brainconn VS python-meegkit

Compare brainconn vs python-meegkit and see what are their differences.

brainconn

Brainconn - an R package for visualising brain connectivity data in 2D and interactive 3D (by sidchop)
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brainconn python-meegkit
1 1
36 167
- -
5.1 4.4
4 months ago 25 days ago
R Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

brainconn

Posts with mentions or reviews of brainconn. We have used some of these posts to build our list of alternatives and similar projects.

python-meegkit

Posts with mentions or reviews of python-meegkit. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing brainconn and python-meegkit you can also consider the following projects:

brainstorm3 - Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology

fooof - Parameterizing neural power spectra into periodic & aperiodic components.

geomnet - Examples and data for geom_net

braindecode - Deep learning software to decode EEG, ECG or MEG signals

zeffiro_interface - Interface for using finite elements in inverse problems with complex domains

NeuroKit - NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing