svVascularize (svv): A synthetic vascular generation, modeling, and simulation package
Project description
svVascularize
The svVascularize (svv) is an open-source API for automated vascular generation and multi-fidelity hemodynamic simulation written in Python. Often small-caliber vessels are difficult or infeasible to obtain from experimental data sources despite playing important roles in blood flow regulation and cell microenvironments. svVascularize aims to provide tissue engineers and computational hemodynamic scientists with de novo vasculature that can easily be applied in biomanufacturing applications or computational fluid dynamic (CFD) analysis.
- Website: https://simvascular.github.io/svVascularize/
- PyPi: https://pypi.org/project/svv/
- Source code: https://github.com/SimVascular/svVascularize
Installation
The package is published on PyPI as svv:
pip install svv
On clusters / HPC systems (for example Stanford Sherlock), use a recent Python (3.9–3.12) and pip, and install into a
clean virtual environment or user site-packages.
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