This project aims to implement Non-Uniform Rational B-Spline (NURBS) curve and surface computation algorithms in native Python with minimum possible dependencies. The library is fully object-oriented and does not depend on any external C/C++ libraries.

The package contains 3 modules:

• BSpline contains Non-Uniform B-Spline (NUBS) evaluation and storage functionality
• NURBS contains Non-Uniform Rational B-Spline (NURBS) evaluation and storage functionality
• CPGen contains simple control points grid generation algorithms

BSpline and NURBS modules contain 3 classes for geometric evaluation:

• Curve for evaluating 3D curves
• Curve2D for evaluating 2D curves
• Surface for evaluating surfaces

CPGen module contains 2 classes for grid generation:

• Grid for generating inputs for BSpline.Surface class
• GridWeighted for generating inputs for NURBS.Surface class

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Included setup.py script will take care of the installation and automatically copy the required files to site-packages directory. Please run the following from the command line:

python setup.py install

If you don't want to put the files into your Python distribution's site-packages directory for some reason, you can run

python setup.py develop

from the command line to generate a link to the package directory inside site-packages.

Please see NURBS-Python Examples repository for examples.

NURBS-Python is a high-level Python library following the object-oriented design principles. In its core, it implements the algorithms from The NURBS Book (2nd Edition) by Piegl & Tiller and combines these algorithms with other useful features. Please see the documentation for function reference and how to use the library: http://nurbs-python.rtfd.org

Please use the issue tracker for reporting bugs and other related issues.

If you have any questions or comments related to the NURBS-Python package, please don't hesitate to contact the developers by email.

• Onur Rauf Bingol (@orbingol)

I would like to thank all contributors for their help and support in testing, bug fixing and improvement of the NURBS-Python project.

• Luke Frisken (@kellpossible)
• John-Eric Dufour (@jedufour)
• Jan Heczko (@heczis)

NURBS-Python is licensed under The MIT License.

I would like to thank my PhD adviser, Dr. Adarsh Krishnamurthy, for his guidance and supervision throughout the course of this project.