ScriptAI for Codev1.1

Automated Feature Engineering

by Alteryx · open-source · Last verified 2026-03-17

Applies Deep Feature Synthesis via Featuretools and AutoFeat to automatically generate hundreds of candidate features from relational tabular data, then prunes them using mutual information and SHAP-based importance filters. Produces a reproducible feature pipeline serializable to scikit-learn format.

https://github.com/alteryx/featuretools ↗

C+

C+—Average

Adoption: BQuality: AFreshness: ACitations: C+Engagement: F

Specifications

License: BSD-3-Clause
Pricing: open-source
Capabilities: deep-feature-synthesis, importance-pruning, sklearn-pipeline, relational-data
Integrations: featuretools, scikit-learn, shap, pandas
Use Cases: churn-prediction, fraud-detection, credit-scoring
API Available: No
Language: python
Dependencies: featuretools, autofeat, shap, scikit-learn, pandas, numpy
Environment: Python 3.10+
Est. Runtime: 5-60 minutes (dataset-dependent)
Tags: feature-engineering, featuretools, automl, deep-feature-synthesis, tabular
Added: 2026-03-17
Completeness: 100%

Index Score

58.1

Adoption

Quality

Freshness

Citations

Engagement

Explore the full AI ecosystem on Agents as a Service