svVascularize (svv): A synthetic vascular generation, modeling, and simulation package

These details have not been verified by PyPI

Project description

svVascularize

Platform Latest Release

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.

Project details

These details have not been verified by PyPI

Release history Release notifications | RSS feed

0.0.48

Mar 14, 2026

This version

0.0.47

Mar 14, 2026

0.0.46

Mar 13, 2026

0.0.45

Mar 12, 2026

0.0.44

Feb 24, 2026

0.0.43

Jan 29, 2026

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

svv_accelerated-0.0.47-cp313-cp313-win_amd64.whl (937.4 kB view details)

Uploaded Mar 14, 2026 CPython 3.13Windows x86-64

svv_accelerated-0.0.47-cp313-cp313-musllinux_1_2_x86_64.whl (8.7 MB view details)

Uploaded Mar 14, 2026 CPython 3.13musllinux: musl 1.2+ x86-64

svv_accelerated-0.0.47-cp313-cp313-musllinux_1_2_aarch64.whl (8.3 MB view details)

Uploaded Mar 14, 2026 CPython 3.13musllinux: musl 1.2+ ARM64

svv_accelerated-0.0.47-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (7.7 MB view details)

Uploaded Mar 14, 2026 CPython 3.13manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

svv_accelerated-0.0.47-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (7.4 MB view details)

Uploaded Mar 14, 2026 CPython 3.13manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

svv_accelerated-0.0.47-cp313-cp313-macosx_10_13_universal2.whl (2.1 MB view details)

Uploaded Mar 14, 2026 CPython 3.13macOS 10.13+ universal2 (ARM64, x86-64)

svv_accelerated-0.0.47-cp312-cp312-win_amd64.whl (939.9 kB view details)

Uploaded Mar 14, 2026 CPython 3.12Windows x86-64

svv_accelerated-0.0.47-cp312-cp312-musllinux_1_2_x86_64.whl (8.6 MB view details)

Uploaded Mar 14, 2026 CPython 3.12musllinux: musl 1.2+ x86-64

svv_accelerated-0.0.47-cp312-cp312-musllinux_1_2_aarch64.whl (8.3 MB view details)

Uploaded Mar 14, 2026 CPython 3.12musllinux: musl 1.2+ ARM64

svv_accelerated-0.0.47-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (7.6 MB view details)

Uploaded Mar 14, 2026 CPython 3.12manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

svv_accelerated-0.0.47-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (7.4 MB view details)

Uploaded Mar 14, 2026 CPython 3.12manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

svv_accelerated-0.0.47-cp312-cp312-macosx_10_13_universal2.whl (2.1 MB view details)

Uploaded Mar 14, 2026 CPython 3.12macOS 10.13+ universal2 (ARM64, x86-64)

svv_accelerated-0.0.47-cp311-cp311-win_amd64.whl (929.5 kB view details)

Uploaded Mar 14, 2026 CPython 3.11Windows x86-64

svv_accelerated-0.0.47-cp311-cp311-musllinux_1_2_x86_64.whl (8.8 MB view details)

Uploaded Mar 14, 2026 CPython 3.11musllinux: musl 1.2+ x86-64

svv_accelerated-0.0.47-cp311-cp311-musllinux_1_2_aarch64.whl (8.4 MB view details)

Uploaded Mar 14, 2026 CPython 3.11musllinux: musl 1.2+ ARM64

svv_accelerated-0.0.47-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (7.7 MB view details)

Uploaded Mar 14, 2026 CPython 3.11manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

svv_accelerated-0.0.47-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (7.5 MB view details)

Uploaded Mar 14, 2026 CPython 3.11manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

svv_accelerated-0.0.47-cp311-cp311-macosx_10_9_universal2.whl (2.1 MB view details)

Uploaded Mar 14, 2026 CPython 3.11macOS 10.9+ universal2 (ARM64, x86-64)

svv_accelerated-0.0.47-cp310-cp310-win_amd64.whl (932.5 kB view details)

Uploaded Mar 14, 2026 CPython 3.10Windows x86-64

svv_accelerated-0.0.47-cp310-cp310-musllinux_1_2_x86_64.whl (8.4 MB view details)

Uploaded Mar 14, 2026 CPython 3.10musllinux: musl 1.2+ x86-64

svv_accelerated-0.0.47-cp310-cp310-musllinux_1_2_aarch64.whl (8.1 MB view details)

