A curated list of Functional Mock-up Interface (FMI) libraries, tools and resources.

FMI.jl is a free-to-use software library for the Julia programming language which integrates FMI (fmi-standard.org): load or create, parameterize, differentiate and simulate FMUs seamlessly inside the Julia programming language!

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Tool that allows Functional Mock-up Units (FMUs) to be accessed through language independent RPC calls by wrapping the original FMU into a new one with network capabilities.

FMI-compliant Model Estimation in Python

RaPId (a recursive acronym for "Rapid Parameter Identification") utilizes different optimization and simulation technologies to provide a framework for model validation and calibration of any kind of dynamical systems, but specifically catered to power systems.

FMI4j is a software package for dealing with Functional Mockup Units (FMUs) on the JVM

Tool to compare curves from one csv files with curves from other csv files using an adjustable tolerance

FMIExport.jl is a free-to-use software library for the Julia programming language which allows for the export of FMUs (fmi-standard.org) from any Julia-Code. FMIExport.jl is completely integrated into FMI.jl.

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.

Simulator for FMUs in Julia (WIP)

Build FMUs using modern C++

Simplified C-Interface for fmi2 models. Includes .net wrapper.

FMIImport.jl implements the import functionalities of the FMI-standard (fmi-standard.org) for the Julia programming language. FMIImport.jl provides the foundation for the Julia packages FMI.jl and FMIFlux.jl.

Benchmarking building automation and control systems

FMICore.jl implements the low-level equivalents of the C-functions and C-data types of the FMI-standard (fmi-standard.org) for the Julia programming language.

ERT webviz plugins

Generate standard form system FMUs through CLI.

Set of utilities to export/import FMUs out of existing C++ code

Testdata for use with webviz-subsurface

FMIBuild.jl holds dependencies that are required to compile and zip a Functional Mock-Up Unit (FMU) compliant to the FMI-standard (fmi-standard.org). Because this dependencies should not be part of the compiled FMU, they are out-sourced into this package. FMIBuild.jl provides the build-commands for the Julia package FMIExport.jl.

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

Single header C++17 wrapper for FMILibrary

FMIZoo.jl is a collection of testing and example FMUs (fmi-standard.org) for the Julia libraries FMI.jl and FMIFlux.jl.

Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable w.r.t. states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event

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

Web components for Bodylight technology - to support in-browser simulators capable to execute models via standard FMI api, visualise using common chart libraries (chartjs, plotly, dygraph) and Adobe Animate components (exported as createjs components).

No description provided.

A collection of FMU sensor models and NMEA sender written in C++

Photorealistic Dynamic Simulation Materials for System Dynamics