# danicat/pacgo

A Pac Man clone written in Go (with emojis!)

Repository: https://github.com/danicat/pacgo
Canonical: https://ross.abutalabs.com/products/pacgo
Language: Go
License: MIT
License Family: permissive
Topics: pac-man, tutorial, game, golang
Last push: 2025-11-21T07:36:49+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 53, release rhythm 35, longevity 100
- inputs: {"age_days": 2913, "days_push": 285, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1218, forks 139 (observed 2026-08-28T04:04:01.618603+00:00)

## What it is
Pac Go is a Pac Man clone written in Go that runs in the terminal, rendered with emojis. It doubles as a hands-on tutorial for learning the Go programming language through game development.

## Use cases
- learn Go programming by building a game
- terminal pac-man game
- tutorial covering pointers and concurrency in Go
- fun alternative to CRUD-based Go tutorials
- example of terminal escape sequences in Go

## When to choose
- you want a fun, project-based introduction to Go
- you already know basic programming and want to learn Go idioms
- you're interested in terminal-based games and escape sequences

## When to avoid
- you need a polished, full-featured Pac Man game
- you're a complete beginner to programming
- you're on Windows without a terminal emulator

## Facets
- artifact type: learning-resource
- maturity: active
- function: game, cli, developer-tools
- domain: education, gaming-tools, tutorials
- platform: cli, go
- tags: pac-man, terminal-game, go-tutorial, emojis, learn-go, command-line, linux, macos

## Member repositories
- danicat/pacgo (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:01.618603+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 2026-08-30T06:17:03.155915+00:00, confidence not recorded.
  - readme: https://github.com/danicat/pacgo (fetched 2026-08-28T04:04:01.618603+00:00, sha 6abe8ec4feef)
- Data as of 2026-08-30T08:39:29.467469+00:00.