No. 10 of 27 ·Data Preparation Software

Feature-engine

Linux

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Freedom report

One barScore 5.3

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely1 of 6 device platforms
DocumentedPlans, terms and facts published

Feature-engine is ranked #10 of 27 in data preparation software on Freedom251. It runs on Linux.

Compared on data preparation software

Free plan: Yes
Deployment: self_hosted

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The record

Purpose: Feature-engine is a Python library with transformers to engineer and select features for machine-learning models.
Feature operations: Its transformers cover imputation, categorical encoding, discretisation, outlier handling, transformation, feature creation and selection, and date, text and time-series feature extraction.
Dataframes: The library is designed to work with dataframes and says transformed dataframes retain their column names and order.
Pipelines: Transformers use scikit-learn-style fit() and transform() methods and are compatible with scikit-learn pipelines, cross-validation and hyperparameter search.
Variable selection: Transformers let users choose which variables to transform, and the project says it supports a wide range of feature-selection techniques.
Installation: The documentation says Feature-engine is a Python 3 package for Python 3.9 or later and can be installed with pip or conda.
Integration: The project describes itself as sitting at the interface of pandas and scikit-learn, wrapping pandas functionality in scikit-learn-like transformers.
Intended users: The documentation says the library is suited to people whose machine-learning data work primarily uses pandas and scikit-learn.
License: The repository provides Feature-engine under the BSD 3-Clause License.
Security reporting: The project’s security policy supports version 1.9.x, directs vulnerability reports to GitHub security advisories or email, and says accepted issues are patched privately for a dedicated bug-fix release.
Support and community: The governance page directs contributors to GitHub issues and the Gitter community.
Governance: The project documentation names Soledad Galli as founder and says she has final decision authority, while noting that in practice she defers to community discussion and core contributors.
Distribution: The documentation provides pip and conda installation commands, and the repository offers source code on GitHub.

Where it ranks on Freedom251

Best Data Preparation Software in 2026#10 of 27

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Sources

feature-engine.trainindata.com/en/latest/· checked 4 Oct 2026
github.com/feature-engine/feature_engine/blob/main· checked 4 Oct 2026
github.com/feature-engine/feature_engine/blob/main· checked 4 Oct 2026
feature-engine.trainindata.com/en/latest/about/governance.html· checked 4 Oct 2026