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
If 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, recreate the
environment with a NumPy version supported by your Python version. For Python
3.9–3.12, use NumPy 1.x:
python -m pip install --upgrade pip
python -m pip install --force-reinstall "numpy<2" svv
Python 3.13 requires NumPy 2.1 or newer:
python -m pip install --upgrade pip
python -m pip install --force-reinstall "numpy>=2.1" svv
On clusters / HPC systems (for example Stanford Sherlock), use a recent Python (3.9–3.13) and pip, and install into a
clean virtual environment or user site-packages.
Basic usage
Import the primary classes from the root package and supporting types from their public subpackages:
from svv import Domain, Forest, Simulation, Tree
from svv.domain import Patch
from svv.tree import TreeParameters, UnitSystem
dir(svv) lists the curated root API. Explicit imports are recommended for
application code, and existing deep import paths remain supported for
compatibility.
1 maintainer
Release files for svv-accelerated 0.0.56
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 184.1 MB
Release files / svv_accelerated-0.0.56-cp313-cp313-win_amd64.whl
| Download URL | svv_accelerated-0.0.56-cp313-cp313-win_amd64.whl |
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| Size | 1.2 MB |
| Tags | CPython 3.13 Windows x86-64 |
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twine/7.0.0 CPython/3.12.14
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Release files / svv_accelerated-0.0.56-cp313-cp313-musllinux_1_2_x86_64.whl
| Download URL | svv_accelerated-0.0.56-cp313-cp313-musllinux_1_2_x86_64.whl |
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| Size | 9.0 MB |
| Tags | CPython 3.13 Linux musl 1.2+ x86-64 |
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twine/7.0.0 CPython/3.12.14
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Release files / svv_accelerated-0.0.56-cp313-cp313-musllinux_1_2_aarch64.whl
| Download URL | svv_accelerated-0.0.56-cp313-cp313-musllinux_1_2_aarch64.whl |
|---|---|
| Size | 8.6 MB |
| Tags | CPython 3.13 Linux musl 1.2+ ARM64 |
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Release files / svv_accelerated-0.0.56-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
| Download URL | svv_accelerated-0.0.56-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl |
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| Size | 8.0 MB |
| Tags | CPython 3.13 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 |
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Release files / svv_accelerated-0.0.56-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
| Download URL | svv_accelerated-0.0.56-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl |
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| Size | 7.8 MB |
| Tags | CPython 3.13 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 |
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Release files / svv_accelerated-0.0.56-cp313-cp313-macosx_10_13_universal2.whl
| Download URL | svv_accelerated-0.0.56-cp313-cp313-macosx_10_13_universal2.whl |
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| Size | 2.3 MB |
| Tags | CPython 3.13 macOS 10.13+ universal2 (ARM64, x86-64) |
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Release files / svv_accelerated-0.0.56-cp312-cp312-win_amd64.whl
| Download URL | svv_accelerated-0.0.56-cp312-cp312-win_amd64.whl |
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| Size | 1.2 MB |
| Tags | CPython 3.12 Windows x86-64 |
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Release files / svv_accelerated-0.0.56-cp312-cp312-musllinux_1_2_x86_64.whl
| Download URL | svv_accelerated-0.0.56-cp312-cp312-musllinux_1_2_x86_64.whl |
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| Size | 9.0 MB |
| Tags | CPython 3.12 Linux musl 1.2+ x86-64 |
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Release files / svv_accelerated-0.0.56-cp312-cp312-musllinux_1_2_aarch64.whl
| Download URL | svv_accelerated-0.0.56-cp312-cp312-musllinux_1_2_aarch64.whl |
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| Size | 8.7 MB |
| Tags | CPython 3.12 Linux musl 1.2+ ARM64 |
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Release files / svv_accelerated-0.0.56-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
| Download URL | svv_accelerated-0.0.56-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl |
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| Size | 8.0 MB |
| Tags | CPython 3.12 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 |
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Release files / svv_accelerated-0.0.56-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
| Download URL | svv_accelerated-0.0.56-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl |
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| Tags | CPython 3.12 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 |
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Release files / svv_accelerated-0.0.56-cp312-cp312-macosx_10_13_universal2.whl
| Download URL | svv_accelerated-0.0.56-cp312-cp312-macosx_10_13_universal2.whl |
