Skip to main content

geomcore (Python bindings)

Python bindings for geomcore, a pure, standalone geometric kernel for CAD-grade curves and surfaces — parametric evaluation, rigid transformations, and analytic curve-on-surface parametrization, implemented in Rust.

from geomcore import Point3D, Vector3D
from geomcore.curves import Circle3D
import math

circle = Circle3D(Point3D.origin(), Vector3D.z(), 2.0)
point = circle.eval_point(math.pi / 4)

Install

pip install geomcore

Pre-built wheels are published for Linux (x86_64, aarch64), macOS, and Windows, for Python 3.9+ (abi3 — one wheel covers all versions).

What's inside

  • Parametric evaluation for lines, circles, ellipses, parabolas, hyperbolas, and B-spline curves (rational and periodic), plus planes, cylinders, cones, spheres, tori, and B-spline surfaces.
  • Bulk evaluation (eval_points) with a single native call per batch.
  • Rigid transformations via a single Transform type.
  • Analytic curve-on-surface parametrization (parametrize_on) for lines and circles on the five elementary surfaces.

All numeric results are validated against golden fixtures at CAD-kernel-grade tolerances (1e-7). See the repository for full documentation, the roadmap, and the Rust crate.

License

Dual-licensed under MIT or Apache-2.0, at your option.

Metadata

Release files for geomcore 0.20.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for geomcore 0.20.0
File Size Uploaded
geomcore-0.20.0.tar.gz 998.3 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for geomcore 0.20.0
File
geomcore-0.20.0-cp39-abi3-win_amd64.whl CPython 3.9 abi3 Windows x86-64 Details
geomcore-0.20.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 abi3 Linux glibc 2.17+ x86-64 Details
geomcore-0.20.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.9 abi3 Linux glibc 2.17+ ARM64 Details
geomcore-0.20.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl CPython 3.9 abi3 macOS 10.12+ x86-64, macOS 11.0+ ARM64, macOS 10.12+ universal2 (ARM64, x86-64) Details

Total release size: 3.6 MB

Release files / geomcore-0.20.0.tar.gz

Download URL geomcore-0.20.0.tar.gz
Size 998.3 kB
Tags Source
SHA-256 checksum
How to use checksums
27c526c3efb4b192ca973119977f3a522de19a49140d1347a1fc181fcc1ba5e4
BLAKE2b-256 checksum
How to use checksums
c9f22d119e2d3f8cd032e91c6727e8e49a3e27d4e7cf209a88ac2062fe36215c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log

Release files / geomcore-0.20.0-cp39-abi3-win_amd64.whl

Download URL geomcore-0.20.0-cp39-abi3-win_amd64.whl
Size 405.1 kB
Tags CPython 3.9 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
f9f2432f9871928c57b8f531e6197ee1e44d4e5a0bd7c8c5c022649d69b83bc3
BLAKE2b-256 checksum
How to use checksums
cee51daa8237a4ba23af664d05e8580d4013482799313c76c900917535815655
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log

Release files / geomcore-0.20.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL geomcore-0.20.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 564.2 kB
Tags CPython 3.9 Linux glibc 2.17+ x86-64 abi3
SHA-256 checksum
How to use checksums
291813bd8363b1685c262ef8f354dadcea5c3f28644e2259f31b9b7c20d5e243
BLAKE2b-256 checksum
How to use checksums
c32a73056337ecb9da8697397179ffe41bad26e4f4d6373a7deb81d861e1bccb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log

Release files / geomcore-0.20.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL geomcore-0.20.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 564.6 kB
Tags CPython 3.9 Linux glibc 2.17+ ARM64 abi3
SHA-256 checksum
How to use checksums
8f60d85cbdd2f821f50daf4e95632947dea58237b37663ecf83e7321311fc1cf
BLAKE2b-256 checksum
How to use checksums
ffcff038a15f8b58078826742a91e6d694a59f23f393ad51ba4aaad12f0f36a8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log

Release files / geomcore-0.20.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl

Download URL geomcore-0.20.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Size 1.0 MB
Tags CPython 3.9 abi3 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
af388d3f5331b2f253195728f6ad360a74cf6c25ae9045bbcbf60503a63c6b3a
BLAKE2b-256 checksum
How to use checksums
75fcea9849014df488d226f78cb171f2e162a4c980a63303fdb35cff58f9f54c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log

Release history Release notifications | RSS feed

0.34.0

5 release files

0.33.0

5 release files

0.32.2

5 release files

0.32.1

5 release files

0.32.0

5 release files

0.31.0

5 release files

0.30.0

5 release files

0.29.0

5 release files

0.28.0

5 release files

0.27.0

5 release files

0.26.0

5 release files

0.25.0

5 release files

0.24.0

5 release files

0.23.0

5 release files

0.22.0

5 release files

0.21.0

5 release files

This release

0.20.0 This release

5 release files

0.19.0

5 release files

0.18.0

5 release files

0.17.0

5 release files

0.16.0

5 release files

0.15.0

5 release files

0.14.0

5 release files

0.13.0

5 release files

0.12.0

5 release files

0.11.0

5 release files

0.10.0

5 release files

0.9.0

5 release files

0.8.0

5 release files

0.7.0

5 release files

0.6.0

5 release files

0.5.0

5 release files

0.4.0

5 release files

0.3.0

5 release files

0.2.0

5 release files

0.1.0

5 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page