Skip to main content

Diffusion MRI utilities in python

Project description

DIPY is a python toolbox for analysis of MR diffusion imaging.

DIPY is for research only; please do not use results from DIPY for clinical decisions.

Website

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

Mailing Lists

Please see the developer’s list at http://mail.scipy.org/mailman/listinfo/nipy-devel

Code

You can find our sources and single-click downloads:

License

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

DIPY uses other libraries also licensed under the BSD or the MIT licenses, with the only exception of the SHORE module which optionally uses the cvxopt library. Cvxopt is licensed under the GPL license.

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-0.14.0.tar.gz (10.9 MB view details)

Uploaded Source

Built Distributions

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

dipy-0.14.0-cp37-none-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.7Windows x86-64

dipy-0.14.0-cp37-none-win32.whl (6.2 MB view details)

Uploaded CPython 3.7Windows x86

dipy-0.14.0-cp37-cp37m-manylinux1_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.7m

dipy-0.14.0-cp37-cp37m-manylinux1_i686.whl (7.4 MB view details)

Uploaded CPython 3.7m

dipy-0.14.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (11.6 MB view details)

Uploaded CPython 3.7mmacOS 10.10+ Intel (x86-64, i386)macOS 10.10+ x86-64macOS 10.6+ Intel (x86-64, i386)macOS 10.9+ Intel (x86-64, i386)macOS 10.9+ x86-64

dipy-0.14.0-cp36-cp36m-manylinux1_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.6m

dipy-0.14.0-cp36-cp36m-manylinux1_i686.whl (7.4 MB view details)

Uploaded CPython 3.6m

dipy-0.14.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (11.3 MB view details)

Uploaded CPython 3.6mmacOS 10.10+ Intel (x86-64, i386)macOS 10.10+ x86-64macOS 10.6+ Intel (x86-64, i386)macOS 10.9+ Intel (x86-64, i386)macOS 10.9+ x86-64

dipy-0.14.0-cp35-cp35m-manylinux1_x86_64.whl (8.0 MB view details)

Uploaded CPython 3.5m

dipy-0.14.0-cp35-cp35m-manylinux1_i686.whl (7.3 MB view details)

Uploaded CPython 3.5m

dipy-0.14.0-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (11.2 MB view details)

Uploaded CPython 3.5mmacOS 10.10+ Intel (x86-64, i386)macOS 10.10+ x86-64macOS 10.6+ Intel (x86-64, i386)macOS 10.9+ Intel (x86-64, i386)macOS 10.9+ x86-64

dipy-0.14.0-cp34-none-win_amd64.whl (6.8 MB view details)

Uploaded CPython 3.4Windows x86-64

dipy-0.14.0-cp34-none-win32.whl (6.3 MB view details)

Uploaded CPython 3.4Windows x86

dipy-0.14.0-cp34-cp34m-manylinux1_x86_64.whl (8.0 MB view details)

Uploaded CPython 3.4m

dipy-0.14.0-cp34-cp34m-manylinux1_i686.whl (7.3 MB view details)

Uploaded CPython 3.4m

dipy-0.14.0-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (11.6 MB view details)

Uploaded CPython 3.4mmacOS 10.10+ Intel (x86-64, i386)macOS 10.10+ x86-64macOS 10.6+ Intel (x86-64, i386)macOS 10.9+ Intel (x86-64, i386)macOS 10.9+ x86-64

dipy-0.14.0-cp27-none-win_amd64.whl (7.1 MB view details)

Uploaded CPython 2.7Windows x86-64

dipy-0.14.0-cp27-none-win32.whl (6.4 MB view details)

Uploaded CPython 2.7Windows x86

dipy-0.14.0-cp27-cp27mu-manylinux1_x86_64.whl (8.2 MB view details)

Uploaded CPython 2.7mu

dipy-0.14.0-cp27-cp27mu-manylinux1_i686.whl (7.4 MB view details)

Uploaded CPython 2.7mu

dipy-0.14.0-cp27-cp27m-manylinux1_x86_64.whl (8.1 MB view details)

Uploaded CPython 2.7m

dipy-0.14.0-cp27-cp27m-manylinux1_i686.whl (7.5 MB view details)

Uploaded CPython 2.7m

dipy-0.14.0-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (11.9 MB view details)

Uploaded CPython 2.7mmacOS 10.10+ Intel (x86-64, i386)macOS 10.10+ x86-64macOS 10.6+ Intel (x86-64, i386)macOS 10.9+ Intel (x86-64, i386)macOS 10.9+ x86-64

File details

Details for the file dipy-0.14.0.tar.gz.

