The Best Feature Engine Alternatives in 2026

The Featuretools Python library supports automated feature engineering and is published as open source.

PyCaret provides a low code AutoML platform for Python, with a scikit-learn native engine and React control plane.

tsfresh automatically extracts relevant features from time series data.

Snorkel helps generate training data programmatically through weak supervision.

Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.

mljar-supervised provides tabular data AutoML with feature engineering, hyperparameter tuning, explanations, and documentation.

modAL provides a modular active learning framework for Python built on top of scikit-learn.

Python library for decision tree visualization and model interpretation.

19 Questions assigns attributes to objects using machine learning and Bayesian inference, according to its project description.

oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.

DVC tracks data versions and machine learning experiments for collaborative development.

Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

This project profiles data quality and supports exploratory analysis of Pandas and Spark DataFrames.

Lance provides an open lakehouse format for multimodal AI, with vector indexing and data versioning.

nilearn provides Python tools for machine learning and neuroimaging analysis.

A Python package to assess and improve fairness of machine learning models.

Python package which helps to debug machine learning classifiers and explain their predictions.

An open source Python library for drift detection in machine learning systems.

The lightly Python library supports self supervised learning on images.

Modin scales Pandas data workflows by changing a single line of code in a project.

pytorch tabular provides a unified framework for deep learning models on tabular data.

NALP covers Natural Adversarial Language Processing through a dedicated library.

neuropredict evaluates predictive performance using neuroimaging features.

AutoViz automatically creates visualizations for datasets of different sizes from a single line of code.