Dependency Packages
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MagNav.jl101MagNav: airborne Magnetic anomaly Navigation
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QuasiMonteCarlo.jl101Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
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Primes.jl99Prime numbers in Julia
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JUDI.jl96Julia Devito inversion.
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MacroModelling.jl95Macros and functions to work with DSGE models.
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ModelingToolkitDesigner.jl94A helper tool for visualizing and editing a ModelingToolkit.jl system connections
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Copulas.jl88A fully `Distributions.jl`-compliant copula package
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GenericTensorNetworks.jl87Generic tensor networks for solution space properties.
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StateSpaceRoutines.jl86Package implementing common state-space routines.
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OrbitalTrajectories.jl83OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via high-performance simulations of astrodynamical models.
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EasyModelAnalysis.jl79High level functions for analyzing the output of simulations
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Elemental.jl78Julia interface to the Elemental linear algebra library.
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ParameterizedFunctions.jl77A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
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Pathfinder.jl75Preheat your MCMC
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ReactionMechanismSimulator.jl72The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms
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TuringGLM.jl71Bayesian Generalized Linear models using `@formula` syntax.
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IonSim.jl71A simple tool for simulating trapped ion systems
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QuantumCumulants.jl70Generalized mean-field equations in open quantum systems
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ODINN.jl68Global glacier model using Universal Differential Equations for climate-glacier interactions
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TaylorDiff.jl68Taylor-mode automatic differentiation for higher-order derivatives
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Turkie.jl68Turing + Makie = Turkie
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WorldDynamics.jl65An open-source framework written in Julia for global integrated assessment models.
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DiffEqUncertainty.jl65Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
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SciMLExpectations.jl65Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
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PETLION.jl65High-performance simulations of the Porous Electrode Theory for Li-ion batteries
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Groebner.jl63Groebner bases in (almost) pure Julia
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CellMLToolkit.jl62CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
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Conductor.jl61Choo-choo
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CALIPSO.jl61Conic Augmented Lagrangian Interior-Point SOlver
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Dolo.jl57Economic modeling in Julia
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DifferentiableTrajectoryOptimization.jl55Differentiable trajectory optimization in Julia.
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Sophon.jl54Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks
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HarmonicBalance.jl53A Julia package for solving nonlinear differential equations using the harmonic balance method.
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ReversePropagation.jl52-
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GlobalSensitivity.jl51Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
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JosephsonCircuits.jl50Frequency domain, multi-tone harmonic balance, simulation of scattering parameters and noise in nonlinear circuits containing Josephson junctions.
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MinimallyDisruptiveCurves.jl49Finds relationships between the parameters of a mathematical model
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SymbolicControlSystems.jl49C-code generation and an interface between ControlSystems.jl and SymPy.jl
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CompEcon.jl47Julia versions of the CompEcon routines by Miranda and Fackler.
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GaloisFields.jl47Finite fields for Julia
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