Released a structural-field morphogenesis simulator (sfd-engine, Python + JS)

What My Project Does: sfd-engine is a Python-friendly project for generating and visualizing emergent 2D patterns using: - iterative field deformation - simple Laplacian smoothing - energy-driven structure formation - attractor-like stabilization dynamics It produces clustered, island-like, or branching morphologies from minimal rules and includes a browser UI for inspecting each step of the evolution. Target audience: This project is intended for: - students exploring dynamical / spatial pattern formation - researchers needing a lightweight morphogenesis sandbox - hobbyists experimenting with synthetic “life-like” fields - anyone who wants a small, readable implementation for emergent structure without a heavy framework It’s not meant as a full scientific solver. It’s an environment for rapid experimentation and visual intuition-building. Comparison: Compared to more established tools (RD solvers, CA frameworks, PDE libraries), sfd-engine offers: - a single unified update rule rather than multiple coupled equations - immediate visual feedback through the included viewer - no dependency bloat - a small, modifiable codebase suitable for learning and prototyping - clear separation between simulation logic and visualization Repo: https://github.com/rjsabouhi/sfd-engine