Skip to main content

Assistive tool to improve the quality control workflow of neuroimaging data.

Project description

VisualQC : Assistive tool to ease the quality control workflow of neuroimaging data

https://zenodo.org/badge/105958496.svg https://img.shields.io/pypi/v/visualqc.svg https://api.codacy.com/project/badge/Grade/2da8c2b4dbcd433eb4943eb52f0b00d6 docs/visualqc_poster_comprehensive.png

Note: VisualQC employs release early and release often mechanism to seek user feedback and for thorough testing. Hence you might find some rough edges in docs or examples - please let us know if you do.

  • Documentation: https://raamana.github.io/visualqc
  • Free software: Apache 2.0 license
  • Pure python package (no licensing issues ala matlab, easy to install and update requiring no other external installations or maintenance)
  • Generic design for API that can be adapted for other domains, imaging or medical or otherwise.

History

0.3 (2018-04-02)

  • Major update with multiple new use cases:

0.1 (2018-02-08)

  • Early access release on PyPI/github.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
visualqc-0.3.5-py3-none-any.whl (98.8 kB) Copy SHA256 hash SHA256 Wheel py3
visualqc-0.3.5.tar.gz (107.8 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page