favor of pymss-desktop.

## Use cases
- separate vocals from a song
- remove background music from audio
- extract stems from a music track
- run UVR models with a web interface
- extract MIDI from singing
- ensemble multiple separation models

## When to choose
- you want a GUI for MSST or UVR/VR separation models
- you need customizable preset processing pipelines for audio separation
- you want bundled tools like MIDI extraction and ensemble mode

## When to avoid
- you want an actively maintained project - use pymss-desktop instead
- you need a CLI-only or programmatic API workflow
- you need real-time or streaming audio separation

## Facets
- artifact type: application
- maturity: maintenance
- function: audio-processing, machine-learning, gui, llm-inference
- domain: machine-learning, media
- platform: windows, python, cross-platform
- tags: music-source-separation, webui, vocal-remover, stem-separation, uvr, gradio, audio-tools, audio, linux, macos

## Member repositories
- SUC-DriverOld/MSST-WebUI (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:03.815673+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 2026-08-30T06:13:44.861880+00:00, confidence not recorded.
  - readme: https://github.com/SUC-DriverOld/MSST-WebUI (fetched 2026-08-28T04:04:03.815673+00:00, sha e10cd3405c5a)
- Data as of 2026-08-30T08:39:29.467469+00:00.