Skip to main content

raygeo

PyPI CI

A high-performance 2D/3D geometry library for Python, built in Rust with PyO3.

raygeo provides vector path construction, polygon boolean operations, curve fitting, path transformations, and geometric queries — all backed by a native Rust extension.

Showcase

Concave hull, arc fitting, nesting, directional bites, raster power modulation, smoothing, linearization, HSM peeling, cylindrical transform, conical helix, 3D polyline offset, and 3D fillet polyline

Installation

pip install raygeo

Requires Python 3.10+ and a compatible platform (Linux, Windows, macOS Intel, or macOS Apple Silicon). Pre-compiled wheels are available on PyPI.

Quick Start

Building Paths

The Geometry class is the core abstraction. It stores a vector path as a sequence of move, line, arc, and cubic Bezier commands. All mutating methods return self for chaining:

from raygeo.geo import Geometry

# Create a 10x10 square
g = Geometry()
g.move_to(0, 0)
g.line_to(10, 0)
g.line_to(10, 10)
g.line_to(0, 10)
g.close_path()

print(g.area())    # 100.0
print(g.rect())    # (0.0, 0.0, 10.0, 10.0)
print(g.is_closed())  # True

Builder methods can be chained:

g = Geometry()
g.move_to(0, 0).line_to(10, 0).line_to(10, 10).line_to(0, 10).close_path()

You can also create paths from point lists:

triangle = Geometry.from_points([(0, 0), (10, 0), (5, 8.66)])

Arcs and Bezier Curves

g = Geometry()
g.move_to(0, 0)
g.arc_to(10, 0, i=5, j=0, clockwise=False)  # semicircular arc
g.close_path()

# Bezier curves
g2 = Geometry()
g2.move_to(0, 0)
g2.bezier_to(10, 0, c1x=3, c1y=5, c2x=7, c2y=5)

# Convert arcs to Bezier curves (for non-uniform scaling)
g3 = Geometry()
g3.move_to(0, 0)
g3.arc_to_as_bezier(10, 0, i=5, j=0)
g3.upgrade_to_scalable()

Path Analysis

print(g.distance())       # total path length
print(g.area())           # signed enclosed area
print(g.rect())           # bounding box (x_min, y_min, x_max, y_max)
print(g.is_closed())      # path closure check
print(g.segments())       # split into sub-paths

# Find closest point on path
result = g.find_closest_point(5, 5)  # (segment_index, t, (x, y)) or None

# Point and tangent at parameter t on a segment
point = g.get_point_at(segment_index=0, t=0.5)
tangent = g.get_tangent_at(segment_index=0, t=0.5)

Transformations

All transformation methods mutate the geometry in place and return self, allowing chaining. Use .copy() first if you need to preserve the original:

import numpy as np
from raygeo.geo import Geometry

g = Geometry.from_points([(0, 0), (10, 0), (10, 10), (0, 10)])

# Offset (grow/shrink) — mutates in place
g.grow(1.0)   # offset outward by 1 unit (each side moves by the amount)
print(g.area())  # 144.0 — 12×12

# Use .copy() to preserve the original
original = Geometry.from_points([(0, 0), (10, 0), (10, 10), (0, 10)])
shrunk = original.copy()
shrunk.grow(-1.0)  # offset inward by 1 unit

# Affine transform (4x4 matrix) — mutates in place
matrix = [
    [1, 0, 0, 5],  # translate x by 5
    [0, 1, 0, 3],  # translate y by 3
    [0, 0, 1, 0],
    [0, 0, 0, 1],
]
g.transform(matrix)

# Map geometry into a frame — mutates in place
g.map_to_frame(
    origin=(0, 0),
    p_width=(100, 0),
    p_height=(0, 100),
)

g.flip_x()  # negate all x coordinates
g.flip_y()  # negate all y coordinates

# Chaining is possible since all methods return self
g2 = Geometry.from_points([(0, 0), (10, 0), (10, 10), (0, 10)])
g2.transform(matrix).flip_x().grow(1.0)

