Feature Extraction Python Packages

tsfresh

Automatic extraction of relevant features from time series:

feature-engine

Feature engineering and selection open-source Python library compatible with sklearn.

efficientnet-pytorch

A PyTorch implementation of EfficientNet

antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

efel

Electrophys Feature Extraction Library

opensmile

Python package for openSMILE

upgini

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

medpy

Medical image processing in Python

tsfel

An intuitive library to extract features from time series.

biosppy

Biosignal Processing in Python

tsflex

Flexible time series feature extraction & processing

torchextractor

Feature extraction made simple with torchextractor

pygribjump

Python interface to GribJump

featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

hogpp

Fast computation of rectangular histogram of oriented gradients (R-HOG) features using integral histogram

junifer

Forschungszentrum Jülich Neuroimaging Feature Extractor

bluepyefe

BluePyEfe: Blue Brain Python E-feature extraction

pyhctsa

The most comprehensive time-series feature extraction package in Python.

blurr-dev

Data aggregation pipeline for running real-time predictive models

mistql

A query / expression language for performing computations on JSON-like structures. Built for easy embedding in applications.

speechpy

:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/

kts

Interactive ML Toolset

collageradiomics

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

galdr

galdr — AI music perception framework. Translates acoustic signal into structures an LLM can encounter. Stateful listener, pattern analysis, harmonic decomposition.