engeom

Python bindings for engeom, a Rust library of metrology-focused tools for working with 2D and 3D geometry. The primary use case is engineering applications such as GD&T and quality/dimensional inspection, covering every step of the process starting from raw data formats such as meshes and point clouds.

pip install engeom

What is included

3D geometry (engeom.geom3): points, vectors, surface points, lines, planes, circles, spheres, cylinders, cones, triangle meshes, and point clouds, with Levenberg-Marquardt fitting and alignment (engeom.align3).
2D geometry (engeom.geom2): points, vectors, surface points, lines, circles, arcs, and polyline curves, with fitting and alignment.
Airfoil analysis (engeom.airfoil2): construction and analysis of airfoil cross-sections, including camber lines, leading/trailing edge detection, inscribed circles, thickness, and orientation.
Raster fields (engeom.raster2, engeom.raster3): 2D scalar fields for depth-map style data, with filtering, smoothing, in-painting, and region labeling.
Metrology (engeom.metrology): dimension and tolerance types built on the geometry primitives.
Sensor models (engeom.sensors): pinhole camera and laser profile sensors.
Plotting helpers (engeom.plot): convenience adapters for visualizing engeom types.

Numpy at the boundary

Array-shaped data crosses the Rust/Python boundary as numpy arrays rather than lists of objects. Points and vectors are shaped (n, 2) or (n, 3) with dtype float64, and face/index arrays use unsigned integer dtypes such as uint32. This matters for both the API shape and for performance.

Documentation

Combined documentation for the Rust and Python APIs is built with mdBook from the book/ directory of the repository.

License

Licensed under either of Apache License, Version 2.0 or MIT license at your option.

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