Feature Engineering Python Packages

feature-engine

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

featuretools

An open source python library for automated feature engineering

sf-hamilton

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

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

apache-hamilton

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

tsfel

An intuitive library to extract features from time series.

autots

Automated Time Series Forecasting

autocarver

Automatic optimal discretization pipeline

sf-hamilton-sdk

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

tsflex

Flexible time series feature extraction & processing

sf-hamilton-ui

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

evalml

EvalML is an AutoML library written in python.

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.

arfs

All Relevant Feature Selection

aligned

The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

sf-hamilton-lsp

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

nvtabular

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

pixeltable

Declarative and Incremental Backend for Multimodal AI Applications

divik

Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.

feathub-nightly

FeatHub - A stream-batch unified feature store for real-time machine learning

hyperactive

A unified interface for optimization algorithms and experiments