The Best Featuretools Alternatives in 2026

Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.

tsfresh automatically extracts relevant features from time series data.

Snorkel helps generate training data programmatically through weak supervision.

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

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

Python library for decision tree visualization and model interpretation.

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

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

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

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

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

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

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

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

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

The lightly Python library supports self supervised learning on images.

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.

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

NALP covers Natural Adversarial Language Processing through a dedicated library.

neuropredict evaluates predictive performance using neuroimaging features.

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

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