Diffusion MRI Imaging in Python

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for arokem from gravatar.com arokem Avatar for garyfallidis from gravatar.com garyfallidis Avatar for matthew.brett from gravatar.com matthew.brett Avatar for skoudoro from gravatar.com skoudoro

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (Unless otherwise specified by LICENSE.txt files in individual directories, or within individual file...)
  • Author: DIPY developers
  • Maintainer: Eleftherios Garyfallidis
  • Tags dipy, diffusionimaging, dti, tracking, tractography, diffusionmri, mri, tractometry, connectomics, brain, dipymri, microstructure, deeplearning, registration, segmentations, simulation, medical, imaging, brain, machinelearning, signalprocessing
  • Requires: Python >=3.9
Classifiers

Project description

DIPY - Diffusion Imaging in Python

https://github.com/dipy/dipy/actions/workflows/test.yml/badge.svg?branch=master https://codecov.io/gh/dipy/dipy/branch/master/graph/badge.svg https://img.shields.io/pypi/v/dipy.svg https://anaconda.org/conda-forge/dipy/badges/platforms.svg https://anaconda.org/conda-forge/dipy/badges/downloads.svg https://img.shields.io/badge/License-BSD%203--Clause-blue.svg

DIPY [DIPYREF] is a python library for the analysis of MR diffusion imaging.

DIPY is for research only; please contact admins@dipy.org if you plan to deploy in clinical settings.

Website

Current information can always be found from the DIPY website - http://dipy.org

Mailing Lists

Please see the DIPY community list at https://mail.python.org/mailman3/lists/dipy.python.org/

Please see the users’ forum at https://github.com/dipy/dipy/discussions

Please join the gitter chatroom here.

Code

You can find our sources and single-click downloads:

Installing DIPY

DIPY can be installed using pip:

pip install dipy

or using conda:

conda install -c conda-forge dipy

For detailed installation instructions, including instructions for installing from source, please read our installation documentation.

Python versions and dependencies

DIPY follows the Scientific Python SPEC 0 — Minimum Supported Versions recommendation as closely as possible, including the supported Python and dependencies versions.

Further information can be found in Toolchain Roadmap.

License

DIPY is licensed under the terms of the BSD license. Please see the LICENSE file.

Contributing

We welcome contributions from the community. Please read our Contributing guidelines.

Reference

[DIPYREF]

E. Garyfallidis, M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, I. Nimmo-Smith and DIPY contributors, “DIPY, a library for the analysis of diffusion MRI data”, Frontiers in Neuroinformatics, vol. 8, p. 8, Frontiers, 2014.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for arokem from gravatar.com arokem Avatar for garyfallidis from gravatar.com garyfallidis Avatar for matthew.brett from gravatar.com matthew.brett Avatar for skoudoro from gravatar.com skoudoro

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (Unless otherwise specified by LICENSE.txt files in individual directories, or within individual file...)
  • Author: DIPY developers
  • Maintainer: Eleftherios Garyfallidis
  • Tags dipy, diffusionimaging, dti, tracking, tractography, diffusionmri, mri, tractometry, connectomics, brain, dipymri, microstructure, deeplearning, registration, segmentations, simulation, medical, imaging, brain, machinelearning, signalprocessing
  • Requires: Python >=3.9
Classifiers

Release history Release notifications | RSS feed

This version

1.9.0

1.8.0

1.7.0

1.6.0

1.5.0

1.4.1

1.4.0

1.3.0

1.2.0

1.1.1

1.1.0

1.0.0

0.16.0

0.15.0

0.14.0

0.13.0

0.12.0

0.11.0

0.10.1

0.9.2

0.9.1

0.9.0

0.8.0

0.7.1

0.7.0

0.6.0

0.5.0

Download files

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

Source Distribution

dipy-1.9.0.tar.gz (6.5 MB view details)

