seaborn
seaborn: statistical data visualization - Published in JOSS (2021)
Hypothesis
Hypothesis: A new approach to property-based testing - Published in JOSS (2019)
Pooch
Pooch: A friend to fetch your data files - Published in JOSS (2020)
Python Sorted Containers
Python Sorted Containers - Published in JOSS (2019)
lifelines
lifelines: survival analysis in Python - Published in JOSS (2019)
ArviZ a unified library for exploratory analysis of Bayesian models in Python
ArviZ a unified library for exploratory analysis of Bayesian models in Python - Published in JOSS (2019)
Intracranial Electrode Location and Analysis in MNE-Python
Intracranial Electrode Location and Analysis in MNE-Python - Published in JOSS (2022)
OSMnx
OSMnx: A Python package to work with graph-theoretic OpenStreetMap street networks - Published in JOSS (2017)
SunPy
SunPy: A Python package for Solar Physics - Published in JOSS (2020)
BlenderProc2
BlenderProc2: A Procedural Pipeline for Photorealistic Rendering - Published in JOSS (2023)
mmh3
mmh3: A Python extension for MurmurHash3 - Published in JOSS (2025)
SALib
SALib: An open-source Python library for Sensitivity Analysis - Published in JOSS (2017)
FreqAI
FreqAI: generalizing adaptive modeling for chaotic time-series market forecasts - Published in JOSS (2022)
tqdm
tqdm: A Fast, Extensible Progress Meter for Python and CLI - Published in JOSS (2019)
PyVista
PyVista: 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK) - Published in JOSS (2019)
MLxtend
MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack - Published in JOSS (2018)
xclim
xclim: xarray-based climate data analytics - Published in JOSS (2023)
sourmash v4
sourmash v4: A multitool to quickly search, compare, and analyze genomic and metagenomic data sets - Published in JOSS (2024)
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)
pvlib python
pvlib python: 2023 project update - Published in JOSS (2023)
SpiceyPy
SpiceyPy: a Pythonic Wrapper for the SPICE Toolkit - Published in JOSS (2020)
scikit-fem
scikit-fem: A Python package for finite element assembly - Published in JOSS (2020)
alchemlyb
alchemlyb: the simple alchemistry library - Published in JOSS (2024)
Catalyst
Catalyst: a Python JIT compiler for auto-differentiable hybrid quantum programs - Published in JOSS (2024)
pyhf
pyhf: pure-Python implementation of HistFactory statistical models - Published in JOSS (2021)
Pubmed Parser
Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset XML Dataset - Published in JOSS (2020)
automata
automata: A Python package for simulating and manipulating automata - Published in JOSS (2023)
PyPortfolioOpt
PyPortfolioOpt: portfolio optimization in Python - Published in JOSS (2021)
ChemPy
ChemPy: A package useful for chemistry written in Python - Published in JOSS (2018)
TorchGAN
TorchGAN: A Flexible Framework for GAN Training and Evaluation - Published in JOSS (2021)
khmer release v2.1
khmer release v2.1: software for biological sequence analysis - Published in JOSS (2017)
HyperNetX
HyperNetX: A Python package for modeling complex network data as hypergraphs - Published in JOSS (2024)
NiaPy
NiaPy: Python microframework for building nature-inspired algorithms - Published in JOSS (2018)
emcee v3
emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC - Published in JOSS (2019)
Spleeter
Spleeter: a fast and efficient music source separation tool with pre-trained models - Published in JOSS (2020)
sectionproperties
sectionproperties: A Python package for the analysis of arbitrary cross-sections using the finite element method - Published in JOSS (2024)
gmr
gmr: Gaussian Mixture Regression - Published in JOSS (2021)
Retriever
Retriever: Data Retrieval Tool - Published in JOSS (2017)
Verde
Verde: Processing and gridding spatial data using Green’s functions - Published in JOSS (2018)
Dynamax
Dynamax: A Python package for probabilistic state space modeling with JAX - Published in JOSS (2025)
pytorch-widedeep
pytorch-widedeep: A flexible package for multimodal deep learning - Published in JOSS (2023)
dit
dit: a Python package for discrete information theory - Published in JOSS (2018)
PoreSpy
PoreSpy: A Python Toolkit for Quantitative Analysis of Porous Media Images - Published in JOSS (2019)
Nashpy
Nashpy: A Python library for the computation of Nash equilibria - Published in JOSS (2018)
atlite
atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series - Published in JOSS (2021)
Learning from Crowds with Crowd-Kit
Learning from Crowds with Crowd-Kit - Published in JOSS (2024)
Feature-engine
Feature-engine: A Python package for feature engineering for machine learning - Published in JOSS (2021)
Missingno
Missingno: a missing data visualization suite - Published in JOSS (2018)
Soundata
