NeuroImaging workflows (NiWorkflows): robust processing tools for MRI data
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/
Release files for niworkflows 1.15.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| niworkflows-1.15.3.tar.gz | 74.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| niworkflows-1.15.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 74.8 MB
Release files / niworkflows-1.15.3.tar.gz
| Download URL | niworkflows-1.15.3.tar.gz |
|---|---|
| Size | 74.3 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.11
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Release files / niworkflows-1.15.3-py3-none-any.whl
| Download URL | niworkflows-1.15.3-py3-none-any.whl |
|---|---|
| Size | 540.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.11
|
