fooof VS python-meegkit

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

fooof

Parameterizing neural power spectra into periodic & aperiodic components. (by fooof-tools)
Electrophysiology oscillations power-spectral-density neuroscience local-field-potential Eeg Meg ecog lfp
Source Code
fooof-tools.github.io
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python-meegkit

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python (by nbara)
Eeg Meg denoising signal-processing dss cca Python binder-ready eeg-processing neuroscience
Source Code
nbara.github.io
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fooof python-meegkit
1 1
340 167
2.1% -
9.0 4.4
12 days ago 27 days ago
Python Python
Apache License 2.0 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.

fooof

Posts with mentions or reviews of fooof. We have used some of these posts to build our list of alternatives and similar projects.
  • Issues interpreting EEG data
    1 project | /r/clinicalEEG | 2 May 2023
    If you have experience with Python, you can use the FOOOF (Fitting Oscillations & One Over F) toolbox to analyze your EEG data and find the highest peak in the theta band for each electrode.

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 fooof and python-meegkit you can also consider the following projects:

EEGwithRaspberryPI - Open-Source board for converting RaspberryPI to Brain-computer interface [Moved to: https://github.com/HackerBCI/EEGwithRaspberryPI]

brainconn - Brainconn - an R package for visualising brain connectivity data in 2D and interactive 3D

Kilosort - Fast spike sorting with drift correction for up to a thousand channels

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

NeuroKit - NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

EEGwithRaspberryPI - Open-Source board for converting RaspberryPI to Brain-computer interface

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

TS-TCC - [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

fooof vs EEGwithRaspberryPI python-meegkit vs brainconn fooof vs Kilosort python-meegkit vs braindecode fooof vs NeuroKit python-meegkit vs NeuroKit fooof vs EEGwithRaspberryPI fooof vs brainstorm3 fooof vs TS-TCC fooof vs braindecode