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.
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!
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.XThis 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.
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.