Frites
Documentation | Installation | Usage example | List of functions | Cite 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. 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 fritesYou can also install the latest version of the software directly from Github :
pip install git+https://github.com/brainets/frites.gitFor 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 :
Numba : speed up the computations of some functions
Dcor for fast implementation of distance correlation
Matplotlib, Seaborn and Networkx for plotting the examples
Some example are using scikit learn estimators
Acknowledgments
See acknowledgments
2 maintainers
Release files for frites 0.4.5
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Source distribution (sdist)
| File | Size | Uploaded | |
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| frites-0.4.5.tar.gz | 114.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| frites-0.4.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:264.7 kB
Release files / frites-0.4.5.tar.gz
| Download URL | frites-0.4.5.tar.gz |
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| Size | 114.5 kB |
| Tags | Source |
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Transparency logRelease files / frites-0.4.5-py3-none-any.whl
| Download URL | frites-0.4.5-py3-none-any.whl |
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| Size | 150.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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