Skip to main content

A python package for analysis of neuroimaging data

Project description

https://codecov.io/gh/nipy/nipy/branch/main/graph/badge.svg

NIPY

Neuroimaging tools for Python.

The aim of NIPY is to produce a platform-independent Python environment for the analysis of functional brain imaging data using an open development model.

In NIPY we aim to:

  1. Provide an open source, mixed language scientific programming environment suitable for rapid development.

  2. Create software components in this environment to make it easy to develop tools for MRI, EEG, PET and other modalities.

  3. Create and maintain a wide base of developers to contribute to this platform.

  4. To maintain and develop this framework as a single, easily installable bundle.

NIPY is the work of many people. We list the main authors in the file AUTHOR in the NIPY distribution, and other contributions in THANKS.

Website

Current information can always be found at the NIPY project website.

Mailing Lists

For questions on how to use nipy or on making code contributions, please see the neuroimaging mailing list:

https://mail.python.org/mailman/listinfo/neuroimaging

Please report bugs at github issues:

https://github.com/nipy/nipy/issues

You can see the list of current proposed changes at:

https://github.com/nipy/nipy/pulls

Code

You can find our sources and single-click downloads:

Tests

To run nipy’s tests, you will need to install the pytest Python testing package:

pip install pytest

Then:

pytest nipy

You can run the doctests along with the other tests with:

pip install pytest-doctestplus

Then:

pytest --doctest-plus nipy

Installation

See the latest installation instructions.

License

We use the 3-clause BSD license; the full license is in the file LICENSE in the nipy distribution.

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

nipy-0.6.0.tar.gz (1.7 MB view hashes)

Uploaded Source

Built Distributions

nipy-0.6.0-cp312-cp312-win_amd64.whl (3.0 MB view hashes)

Uploaded CPython 3.12 Windows x86-64

nipy-0.6.0-cp312-cp312-musllinux_1_1_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.12 musllinux: musl 1.1+ x86-64

nipy-0.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

nipy-0.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.28+ x86-64

nipy-0.6.0-cp312-cp312-macosx_11_0_arm64.whl (2.2 MB view hashes)

Uploaded CPython 3.12 macOS 11.0+ ARM64

nipy-0.6.0-cp312-cp312-macosx_10_10_x86_64.whl (2.5 MB view hashes)

Uploaded CPython 3.12 macOS 10.10+ x86-64

nipy-0.6.0-cp311-cp311-win_amd64.whl (3.0 MB view hashes)

Uploaded CPython 3.11 Windows x86-64

nipy-0.6.0-cp311-cp311-musllinux_1_1_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

nipy-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

nipy-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.28+ x86-64

nipy-0.6.0-cp311-cp311-macosx_11_0_arm64.whl (2.2 MB view hashes)

Uploaded CPython 3.11 macOS 11.0+ ARM64

nipy-0.6.0-cp311-cp311-macosx_10_10_x86_64.whl (2.5 MB view hashes)

Uploaded CPython 3.11 macOS 10.10+ x86-64

nipy-0.6.0-cp310-cp310-win_amd64.whl (3.0 MB view hashes)

Uploaded CPython 3.10 Windows x86-64

nipy-0.6.0-cp310-cp310-musllinux_1_1_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

nipy-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

nipy-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.28+ x86-64

nipy-0.6.0-cp310-cp310-macosx_11_0_arm64.whl (2.2 MB view hashes)

Uploaded CPython 3.10 macOS 11.0+ ARM64

nipy-0.6.0-cp310-cp310-macosx_10_10_x86_64.whl (2.5 MB view hashes)

Uploaded CPython 3.10 macOS 10.10+ x86-64

nipy-0.6.0-cp39-cp39-win_amd64.whl (3.0 MB view hashes)

Uploaded CPython 3.9 Windows x86-64

nipy-0.6.0-cp39-cp39-musllinux_1_1_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

nipy-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

nipy-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.28+ x86-64

nipy-0.6.0-cp39-cp39-macosx_11_0_arm64.whl (2.2 MB view hashes)

Uploaded CPython 3.9 macOS 11.0+ ARM64

nipy-0.6.0-cp39-cp39-macosx_10_10_x86_64.whl (2.5 MB view hashes)

Uploaded CPython 3.9 macOS 10.10+ x86-64

nipy-0.6.0-cp38-cp38-win_amd64.whl (3.0 MB view hashes)

Uploaded CPython 3.8 Windows x86-64

nipy-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

nipy-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl (2.6 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.28+ x86-64

nipy-0.6.0-cp38-cp38-macosx_11_0_arm64.whl (2.2 MB view hashes)

Uploaded CPython 3.8 macOS 11.0+ ARM64

nipy-0.6.0-cp38-cp38-macosx_10_10_x86_64.whl (2.5 MB view hashes)

Uploaded CPython 3.8 macOS 10.10+ x86-64

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