newton-usd-schemas
OpenUSD schema definitions for the Newton physics engine
What it is and what it does
newton-usd-schemas is a codeless schema package that extends OpenUSD's UsdPhysics specification to support Newton physics engine parameters. It contains no compiled code or public API—instead, it registers schema definitions with OpenUSD at runtime, allowing content creators to author Newton-compatible physics scenes in any USD-capable application without needing the Newton runtime installed.
The package is deployed as a pure Python wheel with zero runtime dependencies, making it lightweight to install. Once imported early in your application, it enables you to apply Newton-specific attributes to USD prims, then export those layers for later loading into a Newton runtime. It follows a minimalist design philosophy, including only attributes with clear physical meaning or cross-solver support, positioning Newton schemas as a staging ground for parameters that may eventually be promoted into the UsdPhysics standard.
Use it for:
- Author physics-enabled robots and props in USD-based content creation tools without installing Newton itself.
- Configure simulation parameters in USD layers for later Newton runtime execution.
- Extend UsdPhysics with Newton-specific attributes for multi-solver physics workflows.
- Integrate Newton physics schemas into existing USD pipelines and asset libraries.
- Stage and test physics parameter definitions before proposing them for inclusion in the UsdPhysics standard.
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Registers OpenUSD schema extensions for the Newton physics engine, allowing USD layers to configure Newton-compatible robots, props, and environments without requiring the Newton runtime itself.
Yes, if you are authoring USD content for Newton physics simulations. The package is lightweight, actively maintained, has no dependencies, and uses a permissive license. However, note that it is in v0.x experimental status—breaking schema changes are possible in future releases, though the maintainers commit to providing migration paths. Requires Python 3.10 or later and a separate USD runtime.
Install
newton-usd-schemas on PyPI
pip
pip install newton-usd-schemasuv
uv add newton-usd-schemaspoetry
poetry add newton-usd-schemasInstalling newton-usd-schemas
Before you install
Active project with a recent release and no runtime dependencies, making installation straightforward. Requires Python 3.10 or later and a separate USD runtime to function.
License in practice
Licensed under Apache-2.0 (permissive), allowing use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install newton-usd-schemas
import newton_usd_schemas # register schemas early
# Then use with your USD runtime to configure physics scenes
# and apply Newton-specific attributes to USD prims
Requires Python 3.10 or later; schemas must be imported before the schema registry is initialized. A separate USD runtime must be installed separately.
Verify before relying
- Stability guarantees beyond 'experimental v0.x' phase—whether breaking changes are expected in near-term releases.
- Whether auto-upgrade scripts or migration tools are currently available for schema changes.
- Specific USD runtime versions or distributions known to work with this schema package.
Package facts
| License | Apache-2.0 (permissive) |
| Python support | supports the current Python release (<3.14,>=3.10) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | none |
| Maintenance | actively maintained — 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 201,532/month — #9,669 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: newton_usd_schemas-0.5.0-py3-none-any.whl
Tags
More Scientific/Engineering packages
NumPy provides an N-dimensional array object…
permissive · top 100 on PyPI
pandaspandas provides fast, flexible data structures…
permissive · top 100 on PyPI
scipyscipy provides numerical algorithms for…
permissive · top 100 on PyPI
scikit-learnscikit-learn provides a comprehensive Python…
permissive · top 1,000 on PyPI
dilldill extends Python's pickle module to…
permissive · top 1,000 on PyPI
multiprocessMultiprocess is an enhanced fork of Python's…
permissive · top 1,000 on PyPI
mujoco-usd-converterConverts MuJoCo MJCF robot model files into…
permissive · top 15,000 on PyPI
usd-coreProvides Pixar's Universal Scene Description…
unclear · top 5,000 on PyPI
urdf-usd-converterConverts URDF robot description files into…
permissive · top 15,000 on PyPI
usd-exchangeProvides higher-level convenience functions and…
permissive · top 15,000 on PyPI
newtonNewton is a GPU-accelerated physics simulation…
permissive · top 15,000 on PyPI
newton-actuatorsProvides GPU-accelerated actuator…
permissive · top 15,000 on PyPI
libpinocchiolibpinocchio provides efficient rigid body…
permissive · top 15,000 on PyPI
currency-symbolsMaps ISO 4217 currency codes to their symbols…
permissive · top 5,000 on PyPI
mujoco-mjxA JAX-based reimplementation of the MuJoCo…
permissive · top 15,000 on PyPI
mujoco-warpGPU-accelerated physics simulation for robotics…
permissive · top 15,000 on PyPI