# 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.

Repository: https://github.com/isaac-sim/IsaacSim
Canonical: https://ross.abutalabs.com/products/isaacsim
Homepage: https://developer.nvidia.com/isaac/sim
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-07-02T16:37:41+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 90, release rhythm 77, longevity 33
- inputs: {"age_days": 462, "days_push": 62, "days_rel": 72, "gap_med": 74, "n_releases_24m": 4}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3960, forks 530 (observed 2026-08-28T04:08:30.521432+00:00)

## What it is
NVIDIA Isaac Sim is an open-source robotics simulation application built on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in physically based virtual environments. It supports URDF/MJCF/CAD import, GPU-accelerated physics, RTX sensor rendering, synthetic data generation, reinforcement learning via Isaac Lab, and ROS 2 integration.

## Use cases
- simulate robots in realistic virtual environments
- generate synthetic training data for robot perception
- train robots with reinforcement learning in simulation
- test ROS 2 robot stacks with software-in-the-loop simulation
- import URDF or CAD robot models and simulate them
- build digital twins of robotic workcells
- validate robot hardware with hardware-in-the-loop testing

## When to choose
- you need high-fidelity GPU-accelerated physics and photorealistic sensor simulation for robotics
- you want synthetic data generation pipelines for training perception models
- you need ROS 2 integration for testing robot software stacks
- you are doing robot learning with Isaac Lab (RL, imitation learning, motion planning)

## When to avoid
- you only need lightweight 2D robot simulation without GPU requirements
- you lack an RTX GPU or meet the minimum hardware requirements
- you need a fully permissive license for redistribution (license is custom Apache-2.0 with NVIDIA terms)
- your project is unrelated to robotics or physical simulation

## Facets
- artifact type: application
- maturity: active
- function: simulation, machine-learning, computer-vision, data-generation, robotics, gpu-computing, sdk
- domain: robotics, simulation, artificial-intelligence, machine-learning, autonomous-vehicles, computer-vision
- platform: windows, python, cross-platform
- tags: robot-simulation, synthetic-data-generation, omniverse, usd, ros2, reinforcement-learning, digital-twin, physx, urdf, nvidia, linux, docker, gpu

## Member repositories
- isaac-sim/IsaacSim (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:30.521432+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:24:28.314943+00:00, confidence not recorded.
  - readme: https://github.com/isaac-sim/IsaacSim (fetched 2026-08-28T04:08:30.521432+00:00, sha 24573ce37eb8)
  - homepage: https://developer.nvidia.com/isaac/sim (fetched 2026-08-29T09:18:08.885615+00:00, sha 8dfcca820a15)
  - site_page: https://docs.isaacsim.omniverse.nvidia.com/5.1.0/installation/install_advanced_cloud_setup_brev.html (fetched 2026-08-29T09:18:08.894806+00:00, sha d35100cc896f)
  - site_page: https://docs.isaacsim.omniverse.nvidia.com/latest/introduction/quickstart_index.html (fetched 2026-08-29T09:18:08.896422+00:00, sha 5908a9213b32)
  - site_page: https://docs.omniverse.nvidia.com/isaacsim/latest/features/sensors_simulation/index.html (fetched 2026-08-29T09:18:08.898001+00:00, sha 843f73c3328c)
  - site_page: https://docs.isaacsim.omniverse.nvidia.com/latest/installation/requirements.html (fetched 2026-08-29T09:18:08.899728+00:00, sha e14439f034e1)
  - site_page: https://docs.isaacsim.omniverse.nvidia.com/latest/installation/install_ros.html (fetched 2026-08-29T09:18:08.901151+00:00, sha 42f3a6f9e3d1)
  - site_page: https://docs.isaacsim.omniverse.nvidia.com/latest/installation/install_faq.html (fetched 2026-08-29T09:18:08.903041+00:00, sha 09039b534d74)
  - site_page: https://docs.isaacsim.omniverse.nvidia.com/5.1.0/installation/download.html (fetched 2026-08-29T09:18:08.904855+00:00, sha d494f755149c)
- Data as of 2026-08-30T08:39:29.467469+00:00.