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GitHub Open Source NVIDIA-Omniverse/usd-brep

USD BRep is a standalone C++ and Python library for NURBS-based boundary representation (BRep) solid modeling

1,498
Traction Score
199
Forks
Oct 8, 2026
Launch Date
View Origin Link

Product Positioning & Context

AI Executive Synthesis
Accurate geometric representation and conversion for CAD/BRep data within the USD ecosystem. The goal is precise area calculation, which is failing to converge with increased accuracy settings.
This issue reveals a critical precision failure in `usd-brep`'s `occt_to_usd` conversion, specifically for complex B-spline geometry. A 0.65% area error that plateaus despite increased `relative_accuracy` indicates a fundamental algorithmic or implementation flaw, not a simple precision limit. This directly impacts the reliability of USD for industrial CAD workflows, particularly with vendor-supplied STEP models containing rational B-splines. The inability to achieve convergence on a basic geometric property like area undermines trust in the library's foundational accuracy, posing a significant barrier to adoption in engineering and manufacturing sectors where precise geometric fidelity is non-negotiable. The explicit non-applicability of existing workarounds suggests a novel or more complex defect requiring deeper investigation.
USD BRep is a standalone C++ and Python library for NURBS-based boundary representation (BRep) solid modeling

Related Ecosystem & Alternatives

Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.

Deep-Dive FAQs

What is NVIDIA-Omniverse/usd-brep?
NVIDIA-Omniverse/usd-brep is analyzed by our AI as: Accurate geometric representation and conversion for CAD/BRep data within the USD ecosystem. The goal is precise area calculation, which is failing to converge with increased accuracy settings.. It focuses on This issue reveals a critical precision failure in `usd-brep`'s `occt_to_usd` conversion, specifically for complex B-spline geometry. A 0.65% area ...
Where did NVIDIA-Omniverse/usd-brep originate?
Data for NVIDIA-Omniverse/usd-brep was aggregated directly from the GitHub Open Source community ecosystem, representing raw developer and early-adopter sentiment.
When was NVIDIA-Omniverse/usd-brep publicly launched?
The initial public indexing or launch date for NVIDIA-Omniverse/usd-brep within our tracked developer communities was recorded on October 8, 2026.
How popular is NVIDIA-Omniverse/usd-brep?
NVIDIA-Omniverse/usd-brep has achieved measurable traction, logging over 1,498 traction score and facilitating 199 recorded discussions or engagements.
Are there active development issues for NVIDIA-Omniverse/usd-brep?
Yes, we are currently tracking open architectural debates and bug reports for this project on GitHub. There are currently 5 active high-priority issues logged recently.
What are some commercial alternatives to NVIDIA-Omniverse/usd-brep?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Dottr, which offers overlapping value propositions.
How does the creator describe NVIDIA-Omniverse/usd-brep?
The original author or development team describes the product as follows: "USD BRep is a standalone C++ and Python library for NURBS-based boundary representation (BRep) solid modeling"

Active Developer Issues (GitHub)

open occt_to_usd: planar face with rational B-spline edges imports ~0.65% too large; Face.area() error plateaus instead of converging
Logged: Oct 16, 2026
open SmApiShellBrepFull gives different results for the same filleted box across fresh processes (different volumes, SM_ERR, or non-manifold, all from one input)
Logged: Oct 14, 2026
open SmApiCircularFillet on a 0.001-side box does not return within 90 seconds (3 fresh-process repros)
Logged: Oct 13, 2026
open Sphere tessellation has a large local deviation at chord height 0.001 (worse than 0.01)
Logged: Oct 13, 2026
open SmApiRemoveFillet returns SM_SUCCESS without changing a filleted box (native repro)
Logged: Oct 13, 2026

Community Voice & Feedback

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Discovery Source

GitHub Open Source GitHub Open Source

Aggregated via automated community intelligence tracking.

Tech Stack Dependencies

No direct open-source NPM package mentions detected in the product documentation.

Media Tractions & Mentions

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Deep Research & Science

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