Skip to main content

svVascularize

Version PyPI downloads Platform Latest Release codecov DOI Docs Telemetry Basic smoke test

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.

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.

Release files for svv-accelerated 0.0.55

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for svv-accelerated 0.0.55
File
svv_accelerated-0.0.55-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
svv_accelerated-0.0.55-cp313-cp313-musllinux_1_2_x86_64.whl CPython 3.13 CPython 3.13 Linux musl 1.2+ x86-64 Details
svv_accelerated-0.0.55-cp313-cp313-musllinux_1_2_aarch64.whl CPython 3.13 CPython 3.13 Linux musl 1.2+ ARM64 Details
svv_accelerated-0.0.55-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details
svv_accelerated-0.0.55-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64 Details
svv_accelerated-0.0.55-cp313-cp313-macosx_10_13_universal2.whl CPython 3.13 CPython 3.13 macOS 10.13+ universal2 (ARM64, x86-64) Details
svv_accelerated-0.0.55-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details
svv_accelerated-0.0.55-cp312-cp312-musllinux_1_2_x86_64.whl CPython 3.12 CPython 3.12 Linux musl 1.2+ x86-64 Details
svv_accelerated-0.0.55-cp312-cp312-musllinux_1_2_aarch64.whl CPython 3.12 CPython 3.12 Linux musl 1.2+ ARM64 Details
svv_accelerated-0.0.55-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64 Details
svv_accelerated-0.0.55-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ ARM64, Linux glibc 2.24+ ARM64 Details
svv_accelerated-0.0.55-cp312-cp312-macosx_10_13_universal2.whl CPython 3.12 CPython 3.12 macOS 10.13+ universal2 (ARM64, x86-64) Details
svv_accelerated-0.0.55-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details
svv_accelerated-0.0.55-cp311-cp311-musllinux_1_2_x86_64.whl CPython 3.11 CPython 3.11 Linux musl 1.2+ x86-64 Details
svv_accelerated-0.0.55-cp311-cp311-musllinux_1_2_aarch64.whl CPython 3.11 CPython 3.11 Linux musl 1.2+ ARM64 Details
svv_accelerated-0.0.55-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details
svv_accelerated-0.0.55-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64 Details
svv_accelerated-0.0.55-cp311-cp311-macosx_10_9_universal2.whl CPython 3.11 CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64) Details
svv_accelerated-0.0.55-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details
svv_accelerated-0.0.55-cp310-cp310-musllinux_1_2_x86_64.whl CPython 3.10 CPython 3.10 Linux musl 1.2+ x86-64 Details
svv_accelerated-0.0.55-cp310-cp310-musllinux_1_2_aarch64.whl CPython 3.10 CPython 3.10 Linux musl 1.2+ ARM64 Details
svv_accelerated-0.0.55-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details
svv_accelerated-0.0.55-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64 Details
svv_accelerated-0.0.55-cp310-cp310-macosx_10_9_universal2.whl CPython 3.10 CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64) Details
svv_accelerated-0.0.55-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details
svv_accelerated-0.0.55-cp39-cp39-musllinux_1_2_x86_64.whl CPython 3.9 CPython 3.9 Linux musl 1.2+ x86-64 Details
svv_accelerated-0.0.55-cp39-cp39-musllinux_1_2_aarch64.whl CPython 3.9 CPython 3.9 Linux musl 1.2+ ARM64 Details
svv_accelerated-0.0.55-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 Details
svv_accelerated-0.0.55-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl CPython 3.9 CPython 3.9 Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64 Details
svv_accelerated-0.0.55-cp39-cp39-macosx_10_9_universal2.whl CPython 3.9 CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64) Details

Total release size: 184.1 MB

Release files / svv_accelerated-0.0.55-cp313-cp313-win_amd64.whl

Download URL svv_accelerated-0.0.55-cp313-cp313-win_amd64.whl
Size 1.2 MB
Tags CPython 3.13 Windows x86-64
SHA-256 checksum
How to use checksums
ac759f8ec82961bdd8b3f99eff85b1731a31686a0a14881856628a0aedd62e76
BLAKE2b-256 checksum
How to use checksums
72349fd6de6474198d76c287900f0128b3c8d723ffaa5067f20aeeef96a36e67
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-0.0.55-cp313-cp313-musllinux_1_2_x86_64.whl

Download URL svv_accelerated-0.0.55-cp313-cp313-musllinux_1_2_x86_64.whl
Size 9.0 MB
Tags CPython 3.13 Linux musl 1.2+ x86-64
SHA-256 checksum
How to use checksums
d9d71a4e7c68987dd765ff1667c3705b3718776e422713fd82b1ae887f098b43
BLAKE2b-256 checksum
How to use checksums
898038de7806497f86dc21af26d52d172230a516e81744cb0ab205918f5ab5fe
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-0.0.55-cp313-cp313-musllinux_1_2_aarch64.whl

