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figure::  https://github.com/brainets/frites/blob/master/docs/source/_static/logo_desc.png\n    :align:  center\n\n\nFrites\n======\n\n.. image:: https://github.com/brainets/frites/actions/workflows/test_doc.yml/badge.svg\n    :target: https://github.com/brainets/frites/actions/workflows/test_doc.yml\n\n.. image:: https://github.com/brainets/frites/actions/workflows/flake.yml/badge.svg\n    :target: https://github.com/brainets/frites/actions/workflows/flake.yml\n\n.. image:: https://travis-ci.org/brainets/frites.svg?branch=master\n    :target: https://travis-ci.org/brainets/frites\n\n.. image:: https://codecov.io/gh/brainets/frites/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/brainets/frites\n\n.. image:: https://badge.fury.io/py/frites.svg\n    :target: https://badge.fury.io/py/frites\n\n.. image:: https://pepy.tech/badge/frites\n    :target: https://pepy.tech/project/frites\n\n.. image:: https://zenodo.org/badge/213869364.svg\n    :target: https://zenodo.org/badge/latestdoi/213869364\n\n.. image:: https://joss.theoj.org/papers/437a7362501b2ea984e1d4fed4646076/status.svg\n    :target: https://joss.theoj.org/papers/437a7362501b2ea984e1d4fed4646076\n\n\n.. _Documentation: https://brainets.github.io/frites/\n.. |Documentation| replace:: **Documentation**\n\n.. _Installation: https://brainets.github.io/frites/install.html\n.. |Installation| replace:: **Installation**\n\n.. _Usage: https://brainets.github.io/frites/auto_examples/index.html\n.. |Usage| replace:: **Usage example**\n\n.. _API: https://brainets.github.io/frites/api/index.html\n.. |API| replace:: **List of functions**\n\n.. _Cite: https://brainets.github.io/frites/overview/ovw_cite.html\n.. |Cite| replace:: **Cite Frites**\n\n|Documentation|_ | |Installation|_ | |Usage|_ | |API|_ | |Cite|_\n\n\nDescription\n===========\n\n`Frites \u003chttps://brainets.github.io/frites/\u003e`_ is a Python toolbox for assessing information-theorical measures on human and animal neurophysiological data (M/EEG, Intracranial). The aim of Frites is to extract task-related cognitive brain networks (i.e modulated by the task). The toolbox also includes directed and undirected connectivity metrics such as group-level statistics. Frites documentation is available online at https://brainets.github.io/frites/\n\n.. figure::  https://github.com/brainets/frites/blob/master/docs/source/_static/network_framework.png\n    :align:  center\n\n\nInstallation\n============\n\nRun the following command into your terminal to get the latest stable version :\n\n.. code-block:: shell\n\n    pip install -U frites\n\n\nYou can also install the latest version of the software directly from Github :\n\n.. code-block:: shell\n\n    pip install git+https://github.com/brainets/frites.git\n\n\nFor developers, you can install it in develop mode with the following commands :\n\n.. code-block:: shell\n\n    git clone https://github.com/brainets/frites.git\n    cd frites\n    python setup.py develop\n    # or : pip install -e .\n\nDependencies\n++++++++++++\n\nThe main dependencies of Frites are :\n\n* `Numpy \u003chttps://numpy.org/\u003e`_\n* `Scipy \u003chttps://www.scipy.org/\u003e`_\n* `MNE Python \u003chttps://mne.tools/stable/index.html\u003e`_\n* `Xarray \u003chttp://xarray.pydata.org/en/stable/\u003e`_\n* `Joblib \u003chttps://joblib.readthedocs.io/en/latest/\u003e`_\n\nIn addition to the main dependencies, here's the list of additional packages that you might need :\n\n* `Numba \u003chttp://numba.pydata.org/\u003e`_ : speed up the computations of some functions\n* `Dcor \u003chttps://dcor.readthedocs.io/en/latest/\u003e`_ for fast implementation of distance correlation\n* `Matplotlib \u003chttps://matplotlib.org/\u003e`_, `Seaborn \u003chttps://seaborn.pydata.org/\u003e`_ and `Networkx \u003chttps://networkx.github.io/\u003e`_ for plotting the examples\n* Some example are using `scikit learn \u003chttps://scikit-learn.org/stable/index.html\u003e`_ estimators\n\nAcknowledgments\n===============\n\nSee `acknowledgments \u003chttps://brainets.github.io/frites/overview/ovw_acknowledgments.html\u003e`_\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrainets%2Ffrites","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbrainets%2Ffrites","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrainets%2Ffrites/lists"}