218 best open source simulation projects.

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Displaying 1 to 20 from 218 results

toxy - Hackable HTTP proxy for resiliency testing and simulated network conditions

Javascript

Hackable HTTP proxy to simulate server failure scenarios, resiliency and unexpected network conditions, built for node.js.It was mainly designed for failure resistance testing, when toxy becomes particularly useful in order to cover fault tolerance and resiliency capabilities of a system, especially in disruption-tolerant networks and service-oriented architectures, where toxy may act as MitM proxy among services in order to inject failure.

http-proxy proxy reactive failure simulation network resiliency failover testing retry http toxic fault tolerant resilient fuzz evil unexpected backoff latency jitter distributed soa

unknown-horizons - Unknown Horizons official code repository

Python

Unknown Horizons is a 2D real time strategy simulation with an emphasis on economy and city building. Expand your small settlement to a strong and wealthy colony, collect taxes and supply your inhabitants with valuable goods. Increase your power with a well balanced economy and with strategic trade and diplomacy. Find more information about Unknown Horizons on our website.

game strategy simulation

OpenRCT2 - An open source re-implementation of RollerCoaster Tycoon 2 🎢

An open-source re-implementation of RollerCoaster Tycoon 2. A construction and management simulation video game that simulates amusement park management. You only need a GitHub or Twitter account to access these channels.

c-plus-plus game openrct2 cmake roller-coaster xcode visual-studio gitter roller-coaster-tycoon msbuild multiplayer server sdl2 opengl simulation

Bullet Physics SDK - Real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

simulation robotics kinematics virtual-reality reinforcement-learning computer-animation game-development

citybound - A work-in-progress, open-source, multi-player city simulation game.

Rust

Citybound is an independently developed city building game, open source and funded through Patreon. This repository contains the code of Citybound, and also a detailed Design Doc, describing the philosophy and decisions taken for design and implementation. It is interwoven with the code - to make clear, which parts of the game are implemented where. Just follow the link below to get started.

city simulation game actor-model

webots - Webots Robot Simulator

Webots is an open-source robot simulator released under the terms of the Apache 2.0 license. It provides a complete development environment to model, program and simulate robots, vehicles and biomechanical systems. You can download pre-compiled binaries for Windows, macOS and Linux of the latest release, as well as older releases and nightly builds.

open-source multi-platform simulator robot ai computer-vision robotics simulation physics-engine ros robots autonomous-vehicles fluid-dynamics 3d-engine robot-simulator webots robotics-simulation simulated-robots

SUMO - Simulation of Urban Mobility

"Simulation of Urban MObility" (SUMO) is an open source, highly portable, microscopic traffic simulation package designed to handle large road networks and different modes of transport. It is mainly developed by employees of the Institute of Transportation Systems at the German Aerospace Center. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

traffic simulation transport traffic-simulation vehicle traffic-light-control

NS 3 - Network Simulator

Ns is a discrete event simulator targeted at networking research. Ns provides substantial support for simulation of TCP, routing, and multicast protocols over wired and wireless (local and satellite) networks.

simulation network-simulation network-emulator

DifferentialEquations.jl - Julia suite for high-performance solvers of differential equations

Julia

The well-optimized DifferentialEquations solvers benchmark as the some of the fastest implementations, using classic algorithms and ones from recent research which routinely outperform the "standard" C/Fortran methods, and include algorithms optimized for high-precision and HPC applications. At the same time, it wraps the classic C/Fortran methods, making it easy to switch over to them whenever necessary. It integrates with the Julia package sphere, for example using Juno's progress meter, automatic plotting, built-in interpolations, and wraps other differential equation solvers so that many different methods for solving the equations can be accessed by simply switching a keyword argument. It utilizes Julia's generality to be able to solve problems specified with arbitrary number types (types with units like Unitful, and arbitrary precision numbers like BigFloats and ArbFloats), arbitrary sized arrays (ODEs on matrices), and more. This gives a powerful mixture of speed and productivity features to help you solve and analyze your differential equations faster. For information on using the package, see the stable documentation. Use the latest documentation for the version of the documentation which contains the un-released features.

differential-equations differentialequations julia ode sde pde dae stochastic dde spde delay monte-carlo-simulation stochastic-processes stochastic-differential-equations delay-differential-equations partial-differential-equations differential-algebraic-equations simulation numerical-integration dynamical-systems

metta - An information security preparedness tool to do adversarial simulation.

