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#feature-selection

Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.

6 records
Tagged “feature-selection”Ranked by health index
PyPI
89Excellenthealth index
feature-engine/feature_engine
Feature engineering and selection open-source Python library compatible with sklearn.
Python★ 2,280Sep 17, 2026
BSD-3-ClauseSep 17, 2026 · metrics 2.10.0
PyPI · npm
87Excellenthealth index
rodrigo-arenas/Sklearn-genetic-opt
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Python★ 390↓ 2,817/moOct 10, 2026
MITOct 10, 2026 · metrics 2.10.0
PyPI
86Excellenthealth index
GiacomoSaccaggi/scomp_link
End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.
Python★ 12↓ 2,313/moSep 9, 2026
MITSep 9, 2026 · metrics 2.10.0
PyPI
80Excellenthealth index
upgini/upgini
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
Python · Jupyter Notebook★ 357↓ 17.7K/moSep 16, 2026
BSD-3-ClauseSep 16, 2026 · metrics 2.10.0
PyPI
75Goodhealth index
mdefrance/AutoCarver
Automatic optimal discretization pipeline
Python★ 11↓ 1,387/moSep 14, 2026
MITSep 14, 2026 · metrics 2.10.0
PyPI
34At Riskhealth index
alteryx/evalml
EvalML is an AutoML library written in python.
Python★ 852↓ 9,780/moAug 24, 2026
BSD-3-ClauseAug 24, 2026 · metrics 2.10.0