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.

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.

tsfel

An intuitive library to extract features from time series.

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

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.

evalml

EvalML is an AutoML library written in python.

autots

Automated Time Series Forecasting

tsflex

Flexible time series feature extraction & processing

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.

inference-logging-client

BharatMLStack is an open-source, end-to-end machine learning infrastructure stack built at Meesho to support real-time and batch ML workloads at Bharat scale

pixeltable

Unified multimodal backend for AI data apps

fastcan

A fast canonical-correlation-based search algorithm for feature selection, system identification, data pruning, etc.

rfscorer

Recency-Frequency based recommendation scoring for product recommendation.

mljar-supervised

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

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.

divik

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

arfs

All Relevant Feature Selection

hyperactive

A unified interface for optimization algorithms and experiments

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.

aligned

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