# SebLague/Slime-Simulation

Repository: https://github.com/SebLague/Slime-Simulation
Canonical: https://ross.abutalabs.com/products/slime-simulation
Homepage: https://www.youtube.com/watch?v=X-iSQQgOd1A
Language: C#
License: GPL-3.0
License Family: copyleft
Last push: 2023-03-09T12:21:30+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1988, "days_push": 1273, "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 1516, forks 264 (observed 2026-08-28T04:04:56.645147+00:00)

## What it is
A Unity-based implementation of the Physarum (slime mold) agent-based simulation, created by Seb Lague as a companion to a YouTube video. It reproduces emergent network patterns from the referenced research paper using agents depositing and sensing trails.

## Use cases
- simulate slime mold physarum patterns
- learn agent-based simulation in Unity
- explore emergent behavior from simple rules
- educational demo of computational biology simulation
- recreate the slime mold algorithm from the paper

## When to choose
- you want a working Unity implementation of the Physarum slime mold algorithm
- you are learning agent-based simulations or emergent systems
- you want to follow along with Seb Lague's video tutorial

## When to avoid
- you need a production-ready or extensible simulation framework
- you do not use Unity or C#
- you need a general-purpose agent-based modeling toolkit

## Facets
- artifact type: application
- maturity: maintenance
- function: simulation, graphics
- domain: simulation, graphics
- platform: cross-platform, game-engine
- tags: unity, agent-based-simulation, physarum, emergent-behavior, gpu-computing, educational, game-development

## Member repositories
- SebLague/Slime-Simulation (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:56.645147+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 2026-08-30T04:32:05.477366+00:00, confidence not recorded.
  - readme: https://github.com/SebLague/Slime-Simulation (fetched 2026-08-28T04:04:56.645147+00:00, sha d7de2f49981b)
  - homepage: https://www.youtube.com/watch?v=X-iSQQgOd1A (fetched 2026-08-29T11:35:23.541350+00:00, sha 44136fa355b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.