alteryx/featuretools

Health v2 · maintenance only

Adoption not part of the score

7666 stars · 914 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Featuretools is an open-source Python library for automated feature engineering, using Deep Feature Synthesis (DFS) to generate features from relational and temporal data. It integrates with scikit-learn workflows and supports parallel computation via Dask.

Use cases

• automatically generate features from multi-table relational data
• prepare features for machine learning models from timestamped transaction data
• apply deep feature synthesis to a customer transactions dataset
• speed up feature engineering for tabular ML problems
• build an automated feature engineering pipeline in Python
• compute features across related tables without manual joins and aggregations

When to choose

• you have relational or temporal data and want automated feature generation
• you want to reduce manual feature engineering effort in ML pipelines
• you work in Python with pandas, Dask, or scikit-learn ecosystems

When to avoid

• you need deep learning feature extraction from raw images, audio, or text
• your data is a single flat table with no relational structure and simple features suffice
• you need a no-code GUI AutoML platform rather than a Python library

Facets

library · maturity active

machine-learning data-science etl machine-learning data-science python feature-engineering automl deep-feature-synthesis scikit-learn data-preparation automation

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markdown · JSON · MCP: product_card(name="alteryx/featuretools")