Reverse Dependencies of libroadrunner

The following projects have a declared dependency on libroadrunner:

• apricopt — A library for simulation-based parameter optimization
• biosimulators-masspy — BioSimulators-compliant command-line interface to the MassPY simulation program <https://masspy.readthedocs.io/>.
• biosimulators-tellurium — BioSimulators-compliant command-line interface to the Tellurium/roadrunner simulator <https://tellurium.readthedocs.io/>.
• biosimulators-utils — description
• crnt4sbml — CRNT4SBML is an easily installable Python based package available on MacOS and Windows. CRNT4SBML is concentrated on providing a simple workflow for the testing of core CRNT methods directed at detecting bistability in cell signaling pathways endowed with mass action kinetics.
• libroadrunner-tr — SBML Test Suite Runner for libRoadRunner
• masspy — MASSpy is a package for dynamic modeling of biological processes.
• netplotlib — netplotlib: A simple package for visualizing reaction network models
• plotGeneratorPL — A package for processing and plotting images
• pybnf — An application for parallel fitting of BioNetGen and SBML models using metaheuristics
• pybnf1.2.1 — An application for parallel fitting of BioNetGen and SBML models using metaheuristics
• pybnfalabuda — An application for parallel fitting of BioNetGen and SBML models using metaheuristics
• pypesto — python-based Parameter EStimation TOolbox
• roadrunnerloopdetect — Find the loops presented in the Jacobin matrix of Roadrunner using LoopDetect
• rrplugins — Plugins for libroadrunner
• sbmlloopdetect — Find the loops presented in the Jacobin matrix of Roadrunner using LoopDetect
• sbmlsim — sbmlsim are utilities for simulation of SBML.
• sbmlutils — sbmlutils are utilities for working with SBML.
• sbvar — Varying parameter analysis for SBML models
• sterope — Sterope: Sensitivity analysis of kappa Rule-Based Models based on Dynamic Influence Networks
• tellurium — Tellurium: An biological modeling environment for Python
• yggdrasil-framework — A framework for combining interdependent models from multiple languages.