A python package for extracting EEG features (detailed in the article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital Health, 2020). EEGExtract allows for rapid extractions of dozens of diverse types of EEG features, enabling rapid preprocessing and outlier detection, as well as application of ML classification algorithms for downstream tasks. EEGExtract has been used in emotion recognition, movement intention identification, epilepsy biomarkers discovery and much more.