hdbscan
hdbscan: Hierarchical density based clustering - Published in JOSS (2017)
Intracranial Electrode Location and Analysis in MNE-Python
Intracranial Electrode Location and Analysis in MNE-Python - Published in JOSS (2022)
UMAP
UMAP: Uniform Manifold Approximation and Projection - Published in JOSS (2018)
MLxtend
MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack - Published in JOSS (2018)
Flux
Flux: Elegant machine learning with Julia - Published in JOSS (2018)
imodels
imodels: a python package for fitting interpretable models - Published in JOSS (2021)
Yellowbrick
Yellowbrick: Visualizing the Scikit-Learn Model Selection Process - Published in JOSS (2019)
PyCM
PyCM: Multiclass confusion matrix library in Python - Published in JOSS (2018)
sbi reloaded
sbi reloaded: a toolkit for simulation-based inference workflows - Published in JOSS (2025)
samgeo
samgeo: A Python package for segmenting geospatial data with the Segment Anything Model (SAM) - Published in JOSS (2023)
anndata
anndata: Access and store annotated data matrices - Published in JOSS (2024)
Surprise
Surprise: A Python library for recommender systems - Published in JOSS (2020)
TorchGAN
TorchGAN: A Flexible Framework for GAN Training and Evaluation - Published in JOSS (2021)
mlpack 4
mlpack 4: a fast, header-only C++ machine learning library - Published in JOSS (2023)
gmr
gmr: Gaussian Mixture Regression - Published in JOSS (2021)
Verde
Verde: Processing and gridding spatial data using Green’s functions - Published in JOSS (2018)
Feature-engine
Feature-engine: A Python package for feature engineering for machine learning - Published in JOSS (2021)
PySwarms
PySwarms: a research toolkit for Particle Swarm Optimization in Python - Published in JOSS (2018)
mlr3
mlr3: A modern object-oriented machine learning framework in R - Published in JOSS (2019)
PySINDy
PySINDy: A comprehensive Python package for robust sparse system identification - Published in JOSS (2022)
Augmentor
Augmentor: An Image Augmentation Library for Machine Learning - Published in JOSS (2017)
Machine Learning Validation via Rational Dataset Sampling with astartes
Machine Learning Validation via Rational Dataset Sampling with astartes - Published in JOSS (2023)
Physics-Informed Neural networks for Advanced modeling
Physics-Informed Neural networks for Advanced modeling - Published in JOSS (2023)
Foolbox Native
Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX - Published in JOSS (2020)
performance
performance: An R Package for Assessment, Comparison and Testing of Statistical Models - Published in JOSS (2021)
torchquad
torchquad: Numerical Integration in Arbitrary Dimensions with PyTorch - Published in JOSS (2021)
Talisman
Talisman: a JavaScript archive of fuzzy matching, information retrieval and record linkage building blocks - Published in JOSS (2020)
PyClustering
PyClustering: Data Mining Library - Published in JOSS (2019)
SMACT
SMACT: Semiconducting Materials by Analogy and Chemical Theory - Published in JOSS (2019)
DeepHyper
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning - Published in JOSS (2025)
DeepRiver
DeepRiver: A Deep Learning Library for Data Streams - Published in JOSS (2025)
Pyglmnet
Pyglmnet: Python implementation of elastic-net regularized generalized linear models - Published in JOSS (2020)
Larq
Larq: An Open-Source Library for Training Binarized Neural Networks - Published in JOSS (2020)
tpcp
tpcp: Tiny Pipelines for Complex Problems - A set of framework independent helpers for algorithms development and evaluation - Published in JOSS (2023)
f3dasm
f3dasm: Framework for Data-Driven Design and Analysis of Structures and Materials - Published in JOSS (2024)
InvertibleNetworks.jl
InvertibleNetworks.jl: A Julia package for scalable normalizing flows - Published in JOSS (2024)
VeridicalFlow
VeridicalFlow: a Python package for building trustworthy data science pipelines with PCS - Published in JOSS (2022)
PyXAB - A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms
PyXAB - A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms - Published in JOSS (2024)
Abmarl
Abmarl: Connecting Agent-Based Simulations with Multi-Agent Reinforcement Learning - Published in JOSS (2021)
quantile-forest
quantile-forest: A Python Package for Quantile Regression Forests - Published in JOSS (2024)
sorn
sorn: A Python package for Self Organizing Recurrent Neural Network - Published in JOSS (2021)
OMG
OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control - Published in JOSS (2020)
Nkululeko 1.0: A Python package to predict speaker characteristics with a high-level interface
Nkululeko 1.0: A Python package to predict speaker characteristics with a high-level interface - Published in JOSS (2025)
timeseriesflattener
timeseriesflattener: A Python package for summarizing features from (medical) time series - Published in JOSS (2023)
PyVBMC
PyVBMC: Efficient Bayesian inference in Python - Published in JOSS (2023)
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science - Published in JOSS (2024)
BayesO
BayesO: A Bayesian optimization framework in Python - Published in JOSS (2023)
SysIdentPy
SysIdentPy: A Python package for System Identification using NARMAX models - Published in JOSS (2020)
