NVIDIA Isaac Sim

Robotics simulation environment built on Omniverse for testing and training robots.

Pricing: free
Free tier: true
License: open-source
Open source: No

Editorial review

NVIDIA Isaac Sim 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

Documentation(HTTPS URL): https://docs.isaacsim.omniverse.nvidia.com/latest/index.htmlVerified
Tags(open-source;cloud-native): robotics, simulation, synthetic-data, OpenUSD, AIVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance): desktopVerification 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/isaac-sim/IsaacSimVerified
SPDX license IDs(Apache-2.0;MIT): Apache-2.0Verification pending

Features · Product · Fit

Core capabilities(authoring;automation;analytics): Robotics simulation, testing, and synthetic data generation in physically based virtual environments, Robot learning with NVIDIA Isaac Lab, Software-in-the-loop and hardware-in-the-loop testing, CAD, URDF and real-world capture ingestion converted into OpenUSD, Controllable synthetic data generation with custom pipelines, ROS support including custom ROS2 messagesVerification pending

Api · Integrations · Ecosystem

API available(true/false): trueVerification pending

Audience · Use · Case

Best for(Neutral editorial summary): Robotics teams training, testing and validating robots with free open-source, physically based simulation and synthetic data generation.Verification pending
Company-size fit(individual;SMB;mid-market;enterprise): individual, mid-market, enterpriseVerification pending
Primary use cases(build;monitor;automate): Virtually train, test, and validate robots, Build custom OpenUSD-based simulators and automate workflows, Bootstrap AI model training with synthetic dataVerification pending
Skill level(beginner;intermediate;advanced;specialist): specialistVerification pending

Lifecycle · Versioning

Current version(1.12.3): 5.1.0Verification pending
Maintenance status(active;maintenance;deprecated;EOL;archived): activeVerified

Vendor · Maintainer

Founded year(2012): 1993Verified
Headquarters country(US): United StatesVerified
Vendor type(commercial;foundation;community;government;consortium;individual): commercialVerification pending

User reviews

Review policy

No published reviews yet.