FMI-compliant Model Estimation in Python

FMU Manipulation Toolbox is a python library and applications which modify or create Functional Mock-up Units (FMU) without recompilation. It mainly modifies the modelDescription.xml file. It is highly customizable.

Benchmarking building automation and control systems

ERT webviz plugins

FMU data standard and data export with rich metadata in the FMU context

This is a set of environments that support FMU based deep reinforcement learning (DRL) environment.

AI4DI - Artificial Intelligence of Digitising Industry: This project builds a docker environment with a running server to trigger a simulation, based on an FMU model. The FMU model can be controlled by a client using a implemented REST API on the server (docker).

Functional Mock-up Units in the Loop (FMUiL) is an open-source package for simulating FMU models and hardware with OPC-UA communication

A visual simulation of a dynamic terrarium environment with interactive creatures and ambient effects, built using Python and FMU models.

Extract triples about Functional Mock-up Units (FMUs) in Resource Description Framework (RDF)

Upload files from reservoir simulators to azure assisted by sumo

FMI2/3 modelDescription.xml parser

An app to allow users to simply upload an FMU and run a simulation of it, show results in a graph and download them in a file.

Interaction with Sumo in the FMU context

Thin python wrapper to interact with Sumo API

A learning FMU that learns from a thermostat using Maestro's FMU SWAP on the INTO-CPS's incubator case study

Upload to Sumo in the FMU context