Search Results for "physics"
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Showing 2324 open source projects for "physics"
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Jolt Physics
A multi core friendly rigid body physics and collision detection lib
A multi core friendly rigid body physics and collision detection library suitable for games and VR applications, used by Horizon Forbidden West. So why create yet another physics engine? First of all, this has been a personal learning project and secondly I wanted to address some issues that I had with existing physics engines. In games we usually need to do many more things than to simulate the physics world and we need to do this across multiple threads. ... -
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Get Physics Done (GPD)
The first open-source agentic AI physicist
Get Physics Done (GPD) is an open-source project designed to accelerate scientific research in physics by leveraging modern computational tools and automation techniques. It aims to simplify the process of performing simulations, calculations, and experimental analysis by providing structured workflows that integrate computational physics methods with reproducible research practices. -
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MuJoCo
Multi-Joint dynamics with Contact. A general purpose physics simulator
MuJoCo, developed and maintained by Google DeepMind, is a high-performance physics engine designed for simulating complex, articulated systems that interact through contact. It is widely used in research fields such as robotics, biomechanics, computer graphics, animation, and machine learning, where fast and accurate physics simulations are essential. The engine provides a robust C API optimized for real-time computation, making it suitable for scientific research and advanced simulation environments. ... -
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Matter.js
A 2D rigid body physics engine for the web
Matter.js is a flexible 2D rigid body physics engine written in JavaScript, designed for use in web applications to simulate real-world physical interactions within the browser. It offers a comprehensive set of physics features like gravity, collisions, restitution (bounces), friction, sleeping bodies, and constraint systems that enable developers to build interacting objects with realistic motion. -
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Pymunk
Pymunk is a easy-to-use pythonic 2d physics library
Pymunk is an easy-to-use Pythonic 2D physics library that can be used whenever you need 2D rigid body physics from Python. Perfect when you need 2D physics in your game, demo or simulation! It is built on top of the very capable 2D physics library Chipmunk2D. The first version was released in 2007 and Pymunk is still actively developed and maintained today, more than 15 years of active development. -
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Phaser Box2D
A high-performance, industry-standard 2D physics engine built on Box2D
Phaser Box2D is a high-performance 2D physics engine built on Box2D v3, tailored for Phaser games. It delivers realistic physics simulations, enhancing the interactivity and engagement of web-based games. -
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Brax
Massively parallel rigidbody physics simulation
Brax is a fast and fully differentiable physics engine for large-scale rigid body simulations, built on JAX. It is designed for research in reinforcement learning and robotics, enabling efficient simulations and gradient-based optimization. -
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TikZ
TikZ figures for concepts in physics/chemistry/ML
Collection of 111 standalone TikZ figures for illustrating concepts in physics, chemistry, and machine learning. Check out janosh.github.io to search, sort, open in Overleaf, and download figures (PDF/SVG/PNG) from this collection. -
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Planck.js
2D JavaScript Physics Engine
Planck.js is a JavaScript rewrite/port of the physics engine Box2D, designed to provide 2D rigid-body physics simulation usable directly in web contexts or any JavaScript environment. By offering collision detection, rigid-body dynamics, joints, and simulation capabilities, Planck.js makes it possible for developers to build physically realistic 2D games, simulations, or visualizations in browsers or Node.js without relying on native code. -
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Cocos Engine
Cocos simplifies game creation and distribution with Cocos Creator
...The engine includes extensive tooling and example/demo projects to demonstrate 2D and 3D physics, animation, UI and rendering capabilities. -
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FEATool Multiphysics
Physics Simulation Made Easy" (Fully Integrated FEA, FEniCS
FEATool Multiphysics (short for Finite Element Analysis Toolbox), is a fully integrated simulation platform for modeling all types of coupled physics phenomena, continuum mechanics, and engineering problems. By providing a truly easy to use and integrated all-in-one simulation platform for multi-physics analysis, makes FEATool an ideal simulation and modeling tool for everyone from students learning mathematical modeling, to researchers and engineers wishing to explore new ideas in a no fuss, simple, and convenient way. -
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NVIDIA Isaac Sim
NVIDIA Isaac Sim is an open-source application on NVIDIA Omniverse
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. -
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Basics Of Physics
Basics Of Physics Book
Basics Of Physics (pdf Book). -
