brainnets | Python library for performing network analysis for fMRI data

by rmkujala Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | brainnets Summary

brainnets is a Python library. brainnets has no bugs, it has no vulnerabilities and it has low support. However brainnets build file is not available and it has a Non-SPDX License. You can download it from GitHub.

This is a collection of functions and scripts for analyzing fMRI data using networks using Python and igraph. Currently the framework is capable of dealing with networks up to thousands of nodes. Parts of the code is currently 'tailored' for use within the NBE and CS departments at Aalto University. However, with a little effort it can be made to meet the standards of a wider audience. So please have a look what we've got, and let us know if you're interested in using this code. Then we can make some efforts to make the code and its functions accessible for a wider audience. For methods related to network coarse-graining, see especially modules compcoms.py and communities.py. Point of contact: Rainer.Kujala@aalto.fi.

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Support

brainnets has a low active ecosystem.

It has 1 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

brainnets has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of brainnets is current.

Quality

brainnets has no bugs reported.

Security

brainnets has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

brainnets has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

brainnets releases are not available. You will need to build from source code and install.

brainnets has no build file. You will be need to create the build yourself to build the component from source.

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brainnets Key Features

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brainnets Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install brainnets

You can download it from GitHub.
You can use brainnets like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.