Metadata-Version: 2.1
Name: svcco
Version: 0.5.52
Summary: Automated Vascular Generation and CFD Simulation
Home-page: https://zasexton.github.io/svcco/
Author: Zachary Sexton
Author-email: zsexton@stanford.edu
License: MIT
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.txt

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[![Platform](https://img.shields.io/badge/platform-linux--64%20%7C%20win--32%20%7C%20osx--64%20%7C%20win--64-lightgrey)]()
(https://github.com/zasexton/svcco)
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Synthetic Vascular Optimization (SVO) 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. SVCCO 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.