Uploaded Mar 14, 2026 CPython 3.10musllinux: musl 1.2+ ARM64

svv_accelerated-0.0.47-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (7.3 MB view details)

Uploaded Mar 14, 2026 CPython 3.10manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

svv_accelerated-0.0.47-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (7.2 MB view details)

Uploaded Mar 14, 2026 CPython 3.10manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

svv_accelerated-0.0.47-cp310-cp310-macosx_10_9_universal2.whl (2.1 MB view details)

Uploaded Mar 14, 2026 CPython 3.10macOS 10.9+ universal2 (ARM64, x86-64)

svv_accelerated-0.0.47-cp39-cp39-win_amd64.whl (936.1 kB view details)

Uploaded Mar 14, 2026 CPython 3.9Windows x86-64

svv_accelerated-0.0.47-cp39-cp39-musllinux_1_2_x86_64.whl (8.4 MB view details)

Uploaded Mar 14, 2026 CPython 3.9musllinux: musl 1.2+ x86-64

svv_accelerated-0.0.47-cp39-cp39-musllinux_1_2_aarch64.whl (8.1 MB view details)

Uploaded Mar 14, 2026 CPython 3.9musllinux: musl 1.2+ ARM64

svv_accelerated-0.0.47-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (7.3 MB view details)

Uploaded Mar 14, 2026 CPython 3.9manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

svv_accelerated-0.0.47-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (7.2 MB view details)

Uploaded Mar 14, 2026 CPython 3.9manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

svv_accelerated-0.0.47-cp39-cp39-macosx_10_9_universal2.whl (2.1 MB view details)

Uploaded Mar 14, 2026 CPython 3.9macOS 10.9+ universal2 (ARM64, x86-64)

File details

Details for the file svv_accelerated-0.0.47-cp313-cp313-win_amd64.whl.

File metadata

Download URL: svv_accelerated-0.0.47-cp313-cp313-win_amd64.whl
Upload date: Mar 14, 2026
Size: 937.4 kB
Tags: CPython 3.13, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for svv_accelerated-0.0.47-cp313-cp313-win_amd64.whl
Algorithm	Hash digest
SHA256	`5c5730be698c53d7fab0d4e17fae91edb8a17dcbe7653fc37abfba36a97b0487`
MD5	`57bbb9a6f27ef7194e482cfe0e36912e`
BLAKE2b-256	`8891ac27b75d314f95e486714c78d45ead286c2f9a668e3eed3795f445b4a546`

Algorithm	Hash digest
SHA256	`af9fca08f6adc97ffba9437dc71f577b907bbe4501f599012cda47de736bec49`
MD5	`b8702bb1f9e6ac1f764785af26087201`
BLAKE2b-256	`d64c0ff58e5acf7c4d85f8851148de0a655f3099da8bce6b1866b36d0f78b17e`

Algorithm	Hash digest
SHA256	`7d0f975ee5a3b3c8b54fd7440a956ae41cb9ad0dbf0528d6892110e38b0bac25`
MD5	`aa83ae949097f36573b30d59057d9cc8`
BLAKE2b-256	`66f1c95d856e16d841302ea1aaaf762fe226d4b2018d64cfea9cc6f9f74581b9`

Algorithm	Hash digest
SHA256	`d8a43dfdf2247f2aee28df03c98a46d45cbac8664a91e74e65e4101f78c65ec2`
MD5	`a34f856c373e8d8c41b7d4c11fb94564`
BLAKE2b-256	`2c8bb7477e7f19c3f98436d659f70880b2a377d85c68d01f7705f28f331c8c3b`

Algorithm	Hash digest
SHA256	`97df3f1df22a69d8f07ebceae9773a534b8971a419a0ba3d461e1212da0913a1`
MD5	`fcde3224c81d14d7dd42a5530a74f7e5`
BLAKE2b-256	`38105cb97a89a167422409a575d554079d06d99d36e5c28546973a9edd5756bc`

Algorithm	Hash digest
SHA256	`12e1d87f371ada734f79349facf4d166ec596ca5dd67728cb8a71e1461daf0a7`
MD5	`eb0d64fd50527615c9d6b3d30dfbb986`
BLAKE2b-256	`432a1cbf6e06e4264ed415c9d60408dfec2b242808c75a14893495b576fc3861`

