QMKPy
QMKPy: A Python Testbed for the Quadratic Multiple Knapsack Problem - Published in JOSS (2022)
MarSwitching.jl
MarSwitching.jl: A Julia package for Markov switching dynamic models - Published in JOSS (2024)
DetectorChecker
DetectorChecker: analyzing patterns of defects in detector screens - Published in JOSS (2020)
BioProv - A provenance library for bioinformatics workflows
BioProv - A provenance library for bioinformatics workflows - Published in JOSS (2021)
R3D2
R3D2: Relativistic Reactive Riemann problem solver for Deflagrations and Detonations - Published in JOSS (2016)
gym-saturation
gym-saturation: an OpenAI Gym environment for saturation provers - Published in JOSS (2022)
CarrierCapture.jl
CarrierCapture.jl: Anharmonic Carrier Capture - Published in JOSS (2020)
DE-Sim
DE-Sim: an object-oriented, discrete-event simulation tool for data-intensive modeling of complex systems in Python - Published in JOSS (2020)
nnde
nnde: A Python package for solving differential equations using neural networks - Published in JOSS (2022)
PyCurious
PyCurious: A Python module for computing the Curie depth from the magnetic anomaly. - Published in JOSS (2019)
Lightshow
Lightshow: a Python package for generating computational x-ray absorption spectroscopy input files - Published in JOSS (2023)
pySBeLT
pySBeLT: A Python software package for stochastic sediment transport under rarefied conditions - Published in JOSS (2022)
Mallob
Mallob: Scalable SAT Solving On Demand With Decentralized Job Scheduling - Published in JOSS (2022)
PYCV
PYCV: a PLUMED 2 Module Enabling the Rapid Prototyping of Collective Variables in Python - Published in JOSS (2019)
VAST
VAST: the Void Analysis Software Toolkit - Published in JOSS (2022)
coronagraph
coronagraph: Telescope Noise Modeling for Exoplanets in Python - Published in JOSS (2019)
graynet
graynet: single-subject morphometric networks for neuroscience connectivity applications - Published in JOSS (2018)
AutoClassWrapper
AutoClassWrapper: a Python wrapper for AutoClass C classification - Published in JOSS (2019)
BART-Survival
BART-Survival: A Bayesian machine learning approach to survival analyses in Python - Published in JOSS (2025)