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Newton
An open-source, GPU-accelerated physics simulation engine
Newton is a high-performance, GPU-accelerated physics simulation engine designed primarily for robotics research, machine learning, and advanced simulation workflows. Built on top of NVIDIA Warp, it leverages GPU parallelism to deliver scalable and efficient simulation environments that support rapid iteration and experimentation. The engine extends previous simulation frameworks by introducing differentiable physics capabilities, allowing it to integrate seamlessly with machine learning models and optimization pipelines. ... -
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Smilei
Particle-in-cell code for plasma simulation
...It is designed for high-performance computing and can run on modern supercomputing architectures. The software is co-developed by physicists and computer scientists, which gives it both strong numerical physics capabilities and serious parallel-performance engineering. Smilei supports a wide range of plasma studies, including laser-plasma interaction, accelerator physics, space physics, and astrophysical plasmas. It uses a C++ core with Python-based input and post-processing workflows, making simulations both performant and configurable. ... -
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S&box
s&box is a modern game engine, built on Valve's Source 2
...Built on a cutting-edge game engine, s&box allows creators to prototype, build, and share interactive game modes, tools, and environments using C#, JavaScript, and visual scripting, promoting accessible content creation for developers of varying skill levels. The platform emphasizes multiplayer and community experiences, giving creators direct control over networking, physics, rendering, and audio without needing to build those systems from scratch. With real-time recompilation and fast iteration loops, developers can see changes instantly, speeding up the creative process dramatically compared to traditional engines. The sbox ecosystem fosters collaboration, sharing, and extension through packages and community content, enabling a vibrant marketplace of user-created mods and assets. -
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The Powder Toy
Sandbox video game with a powerful physics engine
...Or maybe you always dreamt of operating an atomic power plant? Do you have a will to develop your own CPU? The Powder Toy lets you to do all of these, and even more! The Powder Toy is a free physics sandbox game, which simulates air pressure and velocity, heat, gravity and a countless number of interactions between different substances! The game provides you with various building materials, liquids, gases and electronic components which can be used to construct complex machines, guns, bombs, realistic terrains and almost anything else. ... -
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CMSSW
CMS Offline Software
CMSSW is a collection of software used wherever CMS is needed. CMS is a particle detector that is designed to see a wide range of particles and phenomena produced in high-energy collisions in the LHC. CMSSW has one executable, cmsRun and many plug-in modules. -
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NVIDIA Isaac Lab
Unified framework for robot learning built on NVIDIA 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. -
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2D-Physics
2D physics simulation with circle collision detection using C++.
...Objects can be fixed or movable, enabling orbital mechanics demonstrations and charged particle experiments. Includes preset charge values, field direction controls, and vertical sync options. Suitable for educational purposes and physics experimentation. -
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The Arcade Library
Easy to use Python library for creating 2D arcade games
...It provides a modern and straightforward API, enabling developers to craft engaging games and graphical applications efficiently. Arcade supports rendering shapes, handling user input, and managing game physics, making it suitable for both beginners and experienced developers. -
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NVIDIA PhysicsNeMo
Open-source deep-learning framework for building and training
NVIDIA PhysicsNeMo is an open-source deep learning framework designed for building artificial intelligence models that incorporate physical laws and scientific knowledge into machine learning workflows. The framework focuses on the emerging field of physics-informed machine learning, where neural networks are used alongside physical equations to model complex scientific systems. PhysicsNeMo provides modular Python components that allow developers to create scalable training and inference pipelines for models that combine data-driven learning with physics-based constraints. It is built on top of the PyTorch ecosystem and integrates with GPU-accelerated computing environments to handle computationally demanding simulations and datasets. ... -
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NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers
NeuralPDE.jl is a Julia library for solving partial differential equations (PDEs) using physics-informed neural networks and scientific machine learning. Built on top of the SciML ecosystem, it provides a flexible and composable interface for defining PDEs and training neural networks to approximate their solutions. NeuralPDE.jl enables hybrid modeling, data-driven discovery, and fast PDE solvers in high dimensions, making it suitable for scientific research and engineering applications. -
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