SBMLNetwork: A framework for standards-based visualization of biochemical models
Fig 2
Performance Benchmark: SBMLNetwork vs. SBMLDiagrams Auto-layout.
Log–log plot of median wall-clock time for SBMLNetwork’s C++-based auto-layout engine (blue circles, solid fit) and SBMLDiagrams’ implementation of the pure-Python NetworkX spring_layout algorithm (red squares, dashed fit), applied to synthetic SBML models containing 20–2,000 species, with a fixed 4:1 species-to-reaction ratio. Each point represents the median of 10 runs (error bars are smaller than the markers). SBMLNetwork achieves a ∼240× speed-up for the smallest model and maintains a ∼18× advantage at the model with 2,000 species.