Feature Selection Frameworks

Tools and libraries for selecting optimal features/variables in datasets using statistical methods, wrapper algorithms, metaheuristics, and filter-based approaches. Does NOT include general hyperparameter tuning, model optimization, or dimensionality reduction techniques.

There are 71 feature selection frameworks tracked. 3 score above 70 (verified tier). The highest-rated is feature-engine/feature_engine at 87/100 with 2,211 stars and 334,479 monthly downloads. 1 of the top 10 are actively maintained.

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#	Framework	Score	Tier	Stars	Language
1	feature-engine/feature_engine Feature engineering and selection open-source Python library compatible with sklearn.	87	Verified	2,211	Python
2	alteryx/featuretools An open source python library for automated feature engineering	79	Verified	7,622	Python
3	cod3licious/autofeat Linear Prediction Model with Automated Feature Engineering and Selection Capabilities	73	Verified	537	Python
4	abess-team/abess Fast Best-Subset Selection Library	69	Established	491	C++
5	rodrigo-arenas/Sklearn-genetic-opt ML hyperparameters tuning and features selection, using evolutionary algorithms.	68	Established	356	Python
6	abhayspawar/featexp Feature exploration for supervised learning	67	Established	760	Jupyter Notebook
7	decile-team/cords Reduce end to end training time from days to hours (or hours to minutes),...	60	Established	346	Jupyter Notebook
8	rasgointelligence/feature-engineering-tutorials Data Science Feature Engineering and Selection Tutorials	60	Established	290	Jupyter Notebook
9	scikit-learn-contrib/fastcan A fast canonical-correlation-based search algorithm for feature selection,...	56	Established	15	Python
10	thieu1995/mafese Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library...	56	Established	95	Python
11	Quantco/polarify Simplifying conditional Polars Expressions with Python 🐍 🐻‍❄️	55	Established	138	Python
12	hengzhe-zhang/EvolutionaryForest An open source python library for automated feature engineering based on...	53	Established	158	Python
13	aikho/awesome-feature-engineering A curated list of resources dedicated to Feature Engineering Techniques for...	51	Established	599	—
14	alteryx/open_source_demos A collection of demos showcasing automated feature engineering and machine...	51	Established	504	Jupyter Notebook
15	duxuhao/Feature-Selection Features selector based on the self selected-algorithm, loss function and...	51	Established	679	Python
16	solegalli/feature-selection-for-machine-learning Code repository for the online course Feature Selection for Machine Learning	51	Established	343	Jupyter Notebook
17	solegalli/feature-engineering-for-machine-learning Code repository for the online course Feature Engineering for Machine Learning	51	Established	409	Jupyter Notebook
18	kaushalshetty/FeatureSelectionGA Feature Selection using Genetic Algorithm (DEAP Framework)	50	Established	377	Python
19	jmschrei/apricot apricot implements submodular optimization for the purpose of selecting...	49	Emerging	528	Jupyter Notebook
20	martineastwood/featuristic Automated, interpretable feature engineering using symbolic regression and...	49	Emerging	7	Python
21	pedbrgs/PyCCEA A Python package of cooperative co-evolutionary algorithms for feature...	48	Emerging	15	Python
22	EmilHvitfeldt/feature-engineering-az Source for book "Feature Engineering A-Z"	47	Emerging	157	HTML
23	dorukcanga/AutoFeatSelect A python library to automate feature selection process for machine learning projects.	47	Emerging	64	Python
24	JingweiToo/Wrapper-Feature-Selection-Toolbox This toolbox offers more than 40 wrapper feature selection methods include...	47	Emerging	187	MATLAB
25	smazzanti/mrmr mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.	47	Emerging	623	Python
26	ashishpatel26/Amazing-Feature-Engineering Feature engineering is the process of using domain knowledge to extract...	45	Emerging	774	Jupyter Notebook
27	EC-KitY/EC-KitY EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary...	45	Emerging	102	Python
28	solegalli/feature-selection-in-machine-learning-book Code repository for the book feature selection in machine learning	44	Emerging	40	Jupyter Notebook
29	anujdutt9/Feature-Selection-for-Machine-Learning Methods with examples for Feature Selection during Pre-processing in Machine...	43	Emerging	364	Jupyter Notebook
30	Tinny-Robot/DimSense DimSense: Empower your machine learning projects with advanced feature...	43	Emerging	13	Python
31	Yimeng-Zhang/feature-engineering-and-feature-selection A Guide for Feature Engineering and Feature Selection, with implementations...	43	Emerging	1,639	Jupyter Notebook
32	NITRO-AI/NitroFE NitroFE is a Python feature engineering engine which provides a variety of...	43	Emerging	108	Python
33	YC-Coder-Chen/feature-engineering-handbook A practical feature engineering handbook	42	Emerging	333	Jupyter Notebook
34	dataclr/dataclr Feature selection for tabular datasets using advanced filter and wrapper methods	35	Emerging	20	Python
35	dwave-examples/feature-selection-notebook Feature selection for machine learning using mutual information.	32	Emerging	15	Jupyter Notebook
36	JingweiToo/Whale-Optimization-Algorithm-for-Feature-Selection Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.	32	Emerging	28	MATLAB
