A standardized registry and execution platform for reproducible biosimulation models.
BioSimulators is a pivotal infrastructure for computational biology, designed to address the reproducibility crisis in life science modeling. It functions as a centralized registry of simulation tools, providing standardized interfaces for biological models across various frameworks, including ordinary differential equations (ODEs), stochastic processes, and flux balance analysis (FBA). By 2026, BioSimulators has become the industry standard for the execution of COMBINE archives (OMEX), utilizing a containerized architecture that leverages Docker and Singularity. This architecture ensures that simulation results are invariant across different hardware and software environments. The platform integrates deeply with the BioSimulations platform for cloud-based execution and visualization, making complex computational experiments accessible to experimental biologists without requiring deep DevOps expertise. Technically, it relies on the BioSimulators-utils library to validate and standardize models against community standards like SBML, CellML, and SED-ML. Its market position is unique as it serves both as a repository for validated simulators and a verification layer for peer-reviewed research, bridging the gap between theoretical modeling and clinical application.
Encapsulates disparate simulation engines into standardized Docker containers with a uniform CLI.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Full support for COMBINE archives, packaging models, simulations, and metadata into one file.
Automatic execution of Simulation Experiment Description Markup Language for precise control of simulation tasks.
Built-in scripts to verify that models comply with SBML and CellML standards.
A database indexing specialized simulators for discrete, continuous, and spatial modeling.
A robust Python library (biosimulators-utils) for programmatic interaction with all simulators.
Integration with Vega for generating interactive plots directly from simulation outputs.
Predicting how a compound affects cardiac ion channels across different patient populations.
Registry Updated:2/7/2026
Optimizing yeast strains for higher ethanol yield through FBA.
Verifying the behavior of a new genetic toggle switch.