netneurolab/netneurotools
Useful tools from the Network Neuroscience Lab
netneurotools: Tools for network neuroscience
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This toolbox is a collection of functions written in Python that get frequent
usage in the Network Neuroscience Lab <https://netneurolab.github.io/>, housed in
the Brain Imaging Centre <https://www.mcgill.ca/bic/home> at
McGill University <https://www.mcgill.ca/>_.
The accompanying paper can be found on bioRxiv <https://www.biorxiv.org/content/10.1101/2025.09.09.675160v1>_.
.. _features:
Features
Netneurotools provides a wide range of tools for network neuroscience research.
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A range of useful datasets fetchers
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Network construction: empirical and surrogate
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Network (graph) metrics calculation: up-to-date and optimized
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Brain and network visualization
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Optimized statistics routines
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Convenient interface for external tools
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And much more!
Check out our documentation <https://netneurolab.github.io/netneurotools/>_
for more information!
.. _installation:
Installation
You can install directly from PyPi with :code:pip install netneurotools.
This package is under active development. We recommend installing the latest version
with
.. code-block:: bash
pip install git+https://github.com/netneurolab/netneurotools.git
If you are looking for the earlier version of the toolbox before the recent breaking changes,
you can install it with
.. code-block:: bash
pip install git+https://github.com/netneurolab/netneurotools.git@0.2.X
.. _development:
Development
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 <https://github.com/netneurolab/netneurotools/issues>_ with some
information about it and one of our team members will do our best to help you.
.. _citation:
Citation
If you use the toolbox, please cite our pre-print <https://www.biorxiv.org/content/10.1101/2025.09.09.675160v1>_.
Importantly, netneurotools often implements and builds on tools that have
been previously developed, and we redistribute datasets that were acquired
elsewhere. If you use the toolbox, please also ensure proper attribution to the
original work, using the references found in the docstrings or in the
Reference API.
.. _licensing:
License Information
This codebase is licensed under the 3-clause BSD license. The full license can
be found in the LICENSE <https://github.com/netneurolab/netneurotools/blob/ master/LICENSE>_ file in the netneurotools distribution.
All trademarks referenced herein are property of their respective holders.
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