Skip to main content

Current neuroimaging software offer users an incredible opportunity to analyze data using a variety of different algorithms. However, this has resulted in a heterogeneous collection of specialized applications without transparent interoperability or a uniform operating interface.

Nipype, an open-source, community-developed initiative under the umbrella of NiPy, is a Python project that provides a uniform interface to existing neuroimaging software and facilitates interaction between these packages within a single workflow. Nipype provides an environment that encourages interactive exploration of algorithms from different packages (e.g., AFNI, ANTS, BRAINS, BrainSuite, Camino, FreeSurfer, FSL, MNE, MRtrix, MNE, Nipy, Slicer, SPM), eases the design of workflows within and between packages, and reduces the learning curve necessary to use different packages. Nipype is creating a collaborative platform for neuroimaging software development in a high-level language and addressing limitations of existing pipeline systems.

Nipype allows you to:

  • easily interact with tools from different software packages

  • combine processing steps from different software packages

  • develop new workflows faster by reusing common steps from old ones

  • process data faster by running it in parallel on many cores/machines

  • make your research easily reproducible

  • share your processing workflows with the community

Download files

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

Source Distribution

nipype-1.8.2.tar.gz (2.9 MB view details)

Uploaded Source

Built Distribution

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

nipype-1.8.2-py3-none-any.whl (3.2 MB view details)

Uploaded Python 3

File details

Details for the file nipype-1.8.2.tar.gz.

File metadata

  • Download URL: nipype-1.8.2.tar.gz
  • Upload date:
  • Size: 2.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for nipype-1.8.2.tar.gz
Algorithm Hash digest
SHA256 c5465ddd9ceba762037cff8d21308b52cd080257fcb13d3f8d677bd1429b222b
MD5 3ffd7451a7855dd2e46fd61623959124
BLAKE2b-256 997441cb251cac83c1bc8bb3f4404eca6294a491a590ed841658fca4b2f8af0c

See more details on using hashes here.

File details

Details for the file nipype-1.8.2-py3-none-any.whl.

File metadata

  • Download URL: nipype-1.8.2-py3-none-any.whl
  • Upload date:
  • Size: 3.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for nipype-1.8.2-py3-none-any.whl
Algorithm Hash digest
SHA256 00106a707083687da5a9687bf4f41a86170b0b05af803bda73f2260073302daa
MD5 48dcd7501df6283f9d8018fcc51f2e97
BLAKE2b-256 06928c6308cdbcdcc7ecb41da3cd8d098be40bdd31903b42a492bb7b81f07fdd

See more details on using hashes here.

Release history Release notifications | RSS feed

1.12.0

2 files

1.11.0

2 files

1.10.0

2 files

1.9.2

2 files

1.9.1

2 files

1.9.0

2 files

1.8.6

2 files

1.8.5

2 files

1.8.4

2 files

1.8.3

2 files

This release

1.8.2 This release

2 files

1.8.1

2 files

1.8.0

2 files

1.7.1

2 files

1.7.0

2 files

1.6.1

2 files

1.6.0

2 files

1.5.1

2 files

1.5.0

2 files

1.4.2

2 files

1.4.1

2 files

1.4.0

2 files

1.3.2

2 files

1.3.1

2 files

1.3.0

2 files

1.2.3

2 files

1.2.2

2 files

1.2.1

2 files

1.2.0

2 files

1.1.9

2 files

1.1.8

2 files

1.1.7

2 files

1.1.6

2 files

1.1.5

2 files

1.1.4

2 files

1.1.3

2 files

1.1.2

2 files

1.1.1

2 files

1.1.0

2 files

1.0.4

2 files

1.0.3

2 files

1.0.2

2 files

1.0.1

2 files

1.0.0

2 files

0.14.0

2 files

0.13.1

1 file

0.13.0

2 files

0.12.1

2 files

0.12.0

1 file

0.11.0

1 file

0.10.0

2 files

0.9.2

2 files

0.9.1

2 files

0.9.0

2 files

0.8.0

2 files

0.7.0

2 files

0.6.0

2 files

0.5.3

2 files

0.5.2

2 files

0.5.1

2 files

0.4.1

2 files

0.4

2 files

0.3.4

2 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