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:
Provide an open source, mixed language scientific programming environment suitable for rapid development.
Create software components in this environment to make it easy to develop tools for MRI, EEG, PET and other modalities.
Create and maintain a wide base of developers to contribute to this platform.
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:
Please report bugs at github issues:
You can see the list of current proposed changes at:
Code
You can find our sources and single-click downloads:
Main repository on Github;
Documentation for all releases and current development tree;
Download the current development version as a tar/zip file;
Downloads of all available releases.
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.
1 maintainer
Metadata
1 maintainer
Release files for nipy 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 90.7 MB
Release files / nipy-0.6.1-cp313-cp313-win_amd64.whl
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Release files / nipy-0.6.1-cp313-cp313-musllinux_1_1_x86_64.whl
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Release files / nipy-0.6.1-cp313-cp313-macosx_10_10_x86_64.whl
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No |
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twine/4.0.2 CPython/3.10.14
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Release files / nipy-0.6.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | nipy-0.6.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 2.6 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.14
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Release files / nipy-0.6.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl
| Download URL | nipy-0.6.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl |
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| Size | 2.6 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 Linux glibc 2.28+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.14
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Release files / nipy-0.6.1-cp39-cp39-macosx_11_0_arm64.whl
| Download URL | nipy-0.6.1-cp39-cp39-macosx_11_0_arm64.whl |
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| Size | 2.2 MB |
| Tags | CPython 3.9 macOS 11.0+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.14
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Release files / nipy-0.6.1-cp39-cp39-macosx_10_10_x86_64.whl
| Download URL | nipy-0.6.1-cp39-cp39-macosx_10_10_x86_64.whl |
|---|---|
| Size | 2.5 MB |
| Tags | CPython 3.9 macOS 10.10+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.14
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Release files / nipy-0.6.1-cp38-cp38-win_amd64.whl
| Download URL | nipy-0.6.1-cp38-cp38-win_amd64.whl |
|---|---|
| Size | 3.0 MB |
| Tags | CPython 3.8 Windows x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.14
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Release files / nipy-0.6.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | nipy-0.6.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 2.6 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.14
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Release files / nipy-0.6.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl
| Download URL | nipy-0.6.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 2.6 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 Linux glibc 2.28+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.14
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Release files / nipy-0.6.1-cp38-cp38-macosx_11_0_arm64.whl
| Download URL | nipy-0.6.1-cp38-cp38-macosx_11_0_arm64.whl |
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| Size | 2.2 MB |
| Tags | CPython 3.8 macOS 11.0+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.14
|
Release files / nipy-0.6.1-cp38-cp38-macosx_10_10_x86_64.whl
| Download URL | nipy-0.6.1-cp38-cp38-macosx_10_10_x86_64.whl |
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| Size | 2.5 MB |
| Tags | CPython 3.8 macOS 10.10+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.14
|
