feature-engine has 319K monthly downloads and 2K GitHub stars. Version 1.9.4 supports Python 3.9.0+, first published in 2018.
It is stably maintained under a permissive license, last released in Feb 2026.
It is built on top of numpy, pandas and scikit-learn. It is used by 59 tracked packages, including geocif, spotforecast2-safe and spotforecast2.
GitHub topics include machine-learning, data-science and scikit-learn.
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Dependencies
- numpy >=1.18.2
- pandas >=2.2.0
- scikit-learn >=1.4.0
- scipy >=1.4.1
- statsmodels >=0.11.1
Used By
- geocif
- spotforecast2-safe
- spotforecast2
- wavetrainer
- sk-transformers
- xdat
- panelbeater
- test-classification-model-malc
- titantic-classification-model-aa
- sportsfeatures
- titanicsurvivalmodel100424
- my-regression-model
- heart-dissease-classifier-dgcr
- survival-predictor-model
- titanic-model
- loan-approval-model
- clairvoyance-feature-selection
- movie-recommendation-model
- houbrahim-regression-model
- lasso-regression-model
- car-price-regression-model
- mother-ml
- titanic-model-ashmanova-startzev
- classmodeltitanicdavidanthony
- classification-model-titanic-david-anthony
- kh-regression-model
- tid-mlops-titanic-classification-model
- mlutilities-udea
- glook
- housing-prediction-model
- house-price-models-noom
- mlops-tid-regression-model
- tid-advanced-regression-model
- tid-reg-model
- somorrostro-regression-model
- zrp
- auto-prep
- ez-automl-lite
- shap-app
- druid-ai
- no-regression-model
- tid-price-regression-model
- toxichempy
- tcm-model
- historical2realtime
- end-to-end-ml-project
- marketing-analytics-toolkit
- scipipe
- fuzzylearn
- titanc-survival-predictor