MLR3 Ecosystem ML Frameworks

Extension packages, learners, and resources built on the mlr3 machine learning framework for R. Includes specialized learners (probabilistic, survival, deep learning), fairness/inference tools, and official documentation. Does NOT include standalone ML frameworks, general R utilities, or non-mlr3-specific ML tools.

There are 52 mlr3 ecosystem frameworks tracked. 10 score above 50 (established tier). The highest-rated is GAA-UAM/scikit-fda at 63/100 with 340 stars. 1 of the top 10 are actively maintained.

Get all 52 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=mlr3-ecosystem&limit=20"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

#	Framework	Score	Tier	Stars	Language
1	GAA-UAM/scikit-fda Functional Data Analysis Python package	63	Established	340	Python
2	mlr-org/mlr3 mlr3: Machine Learning in R - next generation	62	Established	1,060	R
3	mlr-org/mlr3extralearners Extra learners for use in mlr3.	60	Established	114	R
4	mlr-org/mlr3book Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.)....	59	Established	276	TeX
5	mlr-org/mlr3learners Recommended learners for mlr3	57	Established	97	R
6	naturalis/sdmdl Species Distribution Modelling using Deep Learning	54	Established	26	Python
7	mlr-org/mlr3proba Probabilistic Learning for mlr3	54	Established	147	R
8	stabgan/Linear-Discriminant-Analysis We used LDA in this project to expand the capabilities of our Logistic...	51	Established	9	Python
9	mlr-org/mlr3tuning Hyperparameter optimization package of the mlr3 ecosystem	51	Established	59	R
10	mlr-org/mlr3hyperband Successive Halving and Hyperband in the mlr3 ecosystem	50	Established	18	R
11	mlr-org/mlr3misc Miscellaneous helper functions for mlr3	49	Emerging	13	R
12	mlr-org/mlr3torch Deep learning framework for the mlr3 ecosystem based on torch	49	Emerging	55	R
13	mlr-org/mlr3fda Functional Data Analysis for mlr3	48	Emerging	7	R
14	mlr-org/mlr3verse Meta-package for installing/updating mlr3* packages.	48	Emerging	63	R
15	mlr-org/mlr3fselect Feature selection package of the mlr3 ecosystem.	48	Emerging	38	R
16	mingzehuang/latentcor latentcor is an R package provides estimation for latent correlation with...	44	Emerging	16	R
17	boyanangelov/sdmbench Benchmarking Species Distribution Models	43	Emerging	19	R
18	mlr-org/mlr3summary Model summaries for mlr3	43	Emerging	8	R
19	mlr-org/mlr3data Data sets used in the book, gallery, or in examples of mlr3.	43	Emerging	2	R
20	kapsner/mlsurvlrnrs Survival learners for the `mlexperiments` R 📦	41	Emerging	3	R
21	gcol33/corrselect R package for exhaustive selection of variable subsets below a correlation threshold.	41	Emerging	1	R
22	Black-Swan-ICL/PyRKHSstats A Python package implementing a variety of statistical methods that rely on...	40	Emerging	16	Python
23	Kaleidophon/deep-significance Enabling easy statistical significance testing for deep neural networks.	38	Emerging	339	Python
24	fabrice-rossi/mixvlmc Variable Length Markov Chains with Covariates	37	Emerging	6	R
25	DaniloCVieira/iMESc This app is intended to dynamically integrate machine learning techniques to...	36	Emerging	10	R
26	canagnos/mcp Tools for Measuring Classification Performance for R, Python and Spark	36	Emerging	13	—
27	jo-phil/hopkins-statistic A Python package for computing the Hopkins statistic to assess clustering tendency.	36	Emerging	1	Python
28	mlr-org/mlr3fairness mlr3 extension for Fairness in Machine Learning	34	Emerging	15	HTML
29	nt-williams/mlr3superlearner Super learner fitting and prediction using mlr3	33	Emerging	11	R
30	bcgov/PEMprepr Machine Learning Predictive Ecosystem Mapping (MLPEM) data preparation	33	Emerging	5	R
31	ModelOriented/hstats Friedman's H-statistics	32	Emerging	34	R
32	bcgov/PEMr Machine Learning Predictive Ecosystems Mapping (MLPEM)	31	Emerging	4	R
33	mlr-org/mlr3tuningspaces Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem	30	Emerging	14	R
34	donishadsmith/vswift A R package for evaluating ML classification models.	30	Emerging	1	R
35	mlr-org/mlr3forecast Time series forecasting for mlr3	30	Emerging	7	R
36	pmsims-package/pmsims Simulation-based sample size tools for prediction models	29	Experimental	3	R
37	define957/SupportVectorLab Advanced Toolkit for Support Vector Machines in R	29	Experimental	4	R
38	Minoru938/KmdPlus This module contains a class for treating kernel mean descriptor (KMD), and...	28	Experimental	8	Jupyter Notebook
39	antoninschrab/mmdagg-paper Reproducibility code for MMD Aggregated Two-Sample Test, by Schrab, Kim,...	27	Experimental	17	Jupyter Notebook
40	mlr-org/mlr3inferr Statistical methods for inference on the generalization error	26	Experimental	5	R
41	shimenghuang/pycomets Algorithm-agnostic significance testing in supervised learning with multimodal data	26	Experimental	6	Python
42	mlr-org/mlr3cmprsk Competing Risks Machine Learning for mlr3	24	Experimental	—	R
43	CodingTigerTang/PrecisionRecallExplorer Interactive Shiny app for explaining precision–recall tradeoffs to business...	22	Experimental	—	R
44	Boris-Droz/PRODOM Tools for analysing fluorescence data using PARAFAC and Machine Learning (ML)	21	Experimental	—	R
45	bcgov/PEMmodelr Build a machine learning model for predictive ecosystem mapping	19	Experimental	3	R
46	LucasKook/comets Algorithm-agnostic significance testing in supervised learning with multimodal data	19	Experimental	10	R
47	bcgov/PEMsamplr Construct standard sample plan for a machine-learning predictive ecosystem map	19	Experimental	3	R
48	Sulkysubject37/BioMoR BioMoR: Bioinformatics Modeling with Recursion and Autoencoder-Based...	17	Experimental	—	R
49	luukka76/Feature-selection-method-based-on-entropy-and-similarity-R-codes R-codes for feature selection method that is based on fuzzy entropy and similarity	17	Experimental	1	R
50	MALL-Lab/VIBES VIBES - VagInal Bacterial subtyping using machine learning for Enhanced...	15	Experimental	—	R
51	ericnewkirk/ml_evaluation_table A simple shiny app for evaluating performance of machine learning models in...	11	Experimental	—	R
52	MALL-Lab/VIBES-docs User documentation for the VIBES - VagInal Bacterial subtyping using machine...	11	Experimental	—	—

Comparisons in this category

mlr3 and mlr3book (62 vs 59) mlr3 and mlr3proba (62 vs 54) mlr3 and mlr3extralearners (62 vs 60) mlr3 and mlr3learners (62 vs 57) mlr3 and mlr3verse (62 vs 48) mlr3 and mlr3torch (62 vs 49) mlr3 and mlr3misc (62 vs 49) mlr3 and mlr3summary (62 vs 43) mlr3 and mlr3fda (62 vs 48) mlr3 and mlr3data (62 vs 43)