Language-agnostic simulation model management platform

Simulation models are expensive to design and run. Commercial modeling software made for specific industries are costly and do not allow for compatibility across languages. Free and open source languages allow for more control in model creation. However, models written using these languages require more time to develop and interpret. We present a platform compatible with open source languages that runs models in Monte Carlo and Design of Experiments sampling with the ability to randomly distribute inputs and interpret outputs. Supported languages include Java, Python, and R. The platform utilizes a parameter input configuration syntax which defines how model inputs are distributed, allowing for both deterministic and stochastic model creation. Models outputs are then interpreted by the platform using built-in customizable tools.