Soundata: Reproducible use of audio datasets - Published in JOSS (2024)
CMasher
CMasher: Scientific colormaps for making accessible, informative and 'cmashing' plots - Published in JOSS (2020)
corner.py
corner.py: Scatterplot matrices in Python - Published in JOSS (2016)
open-mastr
open-mastr: A Python Package to Download and Process the German Energy Registry Marktstammdatenregister - Published in JOSS (2024)
eemont
eemont: A Python package that extends Google Earth Engine - Published in JOSS (2021)
opt\_einsum - A Python package for optimizing contraction order for einsum-like expressions
opt\_einsum - A Python package for optimizing contraction order for einsum-like expressions - Published in JOSS (2018)
ReproZip
ReproZip: The Reproducibility Packer - Published in JOSS (2016)
PyAutoLens
PyAutoLens: Open-Source Strong Gravitational Lensing - Published in JOSS (2021)
quimb
quimb: A python package for quantum information and many-body calculations - Published in JOSS (2018)
pyMannKendall
pyMannKendall: a python package for non parametric Mann Kendall family of trend tests. - Published in JOSS (2019)
TextDescriptives
TextDescriptives: A Python package for calculating a large variety of metrics from text - Published in JOSS (2023)
Machine Learning Validation via Rational Dataset Sampling with astartes
Machine Learning Validation via Rational Dataset Sampling with astartes - Published in JOSS (2023)
Pyrodigal
Pyrodigal: Python bindings and interface to Prodigal, an efficient method for gene prediction in prokaryotes - Published in JOSS (2022)
Linopy
Linopy: Linear optimization with n-dimensional labeled variables - Published in JOSS (2023)
Physics-Informed Neural networks for Advanced modeling
Physics-Informed Neural networks for Advanced modeling - Published in JOSS (2023)
FURY
FURY: advanced scientific visualization - Published in JOSS (2021)
PyAutoFit
PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting - Published in JOSS (2021)
Visions
Visions: An Open-Source Library for Semantic Data - Published in JOSS (2020)
scikit-posthocs
scikit-posthocs: Pairwise multiple comparison tests in Python - Published in JOSS (2019)
ALNS
ALNS: a Python implementation of the adaptive large neighbourhood search metaheuristic - Published in JOSS (2023)
PlatiPy
PlatiPy: Processing Library and Analysis Toolkit for Medical Imaging in Python - Published in JOSS (2023)
small_gicp
small_gicp: Efficient and parallel algorithms for point cloud registration - Published in JOSS (2024)
Foolbox Native
Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX - Published in JOSS (2020)
f90nml - A Python module for Fortran namelists
f90nml - A Python module for Fortran namelists - Published in JOSS (2019)
toqito -- Theory of quantum information toolkit
toqito -- Theory of quantum information toolkit: A Python package for studying quantum information - Published in JOSS (2021)
Calliope
Calliope: a multi-scale energy systems modelling framework - Published in JOSS (2018)
scores
scores: A Python package for verifying and evaluating models and predictions with xarray - Published in JOSS (2024)
Inscriptis - A Python-based HTML to text conversion library optimized for knowledge extraction from the Web
Inscriptis - A Python-based HTML to text conversion library optimized for knowledge extraction from the Web - Published in JOSS (2021)
torchquad
torchquad: Numerical Integration in Arbitrary Dimensions with PyTorch - Published in JOSS (2021)
optimade-python-tools
optimade-python-tools: a Python library for serving and consuming materials data via OPTIMADE APIs - Published in JOSS (2021)
spopt
spopt: a python package for solving spatial optimization problems in PySAL - Published in JOSS (2022)
HyperCoast
HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments - Published in JOSS (2024)
'Spectrum'
'Spectrum': Spectral Analysis in Python - Published in JOSS (2017)
spaghetti
spaghetti: spatial network analysis in PySAL - Published in JOSS (2021)
PsychroLib
PsychroLib: a library of psychrometric functions to calculate thermodynamic properties of air - Published in JOSS (2019)
mpl-interactions
mpl-interactions: A Python Package for Interactive Matplotlib Figures - Published in JOSS (2024)
Augmenty
Augmenty: A Python Library for Structured Text Augmentation - Published in JOSS (2024)
PowerAPI
PowerAPI: A Python framework for building software-defined power meters - Published in JOSS (2024)
TE-dependent analysis of multi-echo fMRI with tedana
TE-dependent analysis of multi-echo fMRI with tedana - Published in JOSS (2021)
matador
matador: a Python library for analysing, curating and performing high-throughput density-functional theory calculations - Published in JOSS (2020)
multipers
multipers: Multiparameter Persistence for Machine Learning - Published in JOSS (2024)