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An open source python library for automated feature engineering
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.
Feature engineering and selection open-source Python library compatible with sklearn.
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
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.