ProSimPlus Python API enables users to run the engine of ProSimPlus, a leading software dedicated to the design, simulation, and optimization of continuous industrial processes, directly from the Python environment. The product is a first in the field of process simulation, marking a major step forward by removing the limitations of graphical user interfaces. Python has become one of the leading programming languages in data analysis, process optimization, artificial intelligence, and, more broadly, in scientific and technical workflows. ProSimPlus Python API addresses the growing needs of process engineers, industrial data scientists and R&D teams who want to automate their analyses, expand their sensitivity studies, and integrate simulation into their internal tools. The architecture of ProSimPlus Python API removes the constraints of interactive use while preserving the full capabilities of the calculation engine. The API goes beyond simply running preconfigured cases: users can generate, execute, and leverage their simulations in a fully automated, faster way, without manual intervention, the company says. Unlike traditional approaches, ProSimPlus Python API provides fine control over computations and integrates naturally into data science, optimization and digital-twin development workflows, they add. The solution has been designed to meet high-performance computing needs, enabling the automated execution of a large number of scenarios and significantly reducing study times for complex cases by several hours per analysis. These computations can also be coupled with optimization algorithms or machine learning models. This approach allows teams to move from occasional use of simulation to continuous integration within their decision-making processes. — Fives ProSim, Labège, France
