Spatial Layout Visualization

via “graph-layout-and-visualization-preparation”

Python package for creating and manipulating graphs and networks

Unique: Implements multiple layout algorithms (spring, spectral, circular, shell) with unified coordinate output format compatible with standard visualization libraries. Spring layout uses Fruchterman-Reingold physics simulation with tunable parameters for layout quality vs. computation time.

vs others: More accessible than Graphviz for Python users; faster than force-directed layout in D3.js for offline computation; less feature-rich than specialized graph visualization libraries (Gephi, Cytoscape) but sufficient for exploratory analysis