# davidrmiller/biosim4

Biological evolution simulator

Repository: https://github.com/davidrmiller/biosim4
Canonical: https://ross.abutalabs.com/products/biosim4
Language: C++
License: NOASSERTION
License Family: other
Last push: 2026-06-13T19:52:58+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 87, release rhythm 35, longevity 100
- inputs: {"age_days": 1810, "days_push": 81, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3362, forks 476 (observed 2026-08-28T04:07:58.113359+00:00)

## What it is
A C++ command-line program that simulates biological creatures evolving through natural selection in a 2D arena, as featured in the YouTube video 'I programmed some creatures. They evolved.' Creatures have genomes driving neural network brains with sensory inputs and action outputs. The project is now in maintenance-only mode, accepting only bug fixes and discussions.

## Use cases
- simulate creatures evolving through natural selection
- experiment with genetic algorithms and neural network brains
- explore how behaviors emerge from evolution
- run agent-based evolution experiments in a 2D world
- learn how an evolution simulator is implemented in C++

## When to choose
- you want a self-contained, code-walkthrough-friendly evolution simulator
- you want to reproduce or extend the experiments from the associated YouTube video
- you prefer a lightweight CLI tool configurable via an ini file

## When to avoid
- you need a graphical user interface (use the ilyabrilev fork instead)
- you need a production-grade or actively developed research platform
- you need a general-purpose agent-based modeling framework

## Facets
- artifact type: application
- maturity: maintenance
- function: simulation, cli
- domain: simulation, artificial-intelligence
- platform: windows, cli, cross-platform
- tags: evolution, natural-selection, genetic-algorithms, neural-networks, agent-based-simulation, biology, algorithms, linux, macos

## Member repositories
- davidrmiller/biosim4 (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:58.113359+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 2026-08-29T18:40:20.729726+00:00, confidence not recorded.
  - readme: https://github.com/davidrmiller/biosim4 (fetched 2026-08-28T04:07:58.113359+00:00, sha 631349fefc6c)
- Data as of 2026-08-30T08:39:29.467469+00:00.