Download URL svv_accelerated-0.0.55-cp313-cp313-musllinux_1_2_aarch64.whl
Size 8.6 MB
Tags CPython 3.13 Linux musl 1.2+ ARM64
SHA-256 checksum
How to use checksums
af6920dbf58610f85475e41e10b8ceadc3e361b8d3998f383ad133d7ecfd2b5e
BLAKE2b-256 checksum
How to use checksums
86760bf1950dd2d90420e8f9af05f0494262ca564469ef6c385686358cd5d941
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-0.0.55-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL svv_accelerated-0.0.55-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Size 8.0 MB
Tags CPython 3.13 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
e7d2a74f4c54e2ee6f952b612268f448cf5b11ca77c5772dd40262167f432a1b
BLAKE2b-256 checksum
How to use checksums
e1a03af2ee7407b3dc7799c14e91f043c35b48b089353ecf7253ef7646c3bcf8
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-0.0.55-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

Download URL svv_accelerated-0.0.55-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Size 7.8 MB
Tags CPython 3.13 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
6797ca0cc4a1f6cb38376ca5fb40b8c3daac75ae8f34087c811942cc606f0e0f
BLAKE2b-256 checksum
How to use checksums
44c8d5fa4cf9f6fef12099448bcecd59fbabee13fb243817a492878746e2259a
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-0.0.55-cp313-cp313-macosx_10_13_universal2.whl

Download URL svv_accelerated-0.0.55-cp313-cp313-macosx_10_13_universal2.whl
Size 2.3 MB
Tags CPython 3.13 macOS 10.13+ universal2 (ARM64, x86-64)
SHA-256 checksum
How to use checksums
ff2a46cfb545a3fca6844b7f9203dc841e398627cd6d7d138027fadee0a1f128
BLAKE2b-256 checksum
How to use checksums
3186cfc16bf5fac7aaf0e0a8e58757de3f576d77a0ababa733577e28c0b619f9
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-0.0.55-cp312-cp312-win_amd64.whl

Download URL svv_accelerated-0.0.55-cp312-cp312-win_amd64.whl
Size 1.2 MB
Tags CPython 3.12 Windows x86-64
SHA-256 checksum
How to use checksums
3eda998ae34d40f04282d8a8902fbcdcb1d86a2f6bfb13c777dd0a6141114b9b
BLAKE2b-256 checksum
How to use checksums
50f5ce955af5ad6f782d091b69a1e2d2bd452225212650a0570dc27f54a836cc
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-0.0.55-cp312-cp312-musllinux_1_2_x86_64.whl

Download URL svv_accelerated-0.0.55-cp312-cp312-musllinux_1_2_x86_64.whl
Size 9.0 MB
Tags CPython 3.12 Linux musl 1.2+ x86-64
SHA-256 checksum
How to use checksums
1880c526082c8c812f2ab094fcc1f221ed27daec3cd5bf4d618989c89c25a6d8
BLAKE2b-256 checksum
How to use checksums
14e6c2a5070f28d223a8cc67a610763d70b9dab1f00ef7504925e0b8b2618323
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-0.0.55-cp312-cp312-musllinux_1_2_aarch64.whl

Download URL svv_accelerated-0.0.55-cp312-cp312-musllinux_1_2_aarch64.whl
Size 8.7 MB
Tags CPython 3.12 Linux musl 1.2+ ARM64
SHA-256 checksum
How to use checksums
94696e7c8c695206c7c61275838a9a85396666313dd44d527ddee71dc1dc2fc4
BLAKE2b-256 checksum
How to use checksums
f53b4d4b1b216a18fb8c8448669e83ab9528c00c7b917cb91f3207761436e4d6
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-0.0.55-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL svv_accelerated-0.0.55-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Size 8.0 MB
Tags CPython 3.12 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
d6e560c1e57c4ac653de9ac4c82149700f27b2f74a691d7a8279efa442ea9a00
BLAKE2b-256 checksum
How to use checksums
258e7426e6afd00680dd1c9c0ac1d49437bf3b31a2b23c67dbf96aebaac12a5d
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-0.0.55-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

Download URL svv_accelerated-0.0.55-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Size 7.8 MB
Tags CPython 3.12 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
c360867de09d79a89cbc8a980a9833d46b81cb72602441233422d02a357959a1
BLAKE2b-256 checksum
How to use checksums
627354a526080b65dfe77e23a2df25a7e5c6c74bd55ab3fd915fe5c59b0c9431
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-0.0.55-cp312-cp312-macosx_10_13_universal2.whl