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| Tags | CPython 3.12 macOS 10.13+ universal2 (ARM64, x86-64) |
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Release files / svv_accelerated-0.0.56-cp311-cp311-win_amd64.whl
| Download URL | svv_accelerated-0.0.56-cp311-cp311-win_amd64.whl |
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| Size | 1.2 MB |
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Release files / svv_accelerated-0.0.56-cp311-cp311-musllinux_1_2_x86_64.whl
| Download URL | svv_accelerated-0.0.56-cp311-cp311-musllinux_1_2_x86_64.whl |
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| Size | 9.2 MB |
| Tags | CPython 3.11 Linux musl 1.2+ x86-64 |
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Release files / svv_accelerated-0.0.56-cp311-cp311-musllinux_1_2_aarch64.whl
| Download URL | svv_accelerated-0.0.56-cp311-cp311-musllinux_1_2_aarch64.whl |
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| Size | 8.9 MB |
| Tags | CPython 3.11 Linux musl 1.2+ ARM64 |
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Release files / svv_accelerated-0.0.56-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
| Download URL | svv_accelerated-0.0.56-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl |
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| Tags | CPython 3.11 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 |
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Release files / svv_accelerated-0.0.56-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
| Download URL | svv_accelerated-0.0.56-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl |
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| Tags | CPython 3.11 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 |
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Release files / svv_accelerated-0.0.56-cp311-cp311-macosx_10_9_universal2.whl
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Release files / svv_accelerated-0.0.56-cp310-cp310-win_amd64.whl
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Release files / svv_accelerated-0.0.56-cp310-cp310-musllinux_1_2_x86_64.whl
| Download URL | svv_accelerated-0.0.56-cp310-cp310-musllinux_1_2_x86_64.whl |
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| Size | 8.9 MB |
| Tags | CPython 3.10 Linux musl 1.2+ x86-64 |
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| Download URL | svv_accelerated-0.0.56-cp310-cp310-musllinux_1_2_aarch64.whl |
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| Size | 8.6 MB |
| Tags | CPython 3.10 Linux musl 1.2+ ARM64 |
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Release files / svv_accelerated-0.0.56-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
| Download URL | svv_accelerated-0.0.56-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl |
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| Size | 7.8 MB |
| Tags | CPython 3.10 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 |
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| Download URL | svv_accelerated-0.0.56-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl |
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| Size | 7.7 MB |
| Tags | CPython 3.10 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 |
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| Download URL | svv_accelerated-0.0.56-cp310-cp310-macosx_10_9_universal2.whl |
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| Size | 2.3 MB |
| Tags | CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64) |
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| Download URL | svv_accelerated-0.0.56-cp39-cp39-win_amd64.whl |
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| Size | 1.2 MB |
| Tags | CPython 3.9 Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Release files / svv_accelerated-0.0.56-cp39-cp39-musllinux_1_2_x86_64.whl
| Download URL | svv_accelerated-0.0.56-cp39-cp39-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 8.9 MB |
| Tags | CPython 3.9 Linux musl 1.2+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Release files / svv_accelerated-0.0.56-cp39-cp39-musllinux_1_2_aarch64.whl
| Download URL | svv_accelerated-0.0.56-cp39-cp39-musllinux_1_2_aarch64.whl |
|---|---|
| Size | 8.6 MB |
| Tags | CPython 3.9 Linux musl 1.2+ ARM64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Release files / svv_accelerated-0.0.56-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
| Download URL | svv_accelerated-0.0.56-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 7.8 MB |
| Tags | CPython 3.9 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Release files / svv_accelerated-0.0.56-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
| Download URL | svv_accelerated-0.0.56-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 7.6 MB |
| Tags | CPython 3.9 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
Release files / svv_accelerated-0.0.56-cp39-cp39-macosx_10_9_universal2.whl
| Download URL | svv_accelerated-0.0.56-cp39-cp39-macosx_10_9_universal2.whl |
|---|---|
| Size | 2.3 MB |
| Tags | CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64) |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.14
|
