# Baekalfen/PyBoy

Game Boy emulator written in Python

Repository: https://github.com/Baekalfen/PyBoy
Canonical: https://ross.abutalabs.com/products/pyboy
Language: Python
License: NOASSERTION
License Family: other
Topics: gameboy, emulator, pypy, python, gameboy-emulator, gameboy-emulator-library, cython
Last push: 2026-08-25T15:13:26+00:00

## Health v2 (maintenance only)
Score: 89/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 70, longevity 100
- inputs: {"age_days": 4114, "days_push": 8, "days_rel": 120, "gap_med": 37, "n_releases_24m": 12}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5193, forks 537 (observed 2026-08-28T04:09:11.981620+00:00)

## What it is
PyBoy is a Game Boy and Game Boy Color emulator written in Python, usable both as a standalone terminal application and as an embeddable Python library. It exposes an API for programmatic control, making it popular for AI/RL experiments on classic games.

## Use cases
- play game boy roms on my computer
- emulate gameboy games in python
- train a reinforcement learning agent to play pokemon red
- script a bot to play a gameboy game
- integrate a gameboy emulator with openai gym

## When to choose
- you want to run Game Boy ROMs from Python or the terminal
- you need a programmable emulator for AI, bots, or RL research
- you want rewind and scripting features for retro games

## When to avoid
- you need high-accuracy emulation of other consoles
- you need maximum native performance from a C/C++ emulator
- you want to emulate Game Boy Advance or newer systems

## Facets
- artifact type: library
- maturity: active
- function: game-engine, simulation, machine-learning
- domain: gaming-tools, simulation, reinforcement-learning, developer-tools
- platform: python, cross-platform, cli
- tags: gameboy-emulator, emulation, reinforcement-learning-environment, gym, cython, retro-gaming

## Member repositories
- Baekalfen/PyBoy (main) score 89

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:11.981620+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 2026-08-29T18:01:44.715184+00:00, confidence not recorded.
  - readme: https://github.com/Baekalfen/PyBoy (fetched 2026-08-28T04:09:11.981620+00:00, sha 37cfd23009cb)
- Data as of 2026-08-30T08:39:29.467469+00:00.