Download URL svv_accelerated-0.0.55-cp312-cp312-macosx_10_13_universal2.whl
Size 2.3 MB
Tags CPython 3.12 macOS 10.13+ universal2 (ARM64, x86-64)
SHA-256 checksum
How to use checksums
acfcbb788252457d5305e0bb7b33265609bd6abf27bbdb623bdb030fd22a9a32
BLAKE2b-256 checksum
How to use checksums
6bc0b280eb9e0f5bb347e586989c380e4be99541ce01e486964f774481887f1e
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-0.0.55-cp311-cp311-win_amd64.whl

Download URL svv_accelerated-0.0.55-cp311-cp311-win_amd64.whl
Size 1.2 MB
Tags CPython 3.11 Windows x86-64
SHA-256 checksum
How to use checksums
86b1a5b812dedf16626e978fb63e1a90e45e6cbd6964fa07efef40c456f845f9
BLAKE2b-256 checksum
How to use checksums
e1be8c0d37af69520af769be9582624c4b8ae3320c098192b58d46dad6601fb9
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-0.0.55-cp311-cp311-musllinux_1_2_x86_64.whl

Download URL svv_accelerated-0.0.55-cp311-cp311-musllinux_1_2_x86_64.whl
Size 9.2 MB
Tags CPython 3.11 Linux musl 1.2+ x86-64
SHA-256 checksum
How to use checksums
6c567a42e55a686d09fb4d91b6a9135a8f813ce73428c565af7de3e36cd03cba
BLAKE2b-256 checksum
How to use checksums
2f42ce78b7688a55667eecafaf54bd9d84f9a778ddbd8d8753879a3cb26280cb
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-0.0.55-cp311-cp311-musllinux_1_2_aarch64.whl

Download URL svv_accelerated-0.0.55-cp311-cp311-musllinux_1_2_aarch64.whl
Size 8.9 MB
Tags CPython 3.11 Linux musl 1.2+ ARM64
SHA-256 checksum
How to use checksums
54b032dfc8402fc9085e3e62caa6154c5dd52b75b94e5e8f6273511574d08e99
BLAKE2b-256 checksum
How to use checksums
e548bc35d1734e98895ad6f2bbede652606fc9b984d30871f19451b9f560b2e0
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-0.0.55-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL svv_accelerated-0.0.55-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Size 8.1 MB
Tags CPython 3.11 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
c7e6f4c50a4e98b59dc36fcade6c21b5dd11bcaaff0af5592e56d8e228d34bb2
BLAKE2b-256 checksum
How to use checksums
04cdbe68b68474c576ab7bfda59cb16bf4cc4da752135d32c72d9cd8cfcbc8a4
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-0.0.55-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

Download URL svv_accelerated-0.0.55-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Size 8.0 MB
Tags CPython 3.11 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
4e64d47f893ff756f6b278029d24b3262ab71bb997f8ed74ac907871a8aa31b0
BLAKE2b-256 checksum
How to use checksums
dffac296c27e50dfbbf4606e322dc8ba2ff0883b5a6ef80cd6d275d173ed67e2
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-0.0.55-cp311-cp311-macosx_10_9_universal2.whl

Download URL svv_accelerated-0.0.55-cp311-cp311-macosx_10_9_universal2.whl
Size 2.2 MB
Tags CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)
SHA-256 checksum
How to use checksums
85b294192aa685ffbc3c069aa5c6139ff7327184db17fe80ba745f3bb797c823
BLAKE2b-256 checksum
How to use checksums
8ea5bd8c27ea51456d59839e1ed5eb687c71ac4e45cf59598ab98a4960ef788b
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-0.0.55-cp310-cp310-win_amd64.whl

Download URL svv_accelerated-0.0.55-cp310-cp310-win_amd64.whl
Size 1.2 MB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
429a566bb834ff4624c5193a819eef2ef7d9feced75c8aafeb41cc85d0709e9a
BLAKE2b-256 checksum
How to use checksums
0987015b1029580e1fc85cf26eca3a89a7770995db4963bf1d13469401fdf646
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-0.0.55-cp310-cp310-musllinux_1_2_x86_64.whl

Download URL svv_accelerated-0.0.55-cp310-cp310-musllinux_1_2_x86_64.whl
Size 8.9 MB
Tags CPython 3.10 Linux musl 1.2+ x86-64
SHA-256 checksum
How to use checksums
6ba45906e87cbc4dac056c7337db7ac9ae96d5a00d9660271d28b295e1b2bcc2
BLAKE2b-256 checksum
How to use checksums
c7291c54096e7eb291db461c06b2dfff3a69a21afb525081b3c53148326e5b0b
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-0.0.55-cp310-cp310-musllinux_1_2_aarch64.whl