File metadata

  • Download URL: dipy-0.14.0.tar.gz
  • Upload date:
  • Size: 10.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for dipy-0.14.0.tar.gz
Algorithm Hash digest
SHA256 1800c6efb73d6989a2655c83b2ac226f38417f0002ef92ca9613aef99a697de3
MD5 2a0f81ccaed6fad7c0776462ea18ad29
BLAKE2b-256 55c6447e170205d056413118bb8db2ae35b9ea294ecb152f7afe120ab99fd5b1

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp37-none-win_amd64.whl.

File metadata

  • Download URL: dipy-0.14.0-cp37-none-win_amd64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.7, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/38.5.2 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.4

File hashes

Hashes for dipy-0.14.0-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 098871bc371280936652087dedaad9a95cbc83e482b4355d6600a103527225fc
MD5 e8a1bd67bd9c9807fbec3b81d9cde07c
BLAKE2b-256 0be66e70335d17769bf1cc31e35c1b3e581692c49817a5592d75274f0c96739e

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp37-none-win32.whl.

File metadata

  • Download URL: dipy-0.14.0-cp37-none-win32.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: CPython 3.7, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/38.5.2 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.4

File hashes

Hashes for dipy-0.14.0-cp37-none-win32.whl
Algorithm Hash digest
SHA256 9819195062f9593a1d0f42c1b0f96964292c376659455bdf6b20ca013f177400
MD5 9e84289559fcd55e081b90ea16d7e175
BLAKE2b-256 6922af65525b9d95378cb5c3136e8607b5e29aee55856c3b19702c6e2867e13d

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: dipy-0.14.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 8.1 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/38.5.2 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.4

File hashes

Hashes for dipy-0.14.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a1af93e4fab1c65c64d8bd0af529f4a922d59e036f4534d6f3d90a47a54e8745
MD5 b764f229d43635725fcf09b1e31fef7a
BLAKE2b-256 ac936809435c7cc849ab457cc0781a0561bb71e0a46c5008ab7c9e34d08aed83

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp37-cp37m-manylinux1_i686.whl.

File metadata

  • Download URL: dipy-0.14.0-cp37-cp37m-manylinux1_i686.whl
  • Upload date:
  • Size: 7.4 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/38.5.2 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.4

File hashes

Hashes for dipy-0.14.0-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 4e84a6a7296498cf61077ff2b9ce088d2ed67cd68cf43812229d404d893e7f1a
MD5 4b18d546373f9c7aed84a935dc807cbc
BLAKE2b-256 8ef93884763e6f761008a07de74131817418c7248d05bfb187b237fee27e55d3

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 a48a58ab3e9d8e05d2d1bbbc479716a8e5c5209869a9d03f267cbcec0039414f
MD5 84f269e4905c1c4ca5f20126cd34e2a7
BLAKE2b-256 dbc395591fc8772bc2929faefdbad8a23503561312e02f93cad3cde68222b3cd

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 8bd9f7ca11da9a3beb889894b9297201d121eacf214e62398a3c3078a607a7a6
MD5 7ea98cc6a62657ea4d61c655bf326542
BLAKE2b-256 05415c3c6e7c18dc6cbad4cb7f470d5094bdbb53c83eb99e11ba2f66fc76d966

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp36-cp36m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 c727d094844eeb1358577d39359f5a99278230f31cf275d2b8a0f70b62a3ec59
MD5 76d93a7216f17b8a103428e5ab99725d
BLAKE2b-256 14715e64b0f4c4bedcab739a687f6bff5883bf49f048a1446daae8cb68d334bd

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 efe382f112aa1823f1184ecea7ace0a141862897969fdf62e0c65000297f5b73
MD5 f0185acb30afd3a43299d368f43f7ade
BLAKE2b-256 153ba2dded297a86579a9a9694cba10b12f971a744351fe860ce5361e9f55f91

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e94a1d992a28541e63aa69b1843b3f3c4432bc1fadf46d448a202e14861a0e89
MD5 47817023ca7074fc19d7a536db8c8902
BLAKE2b-256 9d57e439f0091e8df29e6b3e6e8642c184dd954ec9839b253effe7887d584522

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp35-cp35m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp35-cp35m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 6ece1b33cb7b71bae15115d2463f52606cd12661c72a7820b835b2f40216ab2a
MD5 fb4d847aacf841081370bd6363e082e3
BLAKE2b-256 406cf83cd493aa913636c49d902876042c8aa51ba8102dd1a7a08de403dd8be6

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 b9b46d78428881d2a1f36af971e404d4da226ec3da432888742eada361bcaada
MD5 7b718e5aac47a3b55496d21dc750ea17
BLAKE2b-256 419331c19cc2390cdccb1e068a2cb5e918392cf467ca02039b335e6596ad0b4c

