Featuretools

What it is

Featuretools is a library that automates the process of transforming transactional and relational datasets into feature matrices for machine learning using reusable feature engineering primitives.

Featuretools stands out by providing a comprehensive solution for automated feature engineering, making it easier to prepare complex datasets for machine learning without manual intervention.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited support for non-relational data types

   Featuretools excels with relational and transactional datasets but lacks robust primitives for time-series or unstructured data

2. 02

   Performance issues with large datasets

   Processing time increases exponentially with dataset size, causing delays in feature engineering pipelines

What it does well

• Automated feature engineering using primitives

• Support for relational and transactional datasets

• Integration with popular machine learning libraries

• Customizable feature generation pipelines

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.