Download URL svv_accelerated-0.0.55-cp310-cp310-musllinux_1_2_aarch64.whl
Size 8.6 MB
Tags CPython 3.10 Linux musl 1.2+ ARM64
SHA-256 checksum
How to use checksums
d42128da6538f5e2d0c84bba0f4b346f0b21641acd0a654529620883624996d2
BLAKE2b-256 checksum
How to use checksums
f60213fcb7fb74ef873d7aed2b9d797d46d2798d17d532b980d0148ab3442840
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-0.0.55-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL svv_accelerated-0.0.55-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Size 7.8 MB
Tags CPython 3.10 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum
How to use checksums
347b8781005b1bdfdbc6d6bb697cbc28779743c951aedc42bd36625da2b507d4
BLAKE2b-256 checksum
How to use checksums
54674951f06264cc6154f50d1dbd7ddc17c20c80b5e2175713bed6e071dfdf62
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-0.0.55-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

Download URL svv_accelerated-0.0.55-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Size 7.7 MB
Tags CPython 3.10 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64
SHA-256 checksum
How to use checksums
21ffaf12b03f212d4fbe44e1a678d7d2100029db438c1452e13b320706e74cf3
BLAKE2b-256 checksum
How to use checksums
ee2477c83335b82eff4e0bb5d745148ff694f95ea7448dbb2658f20b92290276
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-0.0.55-cp310-cp310-macosx_10_9_universal2.whl

Download URL svv_accelerated-0.0.55-cp310-cp310-macosx_10_9_universal2.whl
Size 2.3 MB
Tags CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)
SHA-256 checksum
How to use checksums
4a5738a6497a3c87d25187ed4f2f11775807ba5150283e9f7cc709e50160c438
BLAKE2b-256 checksum
How to use checksums
ab94268810b3e292e13fbc93942c70032b7c287b7a8e34a8a350d69a52567753
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-0.0.55-cp39-cp39-win_amd64.whl

Download URL svv_accelerated-0.0.55-cp39-cp39-win_amd64.whl
Size 1.2 MB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
bdba164713ae56d2ad1f6b8600c8543568bb2f8e6678e656c7c5efe7903baf06
BLAKE2b-256 checksum
How to use checksums
b5406dbd8bb5253743f1ffeab3dd5539126666d65b8c84c4b34d8cc4ae8562f3
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-0.0.55-cp39-cp39-musllinux_1_2_x86_64.whl

Download URL svv_accelerated-0.0.55-cp39-cp39-musllinux_1_2_x86_64.whl
Size 8.9 MB
Tags CPython 3.9 Linux musl 1.2+ x86-64
SHA-256 checksum
How to use checksums
e1df87e5508816149b87cca3469ebb12863020269b7ff554cd324db9188e4201
BLAKE2b-256 checksum
How to use checksums
6b541faf0f5fa16890cc5e3ffbb370f55a6cd3c770a56934e6c7f1142b44a11a
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-0.0.55-cp39-cp39-musllinux_1_2_aarch64.whl

Download URL svv_accelerated-0.0.55-cp39-cp39-musllinux_1_2_aarch64.whl
Size 8.6 MB
Tags CPython 3.9 Linux musl 1.2+ ARM64
SHA-256 checksum
How to use checksums
1d8a884e26fbfe48717a561cbfa2cafea848f5bc8c42ede49f77f41d4f3e2e67
BLAKE2b-256 checksum
How to use checksums
8e7e60337556153b578e8aae6f63b272ce75c27a4a6d43bd8592a924e4af4211
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-0.0.55-cp39-cp39-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL svv_accelerated-0.0.55-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
SHA-256 checksum
How to use checksums
59a0b5d199dca2d97e907075daddb51b09aa1e37e7e01160ce224a2a752e1d9e
BLAKE2b-256 checksum
How to use checksums
11cdc3d435ff6c12897e67f77351b6104e0d73712a8cdb045f7062d7b0dee8d0
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-0.0.55-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

Download URL svv_accelerated-0.0.55-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
SHA-256 checksum
How to use checksums
94896ce978c6fafda0faf2456f5cca50b8f6fbc1cdb9606ea09371486b8b53d4
BLAKE2b-256 checksum
How to use checksums
d75c19bb06e6ac941b8906bdfb493590615a2acf385fb930eaac306be72bba26
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-0.0.55-cp39-cp39-macosx_10_9_universal2.whl

Download URL svv_accelerated-0.0.55-cp39-cp39-macosx_10_9_universal2.whl
Size 2.3 MB
Tags CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)
SHA-256 checksum
How to use checksums
3007cc4f287733ddc9eb551f3697221d34ebd4a30fec18f43f9a0fd8a3535451
BLAKE2b-256 checksum
How to use checksums
e492c65c55ec8610d3dd00df590aea408acbc4c6941106e8da5cf9e31304145f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.14

Release history Release notifications | RSS feed

This release

0.0.55 This release

30 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page