Contour Operations

All contour methods mutate the geometry in place and return self:

# Split into separate closed contours (returns list, does not mutate)
contours = g.split_into_contours()

# Split into disconnected components (returns list, does not mutate)
components = g.split_into_components()

# Separate holes from solids (returns tuple, does not mutate)
inner, outer = g.split_inner_and_outer_contours()

# Normalize winding orders — mutates in place
g.normalize_winding_orders()

# Filter to only external contours — mutates in place
g.filter_to_external_contours()

# Remove shared edges between sub-paths — mutates in place
g.remove_inner_edges()

Polygon Operations

The geo.shape.polygon submodule provides polygon-specific operations powered by Clipper2:

from raygeo.geo import Geometry
from raygeo.geo.shape.polygon import (
    get_polygon_area,
    get_polygon_bounds,
    offset_polygon,
    get_polygons_union,
    get_polygons_intersection,
    get_polygons_difference,
    is_point_inside_polygon,
    polygons_intersect,
    get_polygon_convex_hull,
)

square = [(0, 0), (10, 0), (10, 10), (0, 10)]
circle_approx = [(5 + 5 * math.cos(a), 5 + 5 * math.sin(a))
                 for a in [i * math.pi / 20 for i in range(40)]]

get_polygon_area(square)                # 100.0
get_polygon_bounds(square)              # (0.0, 0.0, 10.0, 10.0)
is_point_inside_polygon((5, 5), square) # True

# Boolean operations
union = get_polygons_union([square, circle_approx])
intersection = get_polygons_intersection(square, circle_approx)
difference = get_polygons_difference(square, circle_approx)

# Offset
inflated = offset_polygon(square, 2.0)

# NumPy variants are also available (suffixed with _numpy)
import numpy as np
sq_np = np.array(square)
get_polygon_area(sq_np)  # also works with numpy arrays

Curve Fitting

All fitting methods mutate the geometry in place and return self:

from raygeo.geo import Geometry

# Simplify a path
g.simplify(tolerance=0.1)

# Convert curves to line segments
g.linearize(tolerance=0.01)

# Fit arcs and beziers to linear data
g.fit_arcs(tolerance=0.5)
g.fit_curves(tolerance=0.5, beziers=True, arcs=True)

# Convert geometry to polygons (returns list, does not mutate)
polygons = g.to_polygons(tolerance=0.01)

Self-Intersection Detection

g.has_self_intersections()          # check for self-intersections
g.intersects_with(other_geometry)   # check intersection with another geometry
g.encloses(other_geometry)          # check if this fully encloses another

Serialization

# Serialize to dict (JSON-safe)
data = g.to_dict()

# Deserialize from dict
g2 = Geometry.from_dict(data)

# Pickle support (via __reduce_ex__)
import pickle
g3 = pickle.loads(pickle.dumps(g))

Documentation

Full API reference documentation is generated from the source type stubs. Run make docs to build it locally — this produces Markdown pages in docs/api/ with inline visual examples.

The docs are also published online with the RayForge Developer Docs.

Development

Prerequisites

  • Rust toolchain (latest stable)
  • Python 3.10+
  • maturin (pip install maturin)
  • Node.js (only needed for make lint-python, which runs pyright via npx)

Quick Start

# Create and activate a virtual environment (Unix)
python -m venv .venv
source .venv/bin/activate   # on Windows: .venv\Scripts\activate

# Install build tool and build the extension
pip install maturin pytest
make dev                   # builds Rust extension and installs into venv

# Run tests
make test

# Full check (lint + test)
make check

Available Make Targets

Target Description
make dev Build and install into the active venv
make build Build release wheel to dist/
make test Run pytest
make lint Lint Rust + Python (including pyright)
make format Auto-format Rust + Python
make check Lint + test
make stubs Regenerate .pyi type stubs
make docs Build API docs with inline visual examples
make visual Launch Streamlit visual test playground

Visual Testing

The make visual target launches an interactive Streamlit playground with real-time plots for geometry construction, polygon booleans, curve fitting, image processing, SVG parsing, tab operations, overscan, lead- in/out, merging, rasterization, concave hull, and nesting.

pip install -e ".[visual]"
make visual

See Visual Testing for a full walkthrough of every page and its controls.

