#1414th of 22 in ML frameworks and libraries

genesis-world

Python multi-physics simulator for robotics and physical AI research

Documentation ↗ Website ↗ Repository on GitHub ↗

Stars: 30.1k
License: Apache-2.0
Last commit: Oct 2026
Last release: Oct 2026
Language: Python

Stars, last 29 weeks+2,037

28,021 on 25 Mar 202630,058 on 14 Oct 2026

From GitHub's daily star counts.

Checked 15 Oct 2026 on GitHub.

Overview

Genesis World is a Python simulation platform that combines a multi-physics engine (rigid, FEM, MPM, PBD, SPH, IPC, SAP), three renderers (Nyx, Luisa, Pyrender) and the Quadrants compiler. Quadrants lowers Python kernels to CUDA, ROCm, Metal, Vulkan, x86 and ARM64. It loads URDF, MJCF, OBJ, GLB and USD assets, and supports parallel and heterogeneous environments, sensors and a built-in GUI.

Who it is for: Robotics and RL researchers who need a Python physics simulator

Strengths

Rigid, FEM, MPM, SPH, PBD and IPC solvers share one scene and state
Quadrants compiles to CUDA, ROCm, Metal, Vulkan, x86 and ARM64
Many runnable examples: sensors, controllers, domain randomization, heterogeneous envs
Parses URDF, MJCF, OBJ, GLB and USD assets

Weaknesses

IPC solver needs pyuipc on Linux or Windows x86 with an NVIDIA GPU
PyTorch must be installed separately before the package
Python limited to >=3.10,<3.14
Nyx renderer is a separate package (gs-nyx) with its own install

What it needs

GPU optional
Needs PyTorch, pyuipc (optional), gs-nyx (optional)
Models: URDF, MJCF, OBJ, GLB, USD

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How to choose

Pick the framework your target models and papers already use.
Check hardware support (CUDA, ROCm, Apple Silicon, TPU) for your machines.
Look at release cadence; a framework that stalls strands your code.

Health

Releases: 35 in the last 12 monthsLast one 4 days ago
Top contributor: Not checked
Security advisories: Not checked
Package advisories: Not checked
OpenSSF Scorecard: Not checked

Not read for this project yet: each refresh reads the facts of a few projects. Bots and coding-agent accounts are left out of the commit counts. Not part of the score: how we check.

License in plain words

Apache-2.0 Permissive

Use it at work: Yes
Change it and rebrand it: Yes
Sell it or host it for others: Yes

Your part: Keep the notices and mark the files you change. It also grants you the contributors’ patent rights.

A plain summary, not legal advice. Read the license on GitHub ↗ (opens in a new tab)

#14 of 22 in ML frameworks and libraries on Archestack, as of 15 Oct 2026.

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Best of Open-Source AI on GitHub

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