37	thieu1995/MHA-FS The biggest module developed with complete focus on Feature Selection (FS)...	31	Emerging	21	Python
38	solegalli/feature-selection-with-feature-engine-book Code repository for the book Feature engineering with Feature-engine	30	Emerging	15	Jupyter Notebook
39	for0nething/RECON Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning	29	Experimental	15	Python
40	UniFeat/unifeat An open-source tool for performing feature selection process in different...	28	Experimental	9	Java
41	PatrickZH/Awesome-Coreset-Selection Awesome coreset/core-set/subset/sample selection works.	28	Experimental	181	—
42	JingweiToo/Ant-Colony-Optimization-for-Feature-Selection Implantation of ant colony optimization (ACO) without predetermined number...	27	Experimental	10	MATLAB
43	FlorinAndrei/fast_feature_selection Genetic algorithms and CMA-ES (covariance matrix adaptation evolution...	26	Experimental	17	Jupyter Notebook
44	atif-hassan/RCAP-dynamic-dataset-pruning DataCull is a modular, light-weight data pruning library containing many...	23	Experimental	5	Python
45	autonlab/AutonFeat A High Performance Library for Time-Series Featurization.	23	Experimental	25	Python
46	thibaultanani/TiDE Feature selection for real ML pipelines: filters, wrappers, and...	22	Experimental	—	Python
47	aliasgharheidaricom/Polar-Lights-Optimizer-Algorithm-and-Applications-in-Image-Segmentation-and-Feature-Selection Polar Lights Optimizer (PLO) introduces unique strategies based on the...	22	Experimental	7	MATLAB
48	gdelrioifc/AMPFeatureSelection Wrapper-method to select sub-set of features for classifying antimicrobial peptides	22	Experimental	1	Java
49	Eligoze75/megumi megumi is a Python library for smarter feature selection. Like its namesake,...	22	Experimental	—	Jupyter Notebook
50	cowana-ai/feature-fabrica Open-source Python library designed to improve engineering practices and...	21	Experimental	8	Jupyter Notebook
51	JingweiToo/Salp-Swarm-Algorithm-for-Feature-Selection Application of Salp Swarm Algorithm (SSA) in the feature selection tasks.	21	Experimental	10	MATLAB
52	JingweiToo/Sine-Cosine-Algorithm-for-Feature-Selection Application of Sine Cosine Algorithm (SCA) in the feature selection tasks.	21	Experimental	10	MATLAB
53	jordandelbar/feature-engineering-polars Feature engineering done with Polars	21	Experimental	10	Python
54	StatguyUser/feature_engineering_and_selection_for_explanable_models Code repository for the machine learning book Feature Engineering &...	20	Experimental	8	Jupyter Notebook
55	Techtonique/bcn Boosted Configuration (Neural) Networks	19	Experimental	5	R
56	luukka76/Feature-selection-method-based-on-entropy-and-similarity-python-codes Python codes for feature selection method based on fuzzy entropy and similarity.	17	Experimental	5	Jupyter Notebook
57	NhanPhamThanh-IT/Feature-Engineering-Technique 📊 A practical toolkit for feature engineering and selection in Python....	15	Experimental	15	Jupyter Notebook
58	farhadabedinzadeh/AutoUFSTool Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection	15	Experimental	20	MATLAB
59	sudo-de/autofe-x AutoFE-X: Automated Feature Engineering + Data Profiling + Leakage Detection...	15	Experimental	—	Python
60	paberlo/FastFeatureSelection Set of algorithms for feature selection in high-dimensional datasets.	14	Experimental	1	Java
61	SK7Cosmo/xgboost-hyperparameter-tuning Improved model performance on text data using Word2Vec features and XGBoost,...	14	Experimental	—	Python
62	Bhatwar195/feature-engineering-for-ml A practical repository covering real-world feature engineering techniques to...	13	Experimental	2	Jupyter Notebook
63	wenxueru/feature-selection Implementation of NSGA-II Algorithm for the feature selection task	13	Experimental	5	Jupyter Notebook
64	JingweiToo/Henry-Gas-Solubility-Optimization-for-Feature-Selection Application of Henry Gas Solubility Optimization (HGSO) in the feature...	13	Experimental	6	MATLAB
65	JingweiToo/Equilibrium-Optimizer-for-Feature-Selection Application of Equilibrium Optimizer (EO) in the feature selection tasks.	13	Experimental	7	MATLAB
66	andali89/mnswoa_fs MNSWOA: A nondominated-sorting-based whale optimization algorithm for...	13	Experimental	6	MATLAB
67	MartinKalema/Hyperparameter-Tuning-GridSearchCV Using GridSearchCV to tune hyperparameters for my logistic regression model...	12	Experimental	3	Jupyter Notebook
68	cs-select-team/CS-Select CS:Select is an application designed to aid in Feature Subset Selection	12	Experimental	3	Java
69	Jakob-Bach/Alternative-Feature-Selection-Text Text for the papers "Finding Optimal Diverse Feature Sets with Alternative...	11	Experimental	—	TeX
70	wangxb96/Awesome-Feature-Selection Feature selection, methods, research papers, and implementation.	11	Experimental	—	—
71	Shashank911/-Hyperparameter-Tuning-using-GridSearchCV The objective of this task is to improve model performance by tuning...	11	Experimental	—	Jupyter Notebook

Comparisons in this category

feature_engine and featuretools (87 vs 79) featuretools and autofeat (79 vs 73) featuretools and open_source_demos (79 vs 51) featuretools and EvolutionaryForest (79 vs 53) featuretools and featuristic (79 vs 49) feature_engine and feature-engineering-tutorials (87 vs 60) feature-engineering-for-machine-learning and feature-selection-for-machine-learning (51 vs 51) autofeat and featuristic (73 vs 49)