mikropml
mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines - Published in JOSS (2021)
PyBCI
PyBCI: A Python Package for Brain-Computer Interface (BCI) Design - Published in JOSS (2023)
MemCNN
MemCNN: A Python/PyTorch package for creating memory-efficient invertible neural networks - Published in JOSS (2019)
Multiblock PLS
Multiblock PLS: Block dependent prediction modeling for Python - Published in JOSS (2019)
ParaMonte
ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran - Published in JOSS (2021)
MapReader
MapReader: Open software for the visual analysis of maps - Published in JOSS (2024)
FTorch
FTorch: a library for coupling PyTorch models to Fortran - Published in JOSS (2025)
FuseMedML
FuseMedML: a framework for accelerated discovery in machine learning based biomedicine - Published in JOSS (2023)
Jury
Jury: A Comprehensive Evaluation Toolkit - Published in JOSS (2024)
TorchMetrics - Measuring Reproducibility in PyTorch
TorchMetrics - Measuring Reproducibility in PyTorch - Published in JOSS (2022)
ivis
ivis: dimensionality reduction in very large datasets using Siamese Networks - Published in JOSS (2019)
swyft
swyft: Truncated Marginal Neural Ratio Estimation in Python - Published in JOSS (2022)
AddaxAI
AddaxAI: A no-code platform to train and deploy custom YOLOv5 object detection models - Published in JOSS (2023)
GNS
GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling - Published in JOSS (2023)
pocoMC
pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology - Published in JOSS (2022)
ChainoPy
ChainoPy: A Python Library for Discrete Time Markov Chain Based Stochastic Analysis - Published in JOSS (2024)
SkyPortal
SkyPortal: An Astronomical Data Platform - Published in JOSS (2019)
mcboost
mcboost: Multi-Calibration Boosting for R - Published in JOSS (2021)
py_neuromodulation
py_neuromodulation: Signal processing and decoding for neural electrophysiological recordings - Published in JOSS (2025)
Contextualized
Contextualized: Heterogeneous Modeling Toolbox - Published in JOSS (2024)
Osprey
Osprey: Hyperparameter Optimization for Machine Learning - Published in JOSS (2016)
SIRUS.jl
SIRUS.jl: Interpretable Machine Learning via Rule Extraction - Published in JOSS (2023)
AdaptiveResonance.jl
AdaptiveResonance.jl: A Julia Implementation of Adaptive Resonance Theory (ART) Algorithms - Published in JOSS (2022)
Python class defining a machine learning dataset ensuring key-based correspondence and maintaining integrity
Python class defining a machine learning dataset ensuring key-based correspondence and maintaining integrity - Published in JOSS (2017)
MOTrainer
MOTrainer: Distributed Measurement Operator Trainer for Data Assimilation Applications - Published in JOSS (2024)
fseval
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms - Published in JOSS (2022)
lfda
lfda: Local Fisher Discriminant Analysis in R - Published in JOSS (2019)
BetaML
BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia - Published in JOSS (2021)
TensorFlow.jl
TensorFlow.jl: An Idiomatic Julia Front End for TensorFlow - Published in JOSS (2018)
dml
dml: Distance Metric Learning in R - Published in JOSS (2018)
fABBA
fABBA: A Python library for the fast symbolic approximation of time series - Published in JOSS (2024)
hdlib
hdlib: A Python library for designing Vector-Symbolic Architectures - Published in JOSS (2023)
FAT Forensics
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems - Published in JOSS (2020)
chemotools
chemotools: A Python Package that Integrates Chemometrics and scikit-learn - Published in JOSS (2024)
xtal2png
xtal2png: A Python package for representing crystal structure as PNG files - Published in JOSS (2022)
autoplotly
autoplotly: An R package for automatic generation of interactive visualizations for statistical results - Published in JOSS (2018)
ClusterValidityIndices.jl
ClusterValidityIndices.jl: Batch and Incremental Metrics for Unsupervised Learning - Published in JOSS (2022)
Spiral
Spiral: splitters for identifiers in source code files - Published in JOSS (2018)
txshift
txshift: Efficient estimation of the causal effects of stochastic interventions in R - Published in JOSS (2020)
ATHENA
ATHENA: A Fortran package for neural networks - Published in JOSS (2024)
GATree
GATree: Evolutionary decision tree classifier in Python - Published in JOSS (2024)
ExpFamilyPCA.jl
ExpFamilyPCA.jl: A Julia Package for Exponential Family Principal Component Analysis - Published in JOSS (2025)
pykoop
Koopman operator identification library in Python, compatible with `scikit-learn`
deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
stemflow
stemflow: A Python Package for Adaptive Spatio-Temporal Exploratory Model - Published in JOSS (2024)
VisualTorch
VisualTorch: Streamlining Visualization for PyTorch Neural Network Architectures - Published in JOSS (2024)
GraphNeT
GraphNeT: Graph neural networks for neutrino telescope event reconstruction - Published in JOSS (2023)
HiPart
HiPart: Hierarchical Divisive Clustering Toolbox - Published in JOSS (2023)
Scikit-Longitudinal
Scikit-Longitudinal: A Machine Learning Library for Longitudinal Classification in Python - Published in JOSS (2025)