cortex-example VS fooof

Compare cortex-example vs fooof and see what are their differences.

cortex-example

Example with Cortex V2/V3 API (by Emotiv)
cortex epoc epocplus epocx insight Eeg neuroscience
Source Code
emotiv.com
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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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cortex-example fooof
1 1
181 340
1.7% 2.1%
5.3 9.0
5 months ago 4 days ago
C# Python
MIT License Apache License 2.0
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.

cortex-example

Posts with mentions or reviews of cortex-example. We have used some of these posts to build our list of alternatives and similar projects.
  • EEG headset for measuring cognitive engagement?
    1 project | /r/BCI | 29 Nov 2022
    Emotiv does offer power band at 8Hz for free https://emotiv.gitbook.io/cortex-api/data-subscription. They also provide example code on their GitHub https://github.com/Emotiv/cortex-v2-example. As long as you are familiar with one of those coding languages, setup is fast after reading through the README. But if you are requiring something be easy to learn in under 3 minutes then you might want to consider other options.

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.

What are some alternatives?

When comparing cortex-example and fooof you can also consider the following projects:

brainflow - BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

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

python-meegkit - 🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python

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

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"

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

cortex-example vs brainflow fooof vs EEGwithRaspberryPI fooof vs python-meegkit fooof vs Kilosort fooof vs NeuroKit fooof vs EEGwithRaspberryPI fooof vs brainstorm3 fooof vs TS-TCC fooof vs braindecode