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Siconos

Simulation framework for nonsmooth dynamical systems

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About Siconos

Siconos is an MCP server published by siconos in the Developer Tools category: simulation framework for nonsmooth dynamical systems. It has been installed 0 times through Conduid.

The repository has 182 stars and 35 forks, with the last commit 11 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx siconos

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Releases

2026.rc12026.rc1 · 11 Mar 2026Siconos 2026.rc1 Release Notes Release Date:** February 2026 Previous Release:** 4.5.0 Commits:** 1193+ changes across the entire codebase Overview Siconos 2026.rc1 is a major release featuring a **brand new vKernel architecture** for…
4.5.04.5.0 · 3 Apr 2024Main changes: [numerics] implementation of IPM solver for gfc3d and fc3d with convex relaxation [numerics] optimisation of fc2s_nsgs [kernel] implementation of the reduced direct assembly [kernel,machanics] simplify 2d and 3d contact…
4.4.04.4.0 (stable) · 8 Sep 2021Main changes: Main changes: [numerics] add sparse linear solver with a sparse rhs based on csparse [numerics] new implementation of NM_LU_solve and NM_Cholesky_solve [kernel] new implementation of linear solvers in SimpleMatrix The class…
4.4.0.rc44.4.0.rc4 · 25 Aug 2021
4.4.0.rc34.4.0.rc3 · 5 May 2021

README

Siconos

Pipeline Status Version License

A software package for the modeling and simulation of nonsmooth dynamical systems in C++ and Python.

📚 Examples and Tutorials: Most examples and tutorials are in the separate siconos-tutorials repository. Please ensure you use consistent versions of siconos and siconos-tutorials (e.g., both main branch or both same release version).

Homepage | Documentation | Tutorials | GitLab


What is Siconos?

Siconos is an open-source scientific software package designed for modeling and simulating nonsmooth dynamical systems - systems where the dynamics are not continuous due to phenomena like impacts, friction, switches, or constraints.

Key Application Areas

Domain Examples
Mechanical Systems Rigid body dynamics with contact and friction, multibody systems, granular materials
Electrical Circuits Power converters, rectifiers, PLLs, ADCs with ideal components
Control Systems Sliding mode control, hybrid systems
Biology Gene regulatory networks
Optimization Complementarity systems, variational inequalities

Quick Start

Option 1: Try Online (No Installation)

Run Siconos directly in your browser via Binder:

Binder

Best for: Testing the software, tutorials, lightweight demos

Option 2: Docker (Recommended for Development)

Prerequisite: Docker

# Jupyter Lab with Siconos and tutorials
docker run --rm -p 8888:8888 -ti \
  gricad-registry.univ-grenoble-alpes.fr/nonsmooth/siconos-tutorials/siconoslab-main:latest

# Or command-line only
docker run --rm --entrypoint /bin/bash -ti \
  gricad-registry.univ-grenoble-alpes.fr/nonsmooth/siconos-tutorials/siconoslab-main:latest

Option 3: Build from Source

# Clone the repository
git clone https://github.com/siconos/siconos.git
cd siconos

# Configure and build
cmake -S . -B build -DUSER_OPTIONS_FILE=config_samples/default.cmake
cmake --build build -j$(nproc)

# Run tests (optional)
ctest --test-dir build

# Install
cmake --install build

📖 Detailed installation guide


Main Components

Each component can be used from C/C++ or Python.

siconos/numerics (C)

Low-level numerical algorithms for solving optimization problems:

  • Complementarity problems: LCP, MLCP, NCP
  • Friction-contact problems: 2D/3D with Coulomb friction, rolling friction
  • Variational inequalities: AVI, VI
  • Second-order cone programming (SOCP)
  • Relay problems

📖 Numerics documentation

siconos/kernel (C++)

Core library for modeling and simulation:

  • Dynamical systems: Lagrangian, Newton-Euler, first-order formulations
  • Numerical integration: Event-driven and time-stepping schemes
  • Nonsmooth laws: Impact, friction, complementarity, relay

siconos/mechanics (C++)

Mechanical simulation with contact detection:

siconos/control (C++)

Control systems with sliding mode control and implicit discretization.

siconos/io (C++)

Serialization and visualization:

  • HDF5 import/export
  • VTK visualization

Examples by Domain

The siconos-tutorials repository contains comprehensive examples for each application area:

Domain Example Topics Link
Mechanics Bouncing ball, slider-crank, gear transmission, robotics, granular materials Mechanics Tutorials
Electronics Power converters, rectifiers, PLLs, circuit simulation Electronics Tutorials
Control Sliding mode control, state observers, hybrid systems Control Tutorials
Numerics LCP solvers, friction contact, optimization problems Numerics Tutorials

📁 Browse all examples: siconos-tutorials repository


Example: Bouncing Ball

import siconos.modeling as sm
import siconos.simulation as ss
import numpy as np

# Parameters
t0, T, h = 0, 10, 0.005    # Time settings
r, g, m = 0.1, 9.81, 1      # Ball properties
e = 0.9                     # Restitution coefficient

# Create dynamical system (ball)
position = [1, 0, 0]
velocity = [0, 0, 0]
mass = np.eye(3) * m
mass[2, 2] = 2./5 * r * r

ball = sm.LagrangianLinearTIDS(position, velocity, mass)
ball.set_constant_fext(np.array([-m * g, 0, 0]))

# Interaction with floor
nslaw = sm.NewtonImpactNSL(e)
relation = sm.LagrangianLinearTIR(np.array([[1, 0, 0]]))
interaction = sm.Interaction(nslaw, relation)

# Model
model = sm.NonSmoothDynamicalSystem(t0, T)
model.insert_dynamical_system(ball)
model.link(interaction, ball)

# Simulation
osi = ss.MoreauJeanOSI(0.5)
td = ss.TimeDiscretisation(t0, h)
osnspb = ss.LCP()
sim = ss.TimeStepping(model, td, osi, osnspb)

# Run simulation
while sim.has_next_event():
    sim.compute_one_step()
    sim.next_step()

Documentation & Resources

Resource Link
User Guide https://nonsmooth.gricad-pages.univ-grenoble-alpes.fr/siconos
Tutorials https://nonsmooth.gricad-pages.univ-grenoble-alpes.fr/siconos-tutorials
API Reference (Doxygen) https://nonsmooth.gricad-pages.univ-grenoble-alpes.fr/siconos/doxygen
Bug Reports GitHub Issues

Citation

If you use Siconos in your research, please cite:

@software{siconos,
  title = {Siconos: A Software Package for Modeling and Simulation of Nonsmooth Dynamical Systems},
  author = {{Siconos Team}},
  url = {http://siconos.org},
  year = {2024}
}

License

Siconos is distributed under the Apache License, Version 2.0.


Maintained by: The Siconos Development Team
Contact: GitHub Issues

README mirrored from the source repository 4 days ago. The original is authoritative.

Questions

About Siconos

How do I install Siconos?

Run npx siconos, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Siconos safe to use with an AI agent?

Its trust score is 72 out of 100 (good). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Siconos still maintained?

The last commit was 11 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.