isaac-sim

    isaac-sim/IsaacSim

    NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.

    testing
    Python
    NOASSERTION
    4.4K stars
    591 forks
    4.4K GitHub watchers
    Updated Nov 1, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    3 releases in the last 90 days, the latest 18 days ago, with 5 contributors on GitHub.

    Gained 15% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Simulates and tests AI-driven robots in realistic virtual environments using NVIDIA Omniverse and GPU-accelerated physics.
    • Provides high-fidelity simulation with multi-sensor RTX rendering and supports end-to-end robotics workflows including reinforcement learning and ROS integration.
    • Use for developing and tuning robot dynamics and control algorithms with accurate physics simulation.
    • Use for generating synthetic sensor data to train and validate AI models for robotics applications.
    • Use for creating digital twins of robotic systems to simulate real-world deployment scenarios and test robot behaviors virtually.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Other

    GitHub could not identify this license; read the LICENSE file before depending on it.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • License not identified by GitHub; read the LICENSE file before depending on it.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    NVIDIA Isaac Sim™ is a simulation platform built on NVIDIA Omniverse, designed to develop, test, train, and deploy AI-powered robots in realistic virtual environments. It supports importing robotic systems from common formats such as URDF, MJCF, and CAD. The simulator leverages high-fidelity, GPU-accelerated physics engines to simulate accurate dynamics and support multi-sensor RTX rendering at scale. It comes equipped with end-to-end workflows including synthetic data generation, reinforcement learning, ROS integration, and digital twin simulation. Isaac Sim provides the infrastructure needed to support robotics development at any stage.

    Excerpt from the isaac-sim/IsaacSim README on GitHub (NOASSERTION license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    591+76

    Open issues

    110+53

    Compared with peers in Testing

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    isaac-sim/IsaacSim compared with Testing repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    D4Vinci/Scrapling98.1K+6.9K651 day ago
    lexmount/moli22.7K+1.2K552 days ago
    tester-army/e2e13.3K+1.0K45today
    keploy/keploy19.5K+56445today
    usebruno/bruno48.2K+2815914 days ago
    isaac-sim/IsaacSim4.4K—3218 days ago
    Category median22.7K+1.0K55—

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