NiWrap wrappers for Connectome Workbench
Connectome Workbench is an open-source visualization and discovery tool developed for the Human Connectome Project (HCP) at Washington University in St. Louis. It includes wb_view, a GUI-based visualization platform for exploring brain imaging data on cortical surfaces and volumes, and wb_command, a command-line program for performing algorithmic tasks using volume, surface, and grayordinate (CIFTI) data. wb_command is essential for running HCP minimal processing pipelines.
Connectome Workbench is made by Daniel S. Marcus, John Harwell, Timothy S. Coalson, Matthew F. Glasser, David C. Van Essen.
This package contains wrappers only and has no affiliation with the original authors.
Metadata
Release files for niwrap-workbench 1.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| niwrap_workbench-1.1.0.tar.gz | 255.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| niwrap_workbench-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 748.8 kB
Release files / niwrap_workbench-1.1.0.tar.gz
| Download URL | niwrap_workbench-1.1.0.tar.gz |
|---|---|
| Size | 255.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/7.0.0 CPython/3.13.14
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Release files / niwrap_workbench-1.1.0-py3-none-any.whl
| Download URL | niwrap_workbench-1.1.0-py3-none-any.whl |
|---|---|
| Size | 493.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
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twine/7.0.0 CPython/3.13.14
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Security for niwrap-workbench 1.1.0
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