Uploaded Source

Built Distributions

dipy-1.9.0-cp312-cp312-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.12 Windows x86-64

dipy-1.9.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.0 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

dipy-1.9.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (8.7 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

dipy-1.9.0-cp312-cp312-macosx_11_0_arm64.whl (8.2 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

dipy-1.9.0-cp312-cp312-macosx_10_9_x86_64.whl (8.8 MB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

dipy-1.9.0-cp311-cp311-win_amd64.whl (8.3 MB view details)

Uploaded CPython 3.11 Windows x86-64

dipy-1.9.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.0 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

dipy-1.9.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (8.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

dipy-1.9.0-cp311-cp311-macosx_11_0_arm64.whl (8.2 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

dipy-1.9.0-cp311-cp311-macosx_10_9_x86_64.whl (8.8 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

dipy-1.9.0-cp310-cp310-win_amd64.whl (8.3 MB view details)

Uploaded CPython 3.10 Windows x86-64

dipy-1.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

dipy-1.9.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (8.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

dipy-1.9.0-cp310-cp310-macosx_11_0_arm64.whl (8.2 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

dipy-1.9.0-cp310-cp310-macosx_10_9_x86_64.whl (8.8 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

dipy-1.9.0-cp39-cp39-win_amd64.whl (8.3 MB view details)

Uploaded CPython 3.9 Windows x86-64

dipy-1.9.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

dipy-1.9.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (8.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

dipy-1.9.0-cp39-cp39-macosx_11_0_arm64.whl (8.2 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

dipy-1.9.0-cp39-cp39-macosx_10_9_x86_64.whl (8.9 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

dipy-1.9.0-1-cp312-cp312-macosx_11_0_arm64.whl (8.3 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

dipy-1.9.0-1-cp312-cp312-macosx_10_9_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

dipy-1.9.0-1-cp311-cp311-macosx_11_0_arm64.whl (8.3 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

dipy-1.9.0-1-cp311-cp311-macosx_10_9_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

dipy-1.9.0-1-cp310-cp310-macosx_11_0_arm64.whl (8.3 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

dipy-1.9.0-1-cp310-cp310-macosx_10_9_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

dipy-1.9.0-1-cp39-cp39-macosx_11_0_arm64.whl (8.4 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

dipy-1.9.0-1-cp39-cp39-macosx_10_9_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

File details

Details for the file dipy-1.9.0.tar.gz.

File metadata

  • Download URL: dipy-1.9.0.tar.gz
  • Upload date:
  • Size: 6.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.18

File hashes

Hashes for dipy-1.9.0.tar.gz
Algorithm Hash digest
SHA256 eb0f7a211202d48f30961743528c86ec9804fcba8ca440a7484e0a113fa2cc4f
MD5 1dad005f3a8fcbfb63f3162ad39e0633
BLAKE2b-256 0fa3488a52b7fe5afb4f8978c7d5e537f6bfb9c5620c910ca8f41fafc64f2472

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: dipy-1.9.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 8.2 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.8

File hashes

Hashes for dipy-1.9.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 6f18e2593ee0bc2acad60272ce6b44472401f797e216617e5738d752073a5be1
MD5 72c80f77f2da50091e3f670b07e75fde
BLAKE2b-256 e15250ba6c80bb7e0a397a20678d86a3b6b67fe7f15fc8ad569c6d355d43be95

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4066f696a84ca20a550ba5b7879a51ae61bac2c719b5cba0fcbef855d8d612ec
MD5 ee5c69fc8d0e5d582c2f633147cfe8b5
BLAKE2b-256 008a37a036e285dc3308c58996dc3c21991cb70fa38397ebb2e711ddc3c6c962

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 33c7eda4b1953cdacda1bf0da1a7970fef79260fa82e09d6b58d43fabd5a4299
MD5 3763a7543e9a47f665dc9ff41333a1e3
BLAKE2b-256 7b91c5c65894e25afa6703806ade4846c57f68ba9dc62fad97023b6b673794f7

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 58f7365086fcc135eb48cdb0cd76525e6ac960f7b693b071034dd4be4594c284
MD5 a880a197aefa6506197c1743660a1924
BLAKE2b-256 e7a5a2eccb60f6fda958ba4210aaa1f5739f0d5b48fafd9d5f66d69583c3d904

