syssimx 0.1.5

A Python framework for heterogeneous system co-simulation (Modelica FMUs, OpenSim, FEM).

SysSimX

SysSimX is a free and open-source Python library for system simulation. It allows you to build hybrid and heterogenous system models by connecting system component models from different environments, including:

• FMU Components - Functional Mock-up Units (FMI 2.0 Co-Simulation)
• OpenSim Components - Musculoskeletal biomechanics models using OpenSim
• FEM Components - Finite Element Models using NGSolve
• Custom Python Components - User-defined models implemented directly in Python

The library comes with a user documentation site that includes installation instructions, core concepts, API references, and tutorials covering fundamental techniques, tool integrations, and a case study.

Key Features

• Graph-Based Execution: Automatic dependency analysis with direct feedthrough and algebraic loop detection. Components are executed in topologically sorted order.

• Algebraic Loop Handling: Detection and iterative solving using the Interface Jacobian-based Co-Simulation Algorithm (IJCSA).

• Hybrid Co-Simulation: Event detection via zero-crossing indicators with bisection-based time localization and superdense time semantics.

• Multiple Master Algorithms: Choose from Jacobi (parallel), Gauss-Seidel (sequential), or Hybrid (event-driven) algorithms.

• Multi-Tool Integration: Seamlessly connect FMUs, OpenSim models, and NGSolve FEM models in a single system.

• Multi-Model Switching: Dynamically switch between multiple models of the same component during simulation.

• Unit-Aware Connections: Automatic unit conversion between ports using Pint.

• Extensible Component API: Base class for custom components with lifecycle methods for initialization, stepping, and output updates.

Installation

The syssimx package is available on PyPI. You can install it using pip. Optional extras are available for FMU, OpenSim, and FEM support.

Basic install

pip install syssimx

Optional extras

pip install "syssimx[fmu]"
pip install "syssimx[fem]"
pip install "syssimx[dev]"
pip install "syssimx[all]"
pip install "syssimx[full]"

OpenSim note (important)

OpenSim is conda-only and ABI-coupled to specific NumPy/SciPy builds. Recommended order:

1. Install syssimx with pip.
2. Install OpenSim with conda using ABI-compatible NumPy/SciPy pins.

See the full installation guide:

• docs/01_getting_started/01_installation.ipynb

Quickstart Example

The example below creates a simple linear source feeding an integrator.

import matplotlib.pyplot as plt

from syssimx import CoSimComponent, Connection, System
from syssimx.core import PortSpec, PortType


class LinearSource(CoSimComponent):
    def __init__(self, name: str, a: float = 1.0, b: float = 0.0):
        super().__init__(name, group="Source")
        self.a = a
        self.b = b
        self.output_specs.update({
            "y": PortSpec(name="y", type=PortType.REAL, direction="out")
        })

    def _initialize_component(self, t0: float) -> None:
        pass

    def _do_step_internal(self, t: float, dt: float) -> None:
        pass

    def _update_output_states(self, t: float | None = None, event_names=None):
        t_now = 0.0 if t is None else t
        self.outputs["y"].set(self.a * t_now + self.b, t)


class Integrator(CoSimComponent):
    def __init__(self, name: str, x0: float = 0.0):
        super().__init__(name, group="Integrator")
        self.x0 = x0
        self.input_specs.update({
            "u": PortSpec(name="u", type=PortType.REAL, direction="in")
        })
        self.output_specs.update({
            "y": PortSpec(name="y", type=PortType.REAL, direction="out")
        })

    def _initialize_component(self, t0: float) -> None:
        self.x = self.x0
        self.outputs["y"].set(self.x, t0)

    def _do_step_internal(self, t: float, dt: float) -> None:
        u = self.inputs["u"].get()
        self.x = self.x + dt * float(u)

    def _update_output_states(self, t: float | None = None, event_names=None):
        self.outputs["y"].set(self.x, t)


source = LinearSource(name="LinearSource", a=1.0, b=0.0)
integrator = Integrator(name="Integrator", x0=0.0)

system = System(name="QuickstartSystem")
system.add_component(source)
system.add_component(integrator)
system.add_connection(Connection(
    src_comp="LinearSource", src_port="y",
    dst_comp="Integrator", dst_port="u",
))

system.initialize(t0=0.0)
system.run(t0=0.0, tf=5.0, dt=0.1)

history = system.get_history()
t_vals, data = history["Integrator"]
y_vals = data["y"]

plt.plot(t_vals, y_vals)
plt.xlabel("Time (s)")
plt.ylabel("Integrator output")
plt.title("SysSimX Quickstart")
plt.grid(True)
plt.show()

For the complete walkthrough, see:

• docs/01_getting_started/02_quickstart.ipynb

Documentation

• Documentation entry: docs/index.rst
• Installation guide: docs/01_getting_started/01_installation.ipynb
• Core concepts: docs/01_getting_started/03_concepts.ipynb
• Quickstart tutorial: docs/01_getting_started/02_quickstart.ipynb
• API docs: docs/02_api/
• Tutorials and case studies:
  • docs/03_core_tutorials/
  • docs/04_tool_integration/
  • docs/05_case_study/

Project Status

SysSimX is under active development. APIs and behavior may evolve as algorithms and component integrations are extended.

License

• Project license: MIT (LICENSE)
• Third-party dependencies and attributions: THIRD_PARTY_LICENSES.MD