Isaac Sim Python Packages

botrail

Next generation motion planning package. Build robot cells as code.

dex-isaac-mcp

MCP server that lets AI agents drive a live, persistent Isaac Sim session: load any robot, set joint targets and poses, tune gains live, run joint range tests, take screenshots, and launch Isaac Lab training runs. Kit stays up between calls, so each experiment costs a frame instead of a full relaunch.

simscope

A PyPI package to visualize simulation rollouts from physics simulations

isaac-net

GPU-batched 5G network simulation for massively parallel robot learning: thousands of Isaac Lab / MJX environments, network-in-the-loop on one GPU, validated against ns-3 5G-LENA and OAI

caasi

Caasi is a lightweight, CLI-first orchestration layer for NVIDIA Isaac Sim, Isaac Lab and the wider robotics ecosystem (ROS 2, Nav2, MoveIt 2, ros2_control, …). It discovers the tools you already have, launches them headlessly, tracks every long-running process as a first-class run, and gives you uniform, scriptable output for all of it.

rofunc

🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

srb

Robot Learning Beyond Earth

ros-agent

Robot data infrastructure and runtime: turn video, state, actions, and telemetry into training episodes, RL environments, policy rollouts, and replayable evidence.

stripe-kit

Streamlined training for robots in plausible environments

rigyd

Rigyd SDK + CLI — convert any 3D model, text prompt, or image into a physics-enabled SimReady simulation asset (USD for Isaac Sim, MJCF for MuJoCo).