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
The package is published on PyPI as svv:
pip install svvIf you are installing into an existing environment and hit NumPy ABI errors such as
_ARRAY_API not found or numpy.core.multiarray failed to import, reinstall in a
clean environment with NumPy 1.x:
python -m pip install --upgrade pip
python -m pip install --force-reinstall "numpy<2" svvOn 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.