CLI Tools

The raygeo command provides subcommands for tracing, inspecting, and profiling adaptive clearing runs.

pip install -e ".[cli]"
raygeo trace /tmp/trace.bin --scenario centre-island
raygeo inspect /tmp/trace.bin

See CLI Tools for full usage documentation.

License

MIT

Metadata

Release files for raygeo 1.66.0

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

Source distribution (sdist)

Source distribution for raygeo 1.66.0
File Size Uploaded
raygeo-1.66.0.tar.gz 33.5 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for raygeo 1.66.0
File
raygeo-1.66.0-cp311-abi3-win_amd64.whl CPython 3.11 abi3 Windows x86-64 Details
raygeo-1.66.0-cp311-abi3-manylinux_2_35_x86_64.whl CPython 3.11 abi3 Linux glibc 2.35+ x86-64 Details
raygeo-1.66.0-cp311-abi3-manylinux_2_35_aarch64.whl CPython 3.11 abi3 Linux glibc 2.35+ ARM64 Details
raygeo-1.66.0-cp311-abi3-macosx_11_0_arm64.whl CPython 3.11 abi3 macOS 11.0+ ARM64 Details
raygeo-1.66.0-cp311-abi3-macosx_10_12_x86_64.whl CPython 3.11 abi3 macOS 10.12+ x86-64 Details

Total release size: 56.5 MB

Release files / raygeo-1.66.0.tar.gz

Download URL raygeo-1.66.0.tar.gz
Size 33.5 MB
Tags Source
SHA-256 checksum
How to use checksums
4e48a8a4be98dbb32ca793a0f8e83063910ae2e3f9d7a8c6c28dc05cb0c2ebaa
BLAKE2b-256 checksum
How to use checksums
6f348a43ea689fb44533a55dfebb7c421361cca038d72db69f09b89fa76a3f36
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 Oct 15, 2026.

Transparency log

Release files / raygeo-1.66.0-cp311-abi3-win_amd64.whl

Download URL raygeo-1.66.0-cp311-abi3-win_amd64.whl
Size 4.3 MB
Tags CPython 3.11 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
6842e250a3ec4ac74ddffbfdb0486ec631ddce49de3bdaa75d0cb80fe75e6c70
BLAKE2b-256 checksum
How to use checksums
22a23b228836d9a442580c59f5b00720aa39a25281d0570afa2b092cd57d29c5
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 Oct 15, 2026.

Transparency log

Release files / raygeo-1.66.0-cp311-abi3-manylinux_2_35_x86_64.whl

Download URL raygeo-1.66.0-cp311-abi3-manylinux_2_35_x86_64.whl
Size 4.9 MB
Tags CPython 3.11 Linux glibc 2.35+ x86-64 abi3
SHA-256 checksum
How to use checksums
340cbad04c6f8b67b24f1402327cb66c55f76bdef3ef864a99693bc229de6c75
BLAKE2b-256 checksum
How to use checksums
e3128c35766f8af2fbf2047f91a317c4f01f38d156746cbbbfe245f269350f8a
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 Oct 15, 2026.

Transparency log

Release files / raygeo-1.66.0-cp311-abi3-manylinux_2_35_aarch64.whl

Download URL raygeo-1.66.0-cp311-abi3-manylinux_2_35_aarch64.whl
Size 5.0 MB
Tags CPython 3.11 Linux glibc 2.35+ ARM64 abi3
SHA-256 checksum
How to use checksums
c9d4c0943ecccea17aef9e247e165b4d7bcc48abe082b41f668930f09ad9f1e4
BLAKE2b-256 checksum
How to use checksums
d9f77c26e87be85b9166bc84caed9847ebce6422a71e8291e007bc25ef2c0218
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 Oct 15, 2026.

