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AFQ-browser is a software library for visualization of results from automated fiber quantification of human brain tractography.

The software takes as input the results of analysis from the AFQ or pyAFQ software and produces a browser-based visualization of the data. Command-line tools allow users to create these visualizations from their data and upload them to share with others as a website.

See https://yeatmanlab.github.io/AFQ-Browser/ for documentation

See: https://yeatmanlab.github.io/AFQBrowser-demo/ for a working example

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Browser-based visualization tools for AFQ results

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  • JavaScript 46.5%
  • Jupyter Notebook 31.0%
  • Python 14.8%
  • CSS 4.8%
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