Algorithm	Hash digest
SHA256	`e5a3bfe86c2fe663ef3a34269dd6f6125809dd94f7e89498ba231d40546863c4`
MD5	`9e496532c5bc8b87f512891f339629e8`
BLAKE2b-256	`77c9868f7affacef8f7c06b04b6979bd1943e547dea5a5f040f4a18093045c84`

Algorithm	Hash digest
SHA256	`aaf4d5622252ce04743e0da53886524ecd3f6fe223104ed9b5fe55d0d703b483`
MD5	`592151107bcebde1143a496c59c645e2`
BLAKE2b-256	`c325152288654be5935fdc2dd7c071347aa06b55610667649b9da5fc4aee550d`

Algorithm	Hash digest
SHA256	`41a2a8262b2f186ea09f0c4fc620c89737208c5debec5c43cd69ba586c4d7876`
MD5	`49efe81fc4d95f6f99d8c6fb3b83c946`
BLAKE2b-256	`4a98a6d1bd9390b076fd9d3525ec771045f4f92350f096b92fdf26700fbadcdc`

Algorithm	Hash digest
SHA256	`d8c4b9753c289417d96a803f908662361c9720ffcf5e78e1536121819ad28221`
MD5	`8aa018e6121ada8ea237d5e11bdef039`
BLAKE2b-256	`a2432efb5387174df9638b7d037a6f4d5331102c3386cb4e300e1ece4a03d608`

Algorithm	Hash digest
SHA256	`b48401dc832103084478b172d3194c4e39ec6120495c780e159391434725851e`
MD5	`3e6e5232f98283c69f1e23b010848e3c`
BLAKE2b-256	`d9b01869df9f14cae68f2a7e44548bc6c365249b9f9b69b45e381f0c7af1e406`

Algorithm	Hash digest
SHA256	`2ab0074ab14e71fb7913f03992a28e16bba40c8ee00d7cf00b56c1b747f06a9f`
MD5	`f2943a8cd974da673e47def97795866d`
BLAKE2b-256	`5c221ffb271f62d3b2f6c9c0b7ce875eb1931949ee97d3f8a36a0f6c59b7cd93`

Algorithm	Hash digest
SHA256	`0a3249d5e93b6e1023d217198d95368fd26e22c93b4f5ca800bee4fc7e08f214`
MD5	`5a6716a7dfd3e2231b18a209dda67340`
BLAKE2b-256	`ddb65264583df6d8f9d937e034c47ee6e8e993a68b191bb0b1edaaecc09ec83c`

Algorithm	Hash digest
SHA256	`353d4a23dd9e45814b965f2cf19a8640f0e320da98244f83282bb2fd0a13d56f`
MD5	`023282bd8178f6689494a9e9599b20cf`
BLAKE2b-256	`1f366a8c94ca16f467beb5cfc5b7817a0104557a7931f399fb3183c03225c1fb`

Algorithm	Hash digest
SHA256	`b4c3877e92980171865e6ef49602852316b0123b02f5df76e72157f7e753cc9e`
MD5	`ceb857c80a17276503eaef8e5e4f02b5`
BLAKE2b-256	`701dc2f63608ed1ebf083af9b9c0fcf8f118d37e0a94f9a2a45c5eeaf874cf72`

Algorithm	Hash digest
SHA256	`1ee594a2b705087904074195b2e0557feccac701ee4fc8d6fb9e76a421d0fa21`
MD5	`ab5a7e0654f78b7b7e72480091cc9dae`
BLAKE2b-256	`42d92b93fe038646561631b12b1fd05a2c3c6d5ba1ede78dbb42e466053c4e70`

Algorithm	Hash digest
SHA256	`5a0fff8db79f2bd002f49755ef35207bcedb9e0d8b098f4c79baecfd97e09af8`
MD5	`9aea15d563db18e85e3fde882251b91d`
BLAKE2b-256	`a0c2ad76533c18cca7802aa9e5001030a6ce26fc886207ff7e09827de8bea062`

Algorithm	Hash digest
SHA256	`d75c95d6a7c9f8bd8528f7cd887807ab8ba1f2451c7224618dd8749a398f0d84`
MD5	`377361419440432a10fb9b5044a95ea4`
BLAKE2b-256	`487d028291b3e53597cf1ef4751c63738d8998765eda61da6dd77360120149d5`

Algorithm	Hash digest
SHA256	`8bb5ce3aeb89390db830a653ac14bb76ecc4641862e1353df55f3028b9528168`
MD5	`d4aed192d4fb6df7379bc0136d7c72c3`
BLAKE2b-256	`cb0ada9f3eb82cd4838daf1e3414be49917f15564ac20686c84dc71d7458957b`