Python

Metta is an information security preparedness tool. This project uses Redis/Celery, python, and vagrant with virtualbox to do adversarial simulation. This allows you to test (mostly) your host based instrumentation but may also allow you to test any network based detection and controls depending on how you set up your vagrants.

uber vagrant yaml celery redis virtualbox infosec security network networking adversarial simulation

firmadyne - System for emulation and dynamic analysis of Linux-based firmware

Shell

We have also written the following three basic automated analyses using the FIRMADYNE system. In our 2016 Network and Distributed System Security Symposium (NDSS) paper, titled Towards Automated Dynamic Analysis for Linux-based Embedded Firmware, we evaluated the FIRMADYNE system over a dataset of 23,035 firmware images, of which we were able to extract 9,486. Using 60 exploits from the Metasploit Framework, and 14 previously-unknown vulnerabilities that we discovered, we showed that 846 out of 1,971 (43%) firmware images were vulnerable to at least one exploit, which we estimate to affect 89+ different products. For more details, refer to our paper linked above.

firmware simulation emulation

gazebo - Open source robotics simulator.

This is the Gazebo simulator. Gazebo simulates multiple robots in a 3D environment, with extensive dynamic interaction between objects. BUILD_TESTING (bool) [default False] Include the test suite compilation in the default make call (make all).

gui simulator robotics simulation rendering physics simulation-environment gazebo robotics-competition hacktoberfest robot-simulator robotics-simulation gazebo-simulator robot-simulation

deepdrive - Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Python

Note that we recorded the baseline dataset in sync mode which is much slower than async mode. Async mode probably is fine to record in, we just haven't got around to trying it out for v3.

competition control reinforcement-learning deep-learning simulation tensorflow deep-reinforcement-learning vision gym self-driving-car unreal-engine transfer-learning sensorimotor

recsim - A Configurable Recommender Systems Simulation Platform

Python

RecSim is a configurable platform for authoring simulation environments for recommender systems (RSs) that naturally supports sequential interaction with users. RecSim allows the creation of new environments that reflect particular aspects of user behavior and item structure at a level of abstraction well-suited to pushing the limits of current reinforcement learning (RL) and RS techniques in sequential interactive recommendation problems. Environments can be easily configured that vary assumptions about: user preferences and item familiarity; user latent state and its dynamics; and choice models and other user response behavior. We outline how RecSim offers value to RL and RS researchers and practitioners, and how it can serve as a vehicle for academic-industrial collaboration. For a detailed description of the RecSim architecture please read Ie et al. Please cite the paper if you use the code from this repository in your work. This is not an officially supported Google product.

machine-learning google reinforcement-learning simulation tensorflow artificial-intelligence recommender-system

OpenLB - Library for Lattice Boltzmann Simulations

OpenLB is a C++ library for the implementation of lattice Boltzmann simulations which addresses a vast range of problems in computational fluid dynamics. The package is mainly intended as a programming support for researchers and engineers who simulate fluid flows by means of a lattice Boltzmann method.

fluid flow simulation cfd lbm

Synthea - Synthetic Patient Population Simulator

Java

Synthea is a Synthetic Patient Population Simulator. The goal is to output synthetic, realistic (but not real), patient data and associated health records in a variety of formats.

synthea synthetic-data synthetic-population fhir health-data simulation data-simulation

precice - A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations

preCICE stands for Precise Code Interaction Coupling Environment. Its main component is a library that can be used by simulation programs to be coupled together in a partitioned way, enabling multi-physics simulations, such as fluid-structure interaction. If you are new to preCICE, please have a look at our documentation and at precice.org. You may also prefer to get and install a binary package for the latest release (master branch).

cpp simulation cpp11 high-performance-computing openfoam multiphysics coupling fluent fenics research-and-development calculix multi-physics fluid-structure-interaction computer-aided-engineering code-aster conjugate-heat-transfer co-simulation eigen3 su2 precice

matsim-libs - Multi-Agent Transport Simulation

Java

MATSim provides a toolbox to run and implement large-scale agent-based transport simulations. The toolbox consists of several modules which can be combined or used stand-alone. Modules can be replaced by own implementations to test single aspects of your own work. Currently, MATSim offers a toolbox for demand-modeling, agent-based mobility-simulation (traffic flow simulation), re-planning, a controller to iteratively run simulations as well as methods to analyze the output generated by the modules. All list of available extensions can be found in the contribs folder.

simulation agent-based transportation-planning agent-based-simulation agent-based-model matsim

uuv_simulator - Gazebo/ROS packages for underwater robotics simulation

Python

The Unmanned Underwater Vehicle Simulator is a set of packages that include plugins and ROS applications that allow simulation of underwater vehicles in Gazebo. In you are willing to contribute to this package, please check the instructions in CONTRIBUTING.

simulation ros gazebo rov auv underwater robotics-simulation swarms-project uuv

hexapod - Blazing fast hexapod robot simulator for the web.

Javascript

You can use this web app to solve inverse kinematics, simulate various gaits, and more. In real time, you can also view all the angles the robot's eighteen joints make at any particular pose. All the computations are solely done in your browser, nothing's fetching data from somewhere else, so it should be fast. Another (somewhat) cool thing is that this app does NOT depend on any external mathematics library; it only uses Javascript's built-in Math object. If you'd like to build you're own user interface with Node, you can download the algorithm alone as a package: Hexapod Kinematics Library. There is also a "fork" modified where you can use the app to control a physical hexapod robot as you can see in the gif below.