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp34-none-win_amd64.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp34-none-win_amd64.whl
Algorithm Hash digest
SHA256 bc600a6a31dc628d3e43088658a954b52944e357444d04023d5d99a1b37f18a3
MD5 69522147c9a65fcfaee109896b3e6753
BLAKE2b-256 a78e62251773cc790f17d00a42f9043a4749276b065eaf02dd2861e2aa4f2fa8

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp34-none-win32.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp34-none-win32.whl
Algorithm Hash digest
SHA256 f34500a8e9222de1ebdffbc5cf62eb5f9b00b2bfd4d9804b3f09b603373e4b91
MD5 7c6008f853625bbecd9288f51e7ce522
BLAKE2b-256 4788fb1dd05e7736d0ea860ea15c968bd4605adbded3371100f5a11e6798d433

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9a2364f96a877d4df36dcc47a5579454faf014114de126e5e9d159b632e159d4
MD5 e1e9a3242c80e0383b8660c98b82d2ab
BLAKE2b-256 1eb2d0cbe7dc6e3e1bd91976220a80367e7beefe55cfe96119aed3994d1d8951

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp34-cp34m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp34-cp34m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 39e8027ce849a4cbe9fbf03e6cec87697ccc33258a5b6fce7ac6d2c4d1f549e7
MD5 9ca4d6d7526913c6614e87dedef546bd
BLAKE2b-256 79ca18fe13149c6e85b0e8048188409899d9a5429908514e45929b7cc2cc6a48

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 f3c01151ffc3b70b7cb0d231d1d06c29b6efe887ba5bd38db47968051f1bdf5d
MD5 9533807ba2bf46a8fa7436e8bb56ced8
BLAKE2b-256 a7cd561654775cafb9ca2d361251b920a1c44ee04531b3c49326ef27ad3f97a5

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp27-none-win_amd64.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp27-none-win_amd64.whl
Algorithm Hash digest
SHA256 b7babb3dbcb11e911eded91b63077ceb1e0c1bef7db5291b35ac342760772923
MD5 8e4dfc5e2e41c160b0ca3114df806727
BLAKE2b-256 6dd8bae5624e5327877ff6bebbf75008d28536e8250e4798f5175e74d12639ea

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp27-none-win32.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp27-none-win32.whl
Algorithm Hash digest
SHA256 8375fd5d09d87c63982b7e5532f6f56c73cdb0c11813f308d142180df703cc6e
MD5 3b7eb6a9d4477dbf5199b8c477698d7a
BLAKE2b-256 c578229204ac9117e060a66c958b08dcecc5ecee48a1820dd25f91c4fb44d3e8

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 807ab62d60ca4fbadf1dfba094d19067ef11a4603c822d5d186eeb1e89dca30a
MD5 6bbb595a8ec358df986e1f52d777ef94
BLAKE2b-256 2bae560a061a7a56fba4b1a28ebebb75fa4ed62ab92427fedc15d69e474dfe80

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp27-cp27mu-manylinux1_i686.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp27-cp27mu-manylinux1_i686.whl
Algorithm Hash digest
SHA256 7d2fa5ca973c985cf758bd1a49a7337ca21ed6fffc4224aee21af720a45fb0bb
MD5 1afd9ecde5c3f7ce245d42cf343ab0aa
BLAKE2b-256 c86a433e16326032df6490403cc6e10ef8c9949835a3653e28f73d4a76c36397

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 34917c80bdedd2ff9641cb95990708f9c846e6853fc89949576a34446a4b4994
MD5 a626a85bc529ce0bb257fb524d7e1752
BLAKE2b-256 7dc2bd10c5703a40c8ca4fd0976de5b5970a58b4ef10b46ab94778f06bcd3dc1

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp27-cp27m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp27-cp27m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 e655a9f875fcbdf7de9746ac11954b9d2d992e7448ebdfeab1d464b37158ec7d
MD5 3ca62434f0eb366c6f05da5b0911d719
BLAKE2b-256 22c7ddee69c17941b2ee4f544c37f40de40156458b441434e91b4bae5132d89d

See more details on using hashes here.

File details

Details for the file dipy-0.14.0-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for dipy-0.14.0-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 d60380a59beb58a659bc01eb9c186fb6d3d01ee700e0f693747271f6dd3cae7e
MD5 2f82007cb551c53a249bae8fc50006d1
BLAKE2b-256 829a66f4b409aae7abe4d66f24325ebfc2c92c4a84ad1b39dfe3527d23b13879

See more details on using hashes here.

Supported by

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