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c3f5450c3982595db4811f38dd4be07cd3e077d5f4d0e4e8911ebf5157ca82da
MD5 244a20a21ed8e6c82181a8559e3f7de0
BLAKE2b-256 0b79be82ae92cbb0dc2c7e0c1219ea828c82b4fffd355c8e5a142ba67bbe7ccd

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: dipy-1.9.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 8.3 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.8

File hashes

Hashes for dipy-1.9.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 8da3f5311cfd71dc635b3996b8421192a596f1759851a050a63d085856e9cb9f
MD5 12a2fdcc7395b0b8fdaba1f7d480f980
BLAKE2b-256 a802b5e780a9f8366322973efeb26d1f03e86d3035526a9dd1bbd4f308883b5b

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cee0ccd5fd73afc19992b63af3e9cad0d3dee8c6a62b6c68a615c36424255f61
MD5 999bb896da0f85d9c9999dce6ff77407
BLAKE2b-256 53ad18090e5d7cabd50c494b0f8840e61c0f7a795ca0f18ce7e8b66b5318b5b3

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 34144ed9bdda83e2dceae820d550bf4f184a537cf8efc3e5b9f8872103ed521a
MD5 6f4a2ffbcf03ec6d8ba22f8f43b736ab
BLAKE2b-256 ba1f0f079be9e0e8ff5ede7efe87cddcc78986782c340dfd56443086023299e5

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4f5cc43ad0ba37be236006b20bd0ed957640e07565e06d5997e47fdbbd7a0c2d
MD5 e138f2e5d8e603725eb360ce62fe7bda
BLAKE2b-256 b88fe68aaf9fc09fb0096a97276df850bffc034d8fc4c2c5ab7cef43a853ca59

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0abd802100250871d5eb065bf56933f49082935181e8d47e2362ed3e41e9b4fc
MD5 d0c5452654bfe994aa6a2636a367c1a2
BLAKE2b-256 db1470c9d60d2ccdbf45efd139af545d7a90382c57d8b06504ffe2c7126b044f

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: dipy-1.9.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 8.3 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.8

File hashes

Hashes for dipy-1.9.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 17427a280dcf07702d45191de3a8645d846d9c70144c21b3abc15daa15ba3e17
MD5 3ad9a23f911c0176f46e71e47687053f
BLAKE2b-256 100fe6efaf8062d60aa06e00e6f1406bc3b7ebd05b5ca9cdd585931e88018d48

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d59cb8a73b82cc60ac12cc338546d2d5b5c2ebafe0571366549bf91542b1a311
MD5 cc28ebf13d9014228b907be77b788da2
BLAKE2b-256 8a1215a14c4fdebbb7f5869041d70f8701a67fdf89ff5454a5011c3dd63d7f58

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 61e22cf21784173d580bfc7e7f8f4bf87786756155c65cc0abf5f6c098a6b9b7
MD5 2290023fe725b0543db4aa4845d9897a
BLAKE2b-256 1d2815927821eb332c507b010b92d2b49a583009e26f97ecd6b68679b1f93397

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 642a5757930271fc44cead63d95fb421b44283423fc8414d3841afb91dd236b5
MD5 666946f41acf1d51e08e972ffb887ece
BLAKE2b-256 da7c240ecb30107a0328986fb3058788d62976d26f6b8d29deb63f02d45e492b

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0f29fee8dae3a988b5c44ceda9a8c9056e59ba73829463c646b98708e0e73bd9
MD5 3a2566c91b31950780489d434a162200
BLAKE2b-256 24231e950e0c000e08a07b586cca68ba2e3c4eb14501b4f4963508e4c521ff1f

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: dipy-1.9.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 8.3 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.8

File hashes

Hashes for dipy-1.9.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 12754416f5290fd9f91261746ba961ab3589a47e1855f4ee644f3aa7700661b0
MD5 51cfa586a8cf2b9766fd1f82a669d0ef
BLAKE2b-256 cad8e70d38dafa7b691462e4c2dc04fd1c46b8f73cf2764e7e2d2dee8ab79d42

