NVIDIA PhysX

Open source

Physics simulation SDK for games and real-time applications, available under an open-source license.

Pricing: free
Free tier: true
License: open-source
Open source: Yes

Editorial review

NVIDIA PhysX has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Tags(open-source;cloud-native): physics engine, GPU simulation, robotics, Omniverse, autonomous vehicles, reinforcement learningVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance): embeddedVerification pending

Pricing · Licensing

Free plan(true/false): trueVerification pending
License model(proprietary;open-source;source-available;dual-license): open-sourceVerified
Pricing model(free;subscription;usage;seat;asset;transaction;revenue-share;perpetual;custom): freeVerified
Source repository(HTTPS URL): https://github.com/NVIDIA-Omniverse/PhysXVerified
SPDX license IDs(Apache-2.0;MIT): BSD-3-ClauseVerified

Features · Product · Fit

Core capabilities(authoring;automation;analytics): Scalable rigid body dynamics on CPU and GPU, FEM soft body, cloth, particles and fluid simulation, Scene queries: raycast, overlap and sweep, Reduced coordinate articulations and vehicle dynamics, Character controllers, custom geometry, SDF colliders, Destruction (PhysX Blast) and smoke and fire (PhysX Flow)Verification pending

Api · Integrations · Ecosystem

API available(true/false): trueVerification pending

Audience · Use · Case

Best for(Neutral editorial summary): Robotics, AV and Omniverse developers needing GPU-accelerated multi-physics simulation with an open-source SDK.Verification pending
Company-size fit(individual;SMB;mid-market;enterprise): SMB, mid-market, enterpriseVerification pending
Primary use cases(build;monitor;automate): Robotics simulation, Autonomous vehicle simulation, Game physics, Reinforcement learning via NVIDIA Isaac Lab, Omniverse 3D and industrial digitalization workflowsVerification pending
Skill level(beginner;intermediate;advanced;specialist): specialistVerification pending

Lifecycle · Versioning

Maintenance status(active;maintenance;deprecated;EOL;archived): activeVerification pending

Vendor · Maintainer

Vendor type(commercial;foundation;community;government;consortium;individual): commercialVerification pending

User reviews

Review policy

No published reviews yet.