Transparency log

Release files / raygeo-1.66.0-cp311-abi3-macosx_11_0_arm64.whl

Download URL raygeo-1.66.0-cp311-abi3-macosx_11_0_arm64.whl
Size 4.3 MB
Tags CPython 3.11 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
1d6b1db07abff0dac5aeadd39836d549604362a9ac3bc09d268067410b02c1d5
BLAKE2b-256 checksum
How to use checksums
02fc06c7952ef808bcfb1ab730d464a20fc8f1225d502b960320e9d4fe39344b
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 Oct 15, 2026.

Transparency log

Release files / raygeo-1.66.0-cp311-abi3-macosx_10_12_x86_64.whl

Download URL raygeo-1.66.0-cp311-abi3-macosx_10_12_x86_64.whl
Size 4.6 MB
Tags CPython 3.11 abi3 macOS 10.12+ x86-64
SHA-256 checksum
How to use checksums
a7127ee88d7c24537ba4e1b3744092a1b756fc22444ef622bd4cb2949985d51d
BLAKE2b-256 checksum
How to use checksums
3b865f87e5f3346cb9ec52df6aa71e244103b18e7c36f9ebd18c624ab5e0d71c
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 Oct 15, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

1.66.0 This release

6 release files

1.65.0

6 release files

1.64.0

6 release files

1.63.0

6 release files

1.62.0

6 release files

1.58.1

6 release files

1.58.0

6 release files

1.57.0

6 release files

1.56.1

5 release files

1.56.0

5 release files

1.55.0

5 release files

1.54.3

5 release files

1.54.2

5 release files

1.54.1

5 release files

1.54.0

5 release files

1.53.3

5 release files

1.53.2

5 release files

1.53.1

5 release files

1.53.0

5 release files

1.52.0

5 release files

1.51.0

5 release files

1.49.0

5 release files

1.48.0

5 release files

1.47.0

5 release files

1.46.0

5 release files

1.45.1

5 release files

1.45.0

5 release files

1.44.0

5 release files

1.43.0

5 release files

1.42.1

5 release files

1.42.0

5 release files

1.41.1

5 release files

1.41.0

5 release files

1.40.3

5 release files

1.40.2

5 release files

1.40.1

5 release files

1.40.0

5 release files

1.39.1

5 release files

1.39.0

5 release files

1.38.3

5 release files

1.38.2

5 release files

1.38.1

5 release files

1.38.0

5 release files

1.37.0

5 release files

1.36.1

5 release files

1.27.1

5 release files

1.27.0

5 release files

1.26.0

5 release files

1.25.6

5 release files

1.25.5

5 release files

1.25.4

5 release files

1.25.3

5 release files

1.25.2

5 release files

1.25.1

5 release files

1.25.0

5 release files

1.24.0

5 release files

1.23.0

5 release files

1.22.0

5 release files

1.21.3

5 release files

1.21.2

5 release files

1.21.1

5 release files

1.21.0

5 release files

1.20.2

5 release files

1.20.1

5 release files

1.20.0

5 release files

1.19.0

5 release files

1.18.0

5 release files

1.17.1

5 release files

1.17.0

5 release files

1.16.0

5 release files

1.15.2

5 release files

1.15.1

5 release files

0.15.0

5 release files

0.13.2

5 release files

0.13.1

5 release files

0.13.0

5 release files

0.12.1

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

0.7.1

5 release files

0.7.0

5 release files

0.6.3

5 release files

0.6.2

5 release files

0.6.1

5 release files

0.6.0

5 release files

0.5.0

5 release files

0.4.1

5 release files

0.4.0

5 release files

0.3.0

5 release files

0.2.0

5 release files

0.1.9

5 release files

0.1.7

5 release files

0.1.6

5 release files

0.1.5

5 release files

0.1.3

5 release files

0.1.2

5 release files

0.1.1

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