Skip to main content

Diffusion MRI Imaging in Python

Project description

DIPY - Diffusion Imaging in Python

https://github.com/dipy/dipy/actions/workflows/test.yml/badge.svg?branch=master https://github.com/dipy/dipy/actions/workflows/build_docs.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


Download files

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

Source Distribution

dipy-1.11.0.tar.gz (6.8 MB view details)

Uploaded Source

Built Distributions

dipy-1.11.0-cp313-cp313-win_amd64.whl (8.6 MB view details)

Uploaded CPython 3.13 Windows x86-64

dipy-1.11.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.4 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ x86-64

dipy-1.11.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (9.1 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ ARM64

dipy-1.11.0-cp313-cp313-macosx_14_0_arm64.whl (8.5 MB view details)

Uploaded CPython 3.13 macOS 14.0+ ARM64

dipy-1.11.0-cp313-cp313-macosx_10_13_x86_64.whl (8.6 MB view details)

Uploaded CPython 3.13 macOS 10.13+ x86-64

dipy-1.11.0-cp312-cp312-win_amd64.whl (8.6 MB view details)

Uploaded CPython 3.12 Windows x86-64

dipy-1.11.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

dipy-1.11.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (9.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

dipy-1.11.0-cp312-cp312-macosx_14_0_arm64.whl (8.6 MB view details)

Uploaded CPython 3.12 macOS 14.0+ ARM64

dipy-1.11.0-cp312-cp312-macosx_10_13_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.12 macOS 10.13+ x86-64

dipy-1.11.0-cp311-cp311-win_amd64.whl (8.7 MB view details)

Uploaded CPython 3.11 Windows x86-64

dipy-1.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

dipy-1.11.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (9.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

dipy-1.11.0-cp311-cp311-macosx_14_0_arm64.whl (8.6 MB view details)

Uploaded CPython 3.11 macOS 14.0+ ARM64

dipy-1.11.0-cp311-cp311-macosx_10_9_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

dipy-1.11.0-cp310-cp310-win_amd64.whl (8.7 MB view details)

Uploaded CPython 3.10 Windows x86-64

dipy-1.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

dipy-1.11.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (9.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

dipy-1.11.0-cp310-cp310-macosx_14_0_arm64.whl (8.6 MB view details)

Uploaded CPython 3.10 macOS 14.0+ ARM64

dipy-1.11.0-cp310-cp310-macosx_10_9_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

File details

Details for the file dipy-1.11.0.tar.gz.

File metadata

  • Download URL: dipy-1.11.0.tar.gz
  • Upload date:
  • Size: 6.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for dipy-1.11.0.tar.gz
Algorithm Hash digest
SHA256 5f9247ea7eee267305b02a7265bb0fe2d6918760b39c8fa6debfe8df7098ddd8
MD5 fbaf94fe5745ea02b0ca2cc321619658
BLAKE2b-256 82258405d6557863f1e944cf75bf64d8d45ed9784e1a25b646b8b695a1f3db41

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: dipy-1.11.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 8.6 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for dipy-1.11.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 aec7f38a41f69e00af48c5a61515943a89c7ceab2e2cfc1419488bd847d5e847
MD5 1c91c0fe009d2f9082718273bf79f72b
BLAKE2b-256 454f843e85fb02671538aa2b6bb263a191a406ed653af36bc3818a4f8bd3c728

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 843c7f4644b7b69660f8c39ecb250940b4ae1cb8526a42a0ffec377eb4c81bc6
MD5 ba982423304dd6d374b8cc5b306a115a
BLAKE2b-256 5f7e2afded4dd8080221bcf28444b5b7c588cc8dfaf6b93a34ea90e402821f27

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 13a6156009aa6dc28698c1db046d2dab02417c5a853ee65e09c497d6d738004c
MD5 b5fbe8fb2232713444ddf24faf28ec11
BLAKE2b-256 23f586190ad667d74b8afc6f92a2c882452bcc944640bbbf05601c9ca76b5833

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp313-cp313-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp313-cp313-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 bd975155ca9ada7383c3cdd023454fb042c9d3ee48b5cc1e7eaf1f6f32575f9c
MD5 6438ec68b83851987914c22724270ae5
BLAKE2b-256 aeba06b11a0085b9baaf4b5fb17a83f7286c6c239af2fc8d63d6cc149d233444

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 142f879f4fdc1d59ef667c08edb5ba0baad56ba832811a97d59aeba56986a1b4
MD5 d67c61a32265f587ddfb7d635a67cae9
BLAKE2b-256 22a5adf1deafb3c1db3b5bd6883fdea3beb7c9e6171a484597d405cf3f81b10d

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: dipy-1.11.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 8.6 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for dipy-1.11.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 2b389a8a265318d059eb7ad6881746a8131ddc283e1becd9bdf307604fc573b7
MD5 8fc453e5db30e3c8cd713ce6c6be1dae
BLAKE2b-256 e5f23abe2c8d7288d194094197e6c30089540cc120fee1788adc230525286e69

