Dependency Packages
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CirculatorySystemModels.jl17-
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NeuralGraphPDE.jl17Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks
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KiteSimulators.jl17Simulators for kite power systems
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LowRankIntegrators.jl17Package for approximation of solutions to matrix differential equations or time-dependent matrices via dynamically evolving low rank decomposition.
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ReactiveDynamics.jl17A Julia package that implements a category of reaction (transportation) network-type dynamical systems.
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MRIgeneralizedBloch.jl16-
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SBMLImporter.jl16Import dynamic models in the SBML format into a ReactionSystem for Gillespie, SDE and ODE simulations
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AstrodynamicalModels.jl16Dynamical models used within astrodynamics and orbital mechanics!
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DelaySSAToolkit.jl15DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays
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ControlSystemsMTK.jl15Interface between ControlSystems and ModelingToolkit
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BondGraphs.jl14Julia implementation of the bond graph framework
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ExactODEReduction.jl13Exact reduction of ODE models via linear transformations
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MitosisStochasticDiffEq.jl12Backward-filtering forward-guiding with StochasticDiffEq.jl
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ControlBarrierFunctions.jl12Control barrier functions (CBFs) in Julia.
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JointSurvivalModels.jl12Julia implementation of joint models combining longitudinal and survival endpoints
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PDEBase.jl12Common types and interface for discretizers of ModelingToolkit PDESystems.
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NumericalMethodsforEngineers.jl11Programs modeled after "Numerical Methods for Engineers" by D.V. Griffiths and I.M. Smith
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EnKF.jl11Develop tools for ensemble Kalman filter
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GeneralizedSasakiNakamura.jl11Computing solutions to the frequency-domain radial Teukolsky equation with the Generalized Sasaki-Nakamura (GSN) formalism in julia
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ModiaLang.jl11Deprecated package (use instead Modia.jl)
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Sisyphus.jl11A high-performance library for gradient based quantum optimal control
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SpiDy.jl11:spider: Non-Markovian stochastic SPIn (and harmonic oscillator) DYnamics.
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KiteModels.jl10Kite and tether models for the simulation of kite power systems
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DynamicOED.jl10Optimal experimental design of ODE and DAE systems in julia
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NumCME.jl8Direct solution of the Chemical Master Equation in Julia.
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ShipMMG.jl8Ship maneuvering simulation tool with respect to ShipMMG model
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RNAForecaster.jl8-
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ConceptualClimateModels.jl7ConceptualClimateModels.jl is a Julia package for creating and analysing conceptual models of climate, such as energy balance models, glaciation cycle models, or climate tipping models.
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QuantumGraining.jl7A package for obtaining the effective time-averaged Lindbladian.
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WaveguideQED.jl7Library for simulating time binned photons in Waveguide Quantum Electrodynamics
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Consensus.jl7A lightweight Consensus-Based Optimisation package for Julia
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RealTimeAudioDiffEq.jl7A Julia package for real-time audification of ODEs and SDEs
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VlasovMethods.jl6Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems
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DeepCompartmentModels.jl6Package for fitting models according to the deep compartment modeling framework for pharmacometric applications.
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DickeModel.jl6A toolkit for the quantum and classical Dicke model in Julia.
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PolynomialGTM.jl6An unofficial implementation of publicly available approximated polynomial models for NASA's Generic Transport Model aircraft.
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SourceCodeMcCormick.jl6Experimental Approach to McCormick Relaxation Source-Code Transformation
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FindSteadyStates.jl6Https://stevengogogo.github.io/FindSteadyStates.jl/dev
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FMISensitivity.jl6Unfortunately, FMUs (fmi-standard.org) are not differentiable by design. To enable their full potential inside Julia, FMISensitivity.jl makes FMUs