PyPREP is a Python implementation of the PREP (Preprocessing Pipeline) for EEG data, designed to detect and interpolate noisy channels, perform robust referencing, and filter data. Current version 0.6.0, with monthly releases.
pip install pyprepNo compatibility data collected yet for this library.
Verified import paths — ran on the pinned version, not inferred.
Load a raw MNE object and apply the PREP pipeline for channel noise detection, robust referencing, and interpolation.
raw.set_channel_types({ch: 'eeg' for ch in raw.ch_names})Use 'from pyprep.noisy_channels import NoisyChannels'.
Always include 'reref_ch' in prep_params, even if empty.
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