NetworkX + NumPy: Optional dependency impact on dense graph performance
Goal Assess how NetworkX’s optional NumPy dependency affects reproducibility and performance in dense‑graph workloads. Context NetworkX advertises NumPy and SciPy as optional accelerators. When NumPy is absent, functions such as adjacency_matrix fall back to Python lists, altering memory usage and execution time. This dual path can mask performance regressio
networkx