# traverseda/pycraft

A fork of "Minecraft in 500 lines of python" intended to someday be used as a real engine, instead of as a learning example.

Repository: https://github.com/traverseda/pycraft
Canonical: https://ross.abutalabs.com/products/pycraft
Language: Python
License: MIT
License Family: permissive
Last push: 2021-03-25T21:57:54+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3800, "days_push": 1987, "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 1087, forks 95 (observed 2026-08-28T04:03:32.307681+00:00)

## What it is
A community fork of fogleman's 'Minecraft in 500 lines of Python', intended to evolve into a real voxel game engine rather than a learning example. It features Perlin noise terrain generation and an object-oriented block system, but is pre-alpha quality.

## Use cases
- build a voxel game in python
- experiment with a minecraft-like engine
- learn how voxel engines work
- prototype large-scale voxel world simulation
- extend a simple minecraft clone

## When to choose
- you want a hackable python voxel game base
- you prefer scale-out designs over real-time performance
- you want to contribute to an experimental engine project

## When to avoid
- you need a production-ready game engine
- you require high real-time performance
- you need modern python version support or active maintenance

## Facets
- artifact type: application
- maturity: experimental
- function: game-engine, graphics, simulation
- domain: graphics
- platform: python, cross-platform
- tags: voxel-engine, minecraft-clone, game, pre-alpha, perlin-noise, game-development, desktop

## Member repositories
- traverseda/pycraft (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:32.307681+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 2026-08-30T08:23:02.399271+00:00, confidence not recorded.
  - readme: https://github.com/traverseda/pycraft (fetched 2026-08-28T04:03:32.307681+00:00, sha 165d3ad614a8)
- Data as of 2026-08-30T08:39:29.467469+00:00.