Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

========================================================
NIPYPE: Neuroimaging in Python: Pipelines and Interfaces
========================================================

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., ANTS, SPM, FSL, FreeSurfer, Camino, MRtrix, MNE, AFNI, BRAINS,
Slicer), 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-0.11.0rc1.tar.gz (2.7 MB view details)

Uploaded Source

Built Distribution

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

nipype-0.11.0rc1-py2-none-any.whl (2.4 MB view details)

Uploaded Python 2

File details

Details for the file nipype-0.11.0rc1.tar.gz.

File metadata

  • Download URL: nipype-0.11.0rc1.tar.gz
  • Upload date:
  • Size: 2.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for nipype-0.11.0rc1.tar.gz
Algorithm Hash digest
SHA256 9021f8a5af5b1f352ff0e039d778fcbfe51ffdd9ddc515d3c8b4aa90b9f89746
MD5 587c7de72ca2b6a448ed0de2839eafb4
BLAKE2b-256 b7b3a36cccb14f1ec37946b9eccb139f1ccf023cb45ca237bbef6ce452ac885a

See more details on using hashes here.

File details

Details for the file nipype-0.11.0rc1-py2-none-any.whl.

File metadata

File hashes

Hashes for nipype-0.11.0rc1-py2-none-any.whl
Algorithm Hash digest
SHA256 5f36520b10caa7ac9078ce71911f95ccb68e7a94a7add8796d5045f118057d6e
MD5 6d116e3bba3dcafb179a3dd9d3de0d25
BLAKE2b-256 b7183b4c501d2ebfcaad32a581674b12afc721f8c41b437893c3d0df20e08084

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

1.8.2

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

This release

0.11.0rc1 This release

2 files

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