# Rosalie241/RMG

Rosalie's Mupen GUI

Repository: https://github.com/Rosalie241/RMG
Canonical: https://ross.abutalabs.com/products/rmg
Language: C++
License: GPL-3.0
License Family: copyleft
Last push: 2026-07-29T17:39:57+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 95, release rhythm 88, longevity 100
- inputs: {"age_days": 2181, "days_push": 35, "days_rel": 80, "gap_med": 9.5, "n_releases_24m": 25}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1093, forks 103 (observed 2026-08-28T04:03:33.676086+00:00)

## What it is
Rosalie's Mupen GUI (RMG) is a free, open-source graphical front-end for the mupen64plus Nintendo 64 emulator, written in C++ with Qt. It provides a simple user interface for playing N64 games, managing ROMs, configuring input, and playing online via netplay.

## Use cases
- play Nintendo 64 games on Windows or Linux with a friendly GUI
- browse and manage an N64 ROM library
- set up netplay multiplayer sessions for N64 games
- configure controllers and input settings for N64 emulation
- install a ready-to-use N64 emulator via AppImage, Flatpak, or AUR

## When to choose
- you want a simple, actively maintained mupen64plus front-end
- you need netplay support for N64 multiplayer
- you prefer a GUI over command-line mupen64plus
- you want packages for Windows, Flatpak, AUR, or COPR

## When to avoid
- you need emulators for consoles other than the N64
- you want a headless or command-line-only emulator
- you need high-accuracy N64 emulation over convenience
- you require mobile or macOS support

## Facets
- artifact type: application
- maturity: active
- function: gui, graphics, simulation
- domain: gaming-tools, desktop-applications, cross-platform
- platform: windows, cpp
- tags: n64-emulator, mupen64plus, emulation, netplay, qt6, retro-gaming, linux, desktop

## Member repositories
- Rosalie241/RMG (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:33.676086+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 2026-08-30T06:47:40.304374+00:00, confidence not recorded.
  - readme: https://github.com/Rosalie241/RMG (fetched 2026-08-28T04:03:33.676086+00:00, sha fffd364d00db)
- Data as of 2026-08-30T08:39:29.467469+00:00.