Feature Engineering & Data Preparation

Open-source Python library for automated feature engineering. Transforms transactional and relational datasets into feature matrices for machine learning using Deep Feature Synthesis with reusable primitives. BSD-3-Clause licensed.

Toolbox for production-ready data science. Uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular. Apache 2.0 licensed.

Python library with multiple transformers to engineer and select features for machine learning models. scikit-learn compatible with fit() and transform() methods for encoding, imputation, variable transformation, and feature selection. BSD-3-Clause licensed.

GPU-accelerated feature engineering and preprocessing library for tabular data. Manipulates terabyte-scale datasets to train deep learning recommender systems. Component of NVIDIA Merlin framework. Apache 2.0 licensed.

Open-source machine learning database providing a feature platform for consistent features between training and inference. Real-time relational data feature computation system for online ML applications. Apache 2.0 licensed.