Algorithm	Hash digest
SHA256	`8ac9a27452daa9e12f509f84f4c2a0a29a3bb0e824cf92b33d0648cd16904b9f`
MD5	`4ea64a238d50da72eeceec0e3d6b5646`
BLAKE2b-256	`3845e4c8aebe1bdc4b822a685432fe9396d717a24e70c818d3aae87d55eb9309`

Algorithm	Hash digest
SHA256	`ed4bbcdaaabb22015fe6afc75b87b03a2094810b1a40cf3fa7ebb83008346955`
MD5	`f56260cf1fa9ba663923b4dd4a8f0115`
BLAKE2b-256	`3ef70f8005a18cb71ec8f6fe291819fac660cf76543b815375bb4b13bd097ab4`

svv-accelerated 0.0.47

Navigation

Verified details

Maintainers

Unverified details

Meta

Classifiers

Project description

svVascularize

Installation

Project details

Verified details

Maintainers

Unverified details

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distributions

Built Distributions

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

Algorithm	Hash digest
SHA256	`171b0e61bdcf91c23f5dae661b8929081e3659faab00e1f2d2936cba3339900a`
MD5	`70aa6e0dc06d7eb509324606db4253ea`
BLAKE2b-256	`e47b074dd42a13d3f8ae5f0c919ab999a07809fa87a79507deb6e65f89c3d094`

Algorithm	Hash digest
SHA256	`c1893021d029290dcbebf1c3fffd5145fa93d5ac686e0ead11063bcef02d13f3`
MD5	`0de2b2ca8e558f0673360613a21823c6`
BLAKE2b-256	`b27e41f145a9a8bf86f48fcf2a8d3e5c15bb90e1ce03761dd08c113369f06bf4`

Algorithm	Hash digest
SHA256	`f1fd7567da5dc66e88930b57ae7895f599ccb421179813e20605632b8a3c01db`
MD5	`208c9e98c1cf68a5717fdb474709ab66`
BLAKE2b-256	`61b9b76ddc6cbc43bd034f5a63f2a231e64a2e2fe59fb96f334cbd32f642adf5`

Algorithm	Hash digest
SHA256	`ed0f2a853319baaaf879d3fec2a82a4a9321865411f6e1f310b975deeff3cf37`
MD5	`ea16565bf7971a897813043fff65b51b`
BLAKE2b-256	`b176ddac4f9b6925d0d975c0d04bf87a238b5cbd40613b8dce5597de6144a85b`

Algorithm	Hash digest
SHA256	`997424d0cee85eb35b41e38ee90b7205186213bbde3bab9615f180f951829787`
MD5	`f4110785f913b70f55f89e8957cf8769`
BLAKE2b-256	`86e60d3aa6be6005042a0269b16a5bb9503bd143027f04933bc4f2236db33fd8`

Algorithm	Hash digest
SHA256	`caa2a9ba7b202ed48272f1b2d6e948bc0a1c03fa0ba73323262d9524388a6d67`
MD5	`dd13ac6d547d6fe15f46cbfb058fd219`
BLAKE2b-256	`c5a7b6efdc6ae0de1015a4fd35522a6525aca72e39e95254e7788ea5dfcd7f63`

Algorithm	Hash digest
SHA256	`fc19b3a0901fa907ad88bf9c35b22af4d1a54827847d956684e70e3f70dd8577`
MD5	`f6847f3663cd1c502d610d375046ccee`
BLAKE2b-256	`3746199f0c86df83cb5c44925315c0da3b443fadbe912aa3f0448d6956bf2c47`

Algorithm	Hash digest
SHA256	`73ec3be6b112ed5afb6c36c1a0e5f9367e679d8e4a3eeb5fb71fdaf9fe4fe1d6`
MD5	`892f78d5cdc64161192455a20a2eb8b4`
BLAKE2b-256	`51d3c41f898c0688f02323a470f92365adfb840878f85974df6543397d0f18f3`

Algorithm	Hash digest
SHA256	`6b2acf1cf19b0c488b95d942000fc89fd96b4dfbf9361ea8f2004cdf86591e43`
MD5	`dd8fb12527aff801e35c077bbf741d2f`
BLAKE2b-256	`1d9736751448cf2f6cdcd0ab45ef43327a280f8c273483a7056c74f057ce18c4`