NeuroImaging Workflows provides processing tools for magnetic resonance images of the brain.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for cjmarkie from gravatar.com cjmarkie Avatar for filo from gravatar.com filo Avatar for mgxd from gravatar.com mgxd Avatar for nipreps from gravatar.com nipreps Avatar for oesteban from gravatar.com oesteban

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR U...)
  • Author: The NiPreps Developers
  • Requires: Python >=3.8
Classifiers

Project description

CI status GitHub Actions Test coverage

NeuroImaging Workflows (NiWorkflows) is a selection of image processing workflows for magnetic resonance images of the brain. It is designed to provide an easily accessible, state-of-the-art interface that is robust to differences in scan acquisition protocols and that requires minimal user input.

This open-source neuroimaging data processing tool is being developed as a part of the MRI image analysis and reproducibility platform offered by the NiPreps Community.

Documentation: https://www.nipreps.org/niworkflows/

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for cjmarkie from gravatar.com cjmarkie Avatar for filo from gravatar.com filo Avatar for mgxd from gravatar.com mgxd Avatar for nipreps from gravatar.com nipreps Avatar for oesteban from gravatar.com oesteban

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR U...)
  • Author: The NiPreps Developers
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

1.11.0

1.10.2

1.10.1

This version

1.10.0

1.9.0

1.8.1

1.8.0

1.7.9

1.7.8

1.7.7

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.4.10

1.4.9

1.4.8

1.4.7

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.4.0rc6 pre-release

1.4.0rc5 pre-release

1.4.0rc4 pre-release

1.4.0rc3 pre-release

1.4.0rc2 pre-release

1.4.0rc1 pre-release

1.4.0rc0 pre-release

1.3.10

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.3.0rc3 pre-release

1.3.0rc2 pre-release

1.3.0rc1 pre-release

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.2.0rc5 pre-release

1.2.0rc4 pre-release

1.2.0rc3 pre-release

1.2.0rc2 pre-release

1.2.0rc1 pre-release

1.1.12

1.1.11

1.1.10

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

1.0.0rc2 pre-release

1.0.0rc1 pre-release

0.10.4

0.10.3

0.10.3rc1 pre-release

0.10.2

0.10.1

0.10.0

0.9.6

0.9.6rc3 pre-release

0.9.6rc2 pre-release

0.9.6rc1 pre-release

0.9.5

0.9.4

0.9.3

0.9.2.post1

0.9.2

0.9.1.post1

0.9.1

0.9.0

0.9.0a2 pre-release

0.9.0a1 pre-release

0.9.0a0 pre-release

0.8.2

0.8.1

0.8.0

0.7.2

0.7.1.post1

0.7.1

0.7.0

0.6.1

0.6.0

0.5.4

0.5.3

0.5.2.post8

0.5.2.post7

0.5.2.post6

0.5.2.post5

0.5.2.post4

0.5.2.post3

0.5.2.post2

0.5.2.post1

0.5.2

0.5.1.post1

0.5.1

0.5.0

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.13

0.3.12

0.3.11

0.3.10

0.3.9

0.3.8

0.3.7

0.3.6.post1

0.3.6

0.3.5

0.3.4

0.3.3

0.3.1

0.3.0

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.11

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

0.0.7

0.0.6.post3

0.0.6.post2

0.0.6.post1

0.0.6

0.0.6.dev0 pre-release

0.0.5

0.0.4a1 pre-release

0.0.4a0 pre-release

0.0.3a20 pre-release

0.0.3a19 pre-release

0.0.3a18 pre-release

0.0.3a17 pre-release

0.0.3a16 pre-release

0.0.3a15 pre-release

0.0.3a14 pre-release

0.0.3a13 pre-release

0.0.3a12 pre-release

0.0.3a11 pre-release

0.0.3a9 pre-release

0.0.3a8 pre-release

0.0.3a7 pre-release

0.0.3a6 pre-release

0.0.3a5 pre-release

0.0.3a4 pre-release

0.0.3a3 pre-release

0.0.3a2 pre-release

0.0.3a1 pre-release

0.0.2

0.0.2a1 pre-release

0.0.1

Download files

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

Source Distribution

niworkflows-1.10.0.tar.gz (74.0 MB view details)

Uploaded Source

Built Distribution

niworkflows-1.10.0-py3-none-any.whl (59.1 MB view details)

Uploaded Python 3

File details

Details for the file niworkflows-1.10.0.tar.gz.

File metadata

  • Download URL: niworkflows-1.10.0.tar.gz
  • Upload date:
  • Size: 74.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for niworkflows-1.10.0.tar.gz
Algorithm Hash digest
SHA256 333ae36022cd83ff91c31efffb4c82bc1743499f75e0134c7841500f0604352a
MD5 973396998da00064a6c53c4c15d9b1c7
BLAKE2b-256 0877ca04cc0fd33e2f426ee185a74b0ddd9be2cc2efbb4775f93763b6ecf9e26

See more details on using hashes here.

Provenance

File details

Details for the file niworkflows-1.10.0-py3-none-any.whl.

File metadata

  • Download URL: niworkflows-1.10.0-py3-none-any.whl
  • Upload date:
  • Size: 59.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.9

File hashes

Hashes for niworkflows-1.10.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e65e5c5d9ba0d76710a3c2897ec6121b35d8dc412c89787fd5cdced6077cc118
MD5 879503f8017369fd6f4faf7d1a567279
BLAKE2b-256 9233215885414dc6dfbc38f1e7c709187e20ebe36ab0c1d4cca3363275d192e1

See more details on using hashes here.

Provenance

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