Skip to main content

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.

Project description

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.

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

niwrap_workbench-1.0.0.tar.gz (236.9 kB view details)

Uploaded Source

Built Distribution

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

niwrap_workbench-1.0.0-py3-none-any.whl (467.2 kB view details)

Uploaded Python 3

File details

Details for the file niwrap_workbench-1.0.0.tar.gz.

File metadata

  • Download URL: niwrap_workbench-1.0.0.tar.gz
  • Upload date:
  • Size: 236.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for niwrap_workbench-1.0.0.tar.gz
Algorithm Hash digest
SHA256 fdbafc593c7f46516775fc207f2d85490f316348de0500fd4918fbe2052a969d
MD5 6bd56eb5d839091194e1309edf563a33
BLAKE2b-256 02cde195cc7a707cff077f4356a97b564e433d5a37a940722a84616d430a4553

See more details on using hashes here.

File details

Details for the file niwrap_workbench-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for niwrap_workbench-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c99623ab54f61656ebc4881a0ca781e4636c2f2f03f94524f5a7fe22fad99419
MD5 95aed8991b8cbc2a0a5567a4a471d915
BLAKE2b-256 f3f7858e89993c0f081edd5ecfc36179cc940ffb680d857a3ac5dbd4efc9bd81

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page