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 06144427182c753f58c7117bf167ef7148ca8534871ca61c7fad6aa94f2ac25d
MD5 60d74460cf42c4dcf642af3a04f72c0c
BLAKE2b-256 3045eef3447d428212acf1a2738bb8e9b77c86f3f0d5d368a8e3b2767dd722e8

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f11d4b68ecbd89f6099d3c0d4a2386139232e6f49aff4fc2c979b269d1267dbb
MD5 f8cd64080bd978b30c899b8fe999c721
BLAKE2b-256 5b1231d523f21af514707a45a2bb94e16040946de98a56c49825f3acf1f15dfd

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f9490816d394ca92c413a95d8a41b79dea3eaa7aab59c9f65a9c0e977e4b0574
MD5 576d89bcf1de1053194d14a0db5cf65b
BLAKE2b-256 5fcc69d3317e6dc0022e94142e1ca0277d0446b57d88e159bb085f072ccc2dfe

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 908c3716f219d399da72f65196ba3b86cd8878377618bbbf6d0a9b1f91af4c44
MD5 0252299676ceb17e4826da1c32f83928
BLAKE2b-256 c49b51a7f29afb03aaaa6dd5171fd20dd2f91fafe755caf1decd008f0dfd4ff6

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1a6951b799c7ec9d650b3b98140bafa20b3f96c85e8b99c6243187fec7e143ea
MD5 0eab0499336207dbc36b02e77ee08be9
BLAKE2b-256 19c86ccf0e5a02aa58146fde6ec9c2629eb6cb6cd8574703d4b44d21eedcbac9

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-1-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-1-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 82918bb4f37771d8372c2a3bfee9a8b6cbf93c574adfcb1b210cacd414504d19
MD5 e8bc31dc4370306d1ff779a3898459c1
BLAKE2b-256 5210c35b1ecccc2fc204a60e217f9c3f8258b30fd9b596cc2c594fca8eb2cf88

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 23a519ff742c90686b166d08d8b524a743a4834cb88d40a717c5912dc5d8eb4e
MD5 e2c277b71676f710a0671d6274dff162
BLAKE2b-256 0e9b76d6c5836647fa740d8f32d705d11de2bc445bd011c7cafa790fecd33993

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 49b414a34a4f3cb6c7c56e35413e6a27de975fd1df22c6fad143f06348957f67
MD5 3ac5b9cdee8b8df67968a843382fee43
BLAKE2b-256 31cfdcbdf07ec4f47a0147c0b7dff12b35e196c88bf25741aee7828db56ba84a

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2e4f6f25455b5600fbfa256120bfe486044585d8d769ac69ce489c47f90f5a54
MD5 dbc3835909840e262b553ea6fad048d8
BLAKE2b-256 afa97a0f58ca512f70b64bb648e7bcfceed19b45eb115e0cd905cc18c829137c

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4114959d291eea4b79ff0a0044cfb9ea78d584d1ff303e18c9ee08dbf1c2bcbd
MD5 e32990edc22f4924b3264c6ccd9a3711
BLAKE2b-256 8727c3e6032cbbe3d0d8c8612f09fa93107a066cb651dccc170a92ae964d5330

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9f1bfdd31ca2e7ff55f99aa80396b84303c354f1c468ba1eb0306a2a504cbc22
MD5 80c0e1f5fcae249b555fd573fdebabca
BLAKE2b-256 b3eb3149388f74975c4f6ee862638f7c170506718362629f6771e002a3e625dc

See more details on using hashes here.

File details

Details for the file dipy-1.9.0-1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.9.0-1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8819ffa79acc79832982ef6adb33bd00dac44e82ee42c51f5a25a5d0e929ec3d
MD5 9bc29c238dcd7c123f88d9b1087831aa
BLAKE2b-256 af7b12d9a0c545c92df995c7461b258522979e64e98a3b4e514ba16fe9b4a0db

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page