netneurotools: Tools for network neuroscience
This toolbox is a collection of functions written in Python that get frequent usage in the Network Neuroscience Lab, housed in the Brain Imaging Centre at McGill University.
Features
Netneurotools provides a wide range of tools for network neuroscience research.
A range of useful datasets fetchers
Network construction: empirical and surrogate
Network (graph) metrics calculation: up-to-date and optimized
Brain and network visualization
Optimized statistics routines
Convenient interface for external tools
And much more!
Check out our documentation for more information!
Installation
You can install directly from PyPi with pip install netneurotools.
This package is under active development. We recommend installing the latest version with
pip install git+https://github.com/netneurolab/netneurotools.gitIf you are looking for the earlier version of the toolbox before the recent breaking changes, you can install it with
pip install git+https://github.com/netneurolab/netneurotools.git@0.2.XDevelopment
This package has been developed by members of the Network Neuroscience Lab in pursuit of their research. While we’ve made every effort to ensure these tools work and have some documentation, there is always room for improvement! If you’ve found a bug, are experiencing a problem, or have a question, create a new issue with some information about it and one of our team members will do our best to help you.
License Information
This codebase is licensed under the 3-clause BSD license. The full license can be found in the LICENSE file in the netneurotools distribution.
All trademarks referenced herein are property of their respective holders.
4 maintainers
Metadata
4 maintainers
Release files for netneurotools 0.3.0
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Total release size: 253.7 kB
Release files / netneurotools-0.3.0.tar.gz
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