Skip to main content

Framework of Information Theory for Electrophysiological data and Statistics

Project description

https://github.com/brainets/frites/workflows/frites/badge.svg https://travis-ci.org/brainets/frites.svg?branch=master https://circleci.com/gh/brainets/frites.svg?style=svg https://codecov.io/gh/brainets/frites/branch/master/graph/badge.svg https://badge.fury.io/py/frites.svg https://pepy.tech/badge/frites
https://github.com/brainets/frites/blob/master/docs/source/_static/logo_desc.png

Frites

Description

Frites 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.

https://github.com/brainets/frites/blob/master/docs/source/_static/network_framework.png

Documentation

Frites documentation is available online at https://brainets.github.io/frites/

Installation

Run the following command into your terminal to get the latest stable version :

pip install -U frites

You can also install the latest version of the software directly from Github :

pip install git+https://github.com/brainets/frites.git

For developers, you can install it in develop mode with the following commands :

git clone https://github.com/brainets/frites.git
cd frites
python setup.py develop
# or : pip install -e .

Dependencies

The main dependencies of Frites are :

In addition to the main dependencies, here’s the list of additional packages that you might need :

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for frites, version 0.3.8
Filename, size File type Python version Upload date Hashes
Filename, size frites-0.3.8-py3-none-any.whl (90.2 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size frites-0.3.8.tar.gz (67.5 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page