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 0.9.0

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 0.9.0
File Size Uploaded
geomcore-0.9.0.tar.gz 899.3 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for geomcore 0.9.0
File
geomcore-0.9.0-cp39-abi3-win_amd64.whl CPython 3.9 abi3 Windows x86-64 Details
geomcore-0.9.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 abi3 Linux glibc 2.17+ x86-64 Details
geomcore-0.9.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.9 abi3 Linux glibc 2.17+ ARM64 Details
geomcore-0.9.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl CPython 3.9 abi3 macOS 10.12+ universal2 (ARM64, x86-64), macOS 10.12+ x86-64, macOS 11.0+ ARM64 Details

Total release size: 2.9 MB

Release files / geomcore-0.9.0.tar.gz

Download URL geomcore-0.9.0.tar.gz
Size 899.3 kB
Tags Source
SHA-256 checksum
How to use checksums
4988e103e619c03dbc09df3ad99ff23c741345cd3718f0afb56d75e958fc97d4
BLAKE2b-256 checksum
How to use checksums
9db70a3e39310cb86a853491423aa41ab75310b3560ed920bdf667dcad13c906
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 29, 2026.

Transparency log

Release files / geomcore-0.9.0-cp39-abi3-win_amd64.whl

Download URL geomcore-0.9.0-cp39-abi3-win_amd64.whl
Size 301.6 kB
Tags CPython 3.9 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
777be581f19f1938590de9b53c7af87cdfe6f2b8e162042f04b18e020443fc2d
BLAKE2b-256 checksum
How to use checksums
64b1872931cf8a54465d8ee1fa715651f3404d3be18d476bf770c809a9f7e126
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 29, 2026.

Transparency log

Release files / geomcore-0.9.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL geomcore-0.9.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 452.4 kB
Tags CPython 3.9 Linux glibc 2.17+ x86-64 abi3
SHA-256 checksum
How to use checksums
d9e134b42e2345f1860ec40a68bfdedcc24d03e9b5934a7e989ed15dcf6b3d3a
BLAKE2b-256 checksum
How to use checksums
9c850df904c70b44b1303422d897ed45d3bee1367028b88323647cbdb7172a66
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 29, 2026.

Transparency log

Release files / geomcore-0.9.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL geomcore-0.9.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 460.3 kB
Tags CPython 3.9 Linux glibc 2.17+ ARM64 abi3
SHA-256 checksum
How to use checksums
dbd4db4db655daece3966f447dc194c9f8c8a6c5b154b2cf023ea8dc28c8ef94
BLAKE2b-256 checksum
How to use checksums
aaa0524e5a888dc13bcf6c52e66315bc2edd39790e28f53eb63a95fc0b1ccde4
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 29, 2026.

Transparency log

Release files / geomcore-0.9.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl

Download URL geomcore-0.9.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Size 811.4 kB
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
f3220c9554bd31e12cd3c3ec059ef6ea35fbb211716e3cbf556b7c3f8aaba6a6
BLAKE2b-256 checksum
How to use checksums
4544f07b96c04a084211cbf076cc04540998d565cf646e9cf2987e43ad179a6e
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 29, 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

0.20.0

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

This release

0.9.0 This release

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