Dependency Packages
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SummationByPartsOperators.jl94A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudospectral, continuous Galerkin, and discontinuous Galerkin methods to get provably stable semidiscretizations, paying special attention to boundary conditions.
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DiffEqCallbacks.jl94A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
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TSFrames.jl92Timeseries in Julia
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BetaML.jl92Beta Machine Learning Toolkit
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Immerse.jl88Dive deeper into your data with interactive graphics
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ImageProjectiveGeometry.jl85Projective geometry for computer vision in Julia
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ValidatedNumerics.jl85Rigorous floating-point calculations with interval arithmetic in Julia
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CalibrateEmulateSample.jl84Stochastic Optimization, Learning, Uncertainty and Sampling
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FMI.jl84FMI.jl is a free-to-use software library for the Julia programming language which integrates FMI (fmi-standard.org): load or create, parameterize, differentiate and simulate FMUs seamlessly inside the Julia programming language!
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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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JuLIP.jl83Julia Library for Interatomic Potentials
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FractionalDiffEq.jl80Solve Fractional Differential Equations using high performance numerical methods
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ClimaAtmos.jl79ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!
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EasyModelAnalysis.jl79High level functions for analyzing the output of simulations
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SemanticModels.jl77A julia package for representing and manipulating model semantics
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GeneticsMakie.jl77🧬High-performance genetics- and genomics-related data visualization using Makie.jl
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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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FastBroadcast.jl75-
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RecursiveFactorization.jl75-
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Modia3D.jl74Modeling and Simulation of 3D systems
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MultiScaleArrays.jl73A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
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ReactionMechanismSimulator.jl72The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms
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OpenQuantumTools.jl72Julia toolkit for open quantum system simulation.
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Tyler.jl71Makie package to plot maptiles from various map providers
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HighDimPDE.jl71A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
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RigidBodySim.jl71Simulation and visualization of articulated rigid body systems in Julia
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IonSim.jl71A simple tool for simulating trapped ion systems
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DIVAnd.jl70DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations
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QuantumCumulants.jl70Generalized mean-field equations in open quantum systems
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SpheriCart.jl69Multi-language library for the calculation of spherical harmonics in Cartesian coordinates
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ODINN.jl68Global glacier model using Universal Differential Equations for climate-glacier interactions
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DiffEqUncertainty.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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WorldDynamics.jl65An open-source framework written in Julia for global integrated assessment models.
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SciMLExpectations.jl65Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
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TaylorModels.jl63Rigorous function approximation using Taylor models in Julia
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StockFlow.jl63-
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ModelPredictiveControl.jl63An open source model predictive control package for Julia.
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DiffEqNoiseProcess.jl63A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
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SimpleNonlinearSolve.jl63Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
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