Optim
Optim: A mathematical optimization package for Julia - Published in JOSS (2018)
Krylov.jl
Krylov.jl: A Julia basket of hand-picked Krylov methods - Published in JOSS (2023)
PySwarms
PySwarms: a research toolkit for Particle Swarm Optimization in Python - Published in JOSS (2018)
SIMSOPT
SIMSOPT: A flexible framework for stellarator optimization - Published in JOSS (2021)
Linopy
Linopy: Linear optimization with n-dimensional labeled variables - Published in JOSS (2023)
The Walrus
The Walrus: a library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling - Published in JOSS (2019)
JMcDM
JMcDM: A Julia package for multiple-criteria decision-making tools - Published in JOSS (2021)
Manopt.jl
Manopt.jl: Optimization on Manifolds in Julia - Published in JOSS (2022)
Scientific Computational Imaging Code (SCICO)
Scientific Computational Imaging Code (SCICO) - Published in JOSS (2022)
cspy
cspy: A Python package with a collection of algorithms for the (Resource) Constrained Shortest Path problem - Published in JOSS (2020)
Choice-Learn
Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learning - Published in JOSS (2024)
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)
opty
opty: Software for trajectory optimization and parameter identification using direct collocation - Published in JOSS (2018)
RiskPortfolios
RiskPortfolios: Computation of Risk-Based Portfolios in R - Published in JOSS (2017)
Metaheuristics
Metaheuristics: A Julia Package for Single- and Multi-Objective Optimization - Published in JOSS (2022)
VRPy
VRPy: A Python package for solving a range of vehicle routing problems with a column generation approach - Published in JOSS (2020)
GGLasso - a Python package for General Graphical Lasso computation
GGLasso - a Python package for General Graphical Lasso computation - Published in JOSS (2021)
Osprey
Osprey: Hyperparameter Optimization for Machine Learning - Published in JOSS (2016)
AIBECS.jl
AIBECS.jl: A tool for exploring global marine biogeochemical cycles. - Published in JOSS (2022)
PICOS
PICOS: A Python interface to conic optimization solvers - Published in JOSS (2022)
Chips-n-Salsa
Chips-n-Salsa: A Java Library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms - Published in JOSS (2020)
madupite
madupite: A High-Performance Distributed Solver for Large-Scale Markov Decision Processes - Published in JOSS (2025)
Noisyopt
Noisyopt: A Python library for optimizing noisy functions. - Published in JOSS (2017)
SCONE
SCONE: Open Source Software for Predictive Simulation of Biological Motion - Published in JOSS (2019)
PySLSQP
PySLSQP: A transparent Python package for the SLSQP optimization algorithm modernized with utilities for visualization and post-processing - Published in JOSS (2024)
SBArchOpt
SBArchOpt: Surrogate-Based Architecture Optimization - Published in JOSS (2023)
pycellga
pycellga: A Python package for improved cellular genetic algorithms - Published in JOSS (2025)
AGNI
AGNI: A radiative-convective model for lava planet atmospheres - Published in JOSS (2025)
Black-it
Black-it: A Ready-to-Use and Easy-to-Extend Calibration Kit for Agent-based Models - Published in JOSS (2022)
TimeSeriesClustering
TimeSeriesClustering: An extensible framework in Julia - Published in JOSS (2019)
QMKPy
QMKPy: A Python Testbed for the Quadratic Multiple Knapsack Problem - Published in JOSS (2022)
grapherator
grapherator: A Modular Multi-Step Graph Generator - Published in JOSS (2018)
MDPax: GPU-accelerated MDP solvers in Python with JAX
MDPax: GPU-accelerated MDP solvers in Python with JAX - Published in JOSS (2025)
NLSIG-COVID19Lab
NLSIG-COVID19Lab: A modern logistic-growth tool (nlogistic-sigmoid) for descriptively modelling the dynamics of the COVID-19 pandemic process - Published in JOSS (2021)
PDOPT
PDOPT: A Python library for Probabilistic Design space exploration and OPTimisation - Published in JOSS (2024)
A Julia package for bilevel optimization problems
A Julia package for bilevel optimization problems - Published in JOSS (2019)
MDPSolver
MDPSolver: An Efficient Solver for Markov Decision Processes - Published in JOSS (2025)
GraphCalc
GraphCalc: A Python Package for Computing Graph Invariants in Automated Conjecturing Systems - Published in JOSS (2025)
ParticleScattering
ParticleScattering: Solving and optimizing multiple-scattering problems in Julia - Published in JOSS (2018)