brainlib

for background, consult the following tutorials: Pre-processing EEG data from consumer devices, and Building a simple BCI with a Neursosky MindWave

use

The main function you should use is makeFeatureVector (readings, bins) where readings is a list of lists, where each sub-list is 1024 raw values from the neurosky device. bins is a number of bins - 100 is a sane starting value here (see tutorials above for more details).

import brainlib
brainlib.makeFeatureVector(readings, 100)