Graph Analysis

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

Beads Viewer (bv) is a sophisticated terminal UI application for exploring and analyzing issues tracked in the Beads issue tracking system. It provides graph theory-based insights like PageRank and critical path analysis, and includes robot mode flags specifically designed for AI coding agent integration.