Open Source Python Simulation Software for Linux

Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). GPU-accelerated, high-fidelity physics and sensor simulation suitable for complex learning tasks. Offers a variety of robotic environment simulations on both Linux and Windows.

NVIDIA Isaac Sim is a high-fidelity robotics simulation platform built on NVIDIA Omniverse to develop, test, and validate AI-driven robots in physically accurate virtual environments. It supports a wide array of robotics formats (URDF, MJCF, CAD), includes GPU-accelerated physics, and features immersive RTX rendering and multisensory simulation. Realistic physics via GPU-accelerated engines and RTX ray tracing. Multi-sensor simulation (RGB-D cameras, Lidar, Radar, IMU, contact sensors). Extensible via platform APIs and can integrate into custom USD-based simulators.

Roboschool is a set of open source robot simulation environments for reinforcement learning, created as an alternative to the Mujoco physics engine. It integrates with OpenAI Gym and provides a variety of continuous control tasks, including humanoid locomotion, quadrupeds, and robotic arms. The library is built on the Bullet Physics engine, making it accessible without the licensing requirements of Mujoco. Roboschool includes training scripts and examples for applying reinforcement learning algorithms to its environments. While the project has since been deprecated in favor of more modern frameworks, it remains historically significant as a bridge between early reinforcement learning research and scalable, open-access environments. Its goal was to make reproducible robot learning experiments available to a wider audience without restrictive dependencies .

This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...

ARS is a physically-accurate robotics simulator written in Python. It's main purpose is to help researchers with to develop mobile manipulators and, in general, any multi-body system. It is open-source, modular, easy to learn and use, and can be a valuable tool in the process of robot design, in the development of control and reasoning algorithms, as well as in teaching and educational activities.

PySimiam is a robot simulator, created to follow the course "Control of Mobile Robots" offered at Coursera. The simulator models an arbitrary number of mobile robots in a 2D environment, each controlled by a arbitrary algorithm.

Moved to https://github.com/rdiankov/openrave An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.

pydaqtools provides a common interface to data-acquisition hardware for Python. Control analog/digital output or acquire analog/digital input for immediate analysis with Python for scientific, educational or engineering applications.

MBDyn_sim_suite is a collection of free pre&post-processing tools and simulation models for the open-source multi-body analysis software MBDyn forming a general purpose simulation environment for structural dynamics with an emphasis on wind turbines.

PyMbs has moved to Bitbucket: https://bitbucket.org/pymbs/pymbs PyMbs is a Python library for modelling holonomic multibody systems. It is able to generate simulation code for Python, Modelica and Matlab.

sfunctioner is a GUI wizard written in PyQt for creating Matlab Simulink sfunctions quickly and efficiently. It helps creating a fully functional sfunction within a few minutes.

An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.

The Massive G Engine is a simple yet feature-rich extensible 3D simulation engine for Robotics Research and gaming.

Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.

Simulator for large neuronal networks using leaky INF as its basic element. Simple few line scripts will enable rapid creation of large networks with different connectivities. Aimed at researchers interested in quickly testing large networks of neurons.

This project simulates a multi-agent system (swarm) behavior both graphically and not. The purpose of this project is to research the properties suggested in "stability analysis of swarms" V.Gazi & K.M.Passino. Using the vpython library for 3D modeling

A virtual scanner that converts 3D models (in Wavefront .obj format) into pointcloud files (in PCL .pcd format). Useful for simulating robotic input. NOTE: This project has been merged into the project at https://github.com/canderegg/cfg_obj

A 2D robotic simulation built on top of the Box2D physics engine. The goal is to make the code ridiculously easy to understand and extend.

A 3D robots simulator written in python. Uses ODE physics and OpenGL/Inventor graphics. A differential wheels robot is provided. There is no user interface but the code is small and is intended to be easily extended for your simulations.

The rp6simul project brings simulation software for the RP6 robot that is manufactured by AREXX engineering. Besides support for all peripherals on the robot base, the simulator also fully supports the m32 extension module, and both can be simulated either independently or simultaneously. Furthermore, a simple 2d environment can easily be created to test lighting, collision, motor speeds and so on. The simulator does not run native AVR files, but instead a thin wrapper is provided so that the AVR code can be compiled natively. Thanks to this wrapper, and a flexible Lua driver interface, the simulator emulates most of the IO registers, requiring no or minimal code modifications. rp6simul is primarily developed on Linux, but a Windows version will also be released.