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2a1456a2fe7d18967f93ee096d126a9a6b611d8084e51d47dd18b7b50653f80d
MD5 72aa16abffb4227ac035643e1d22a6b0
BLAKE2b-256 2796469627001bdcaf847be2b2c2c895114ded31211e1f0503282f5d244916a0

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4b716717f9245093e70bc3d99868fa8830dc5d4fbad1185a0025087e3755dec8
MD5 96b4a189b9ab645f8f635b959600f999
BLAKE2b-256 41a6d2965c7bf96a99d6989cb4a64d87703a67369a9af54d8bf5998200820423

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp312-cp312-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp312-cp312-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 39ecc846b9c8863c4f79a1adcf542133547b4de50772240421a553475e7a2cf5
MD5 be2a3d4a2a5a418ec3f6b0877227f888
BLAKE2b-256 79adde0b184afbd309e5949082f0be3b4cd552862ad90fed38a6026f9cb4a2da

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 d05514c0011be2cb8c77e078f8309a6f119acfc6a2035bf4dbf30658433b82cb
MD5 4b16f70caa4fc5dad1499e320cce1e12
BLAKE2b-256 96c2c2e228167ae229be6ac1f0b5bc1446c0422a1c3c930fa1d27fe3cc95ab5a

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: dipy-1.11.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 8.7 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for dipy-1.11.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 4dca7c7be1b3a6f203880697deaad6670bf38d00ba027e79b311303956fc2cef
MD5 0bb310d73dacf62189972d694606a565
BLAKE2b-256 98f56a6f279ba7a73e0365f3fb9e2e4e442b38a300669d67777dd60cd42d2896

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dbbc996f6cf31b80219ccfaded25df93096c1147c4d7ef2019c57dd6174b57d3
MD5 24676fadab49bba83ea808abfeaf1a76
BLAKE2b-256 38c0533a14ad1a4e17bf496e07ddf84332e0fed6f2c0e1866e0ecb6066862ea1

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7c1e2520620249bd3d7cbd2ef396c7f5cdd5e4e2c5ad86fc18b18a78ce8b06e6
MD5 ffab6ce30702ad30abfd302e7ac9ffb0
BLAKE2b-256 c684c62e12e253165131598d614a82c221a1aca762c0e5ba2915c8155cf75148

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp311-cp311-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp311-cp311-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 211412f66af4b397170cf1757a257bf6c9c315cc7e7b1866b3068114bf73756b
MD5 ad657239d4b0ed4832ff2f6e245e1e2b
BLAKE2b-256 cfc78a060b3984c428c1f86c9334200e072266d4aec0b7d7b7f6bc0638108b6e

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 95c528cbe4a79d7a2a5f6576d7999d727081e228c2c14fc18189674eb9d4e98d
MD5 bb8e2abd5c1d278db7b3ca627b4c1cc8
BLAKE2b-256 c10d14c427dbe54c997e169a507cb44c63df6d04424247e55903869755d8d38c

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: dipy-1.11.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 8.7 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for dipy-1.11.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 8951b1edfdd78c6e80ee6194d813a8ae559d31c33e8a3e6dbd26f7c832e193d3
MD5 d94586501602f55934f4b185bf3348b8
BLAKE2b-256 d4a915d0f477b4960ab242550cc3badfeb3d6872c2bfc74c289d49cef5644918

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f3cb3342258ba6c0d61aa32a4f792deb46b18d91f3270cff118e5d0fcce9a77b
MD5 db4bfe25dd4f6ddabc024d715386cdb7
BLAKE2b-256 1ae36092846f91a6032f4d89c83bebb5ff8dc1dc15622a11b0a04a53be54221b

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b67e76b8a26c313625575a8e3e07a20e98ab72c71429c448e17243fe3e4a1f8a
MD5 50a67be3f510887b75b3bfb25c2e06f2
BLAKE2b-256 c29c9a2a34813c63b0b231694e8199e9b8c01d680e827a8763378d9387d9a574

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp310-cp310-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp310-cp310-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 362318b85baaa6fd4f241120bf0bd53421adc366394f4619a611580632affcb8
MD5 dd57b965f3c288c6cd5355fb313d3440
BLAKE2b-256 f73885fb641b4dc0aed80721ee9e836df35faea9affb7f8f7f796e5d82000a63

See more details on using hashes here.

File details

Details for the file dipy-1.11.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for dipy-1.11.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 022e80505c37f6abcd4cb5232457fde53177c0adc3363f0bec93755efb860685
MD5 6f414ad575be518ce52a9b7cf1f6a6ea
BLAKE2b-256 2aba47e0fc622346efd28bfabd3e7284032a6814a207a1656034c785a373e350

See more details on using hashes here.

Supported by

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