Featuretools
An open source Python framework for automated feature engineering, built around Deep Feature Synthesis.
Visit siteLibraries and platforms that turn raw data into machine-learning-ready features — automated generation, synthesis, and selection.
A working list of tools and libraries for automated feature engineering — generating, synthesizing, and selecting the features that feed machine learning models.
An open source Python framework for automated feature engineering, built around Deep Feature Synthesis.
Visit siteAn automated method for performing feature engineering on relational and temporal data.
Visit siteLinear prediction models with automated feature engineering and selection capabilities.
Visit siteA Python package that automatically calculates a large number of time series characteristics, the so-called features.
Visit siteAutomated feature engineering that intelligently extracts features from raw data sources to feed machine learning projects.
Visit siteA Python library with multiple transformers to engineer and select features for use in machine learning models.
Visit siteAutomated, data-centric feature discovery and enterprise AI automation for production-grade machine learning.
Visit siteA Python-based effective feature generation tool from DNA, RNA, and protein sequences. The GitHub repository's last commit was in August 2022, so check its activity before adopting it.
Visit siteA Python library for creating and selecting the best features in your data set fast, powered by the MRMR algorithm. The GitHub repository's last commit was in February 2025, so check its activity before adopting it.
Visit siteLibraries and platforms that create, transform and select input features for machine learning models, often automatically.
Featuretools, Deep Feature Synthesis, autofeat, tsfresh, Feature-engine, dotData, PyFeat, featurewiz and others.
tsfresh extracts features from time series, while Featuretools builds features from relational data through deep feature synthesis.
See the Feature Engineering page for techniques and the Feature Store Solutions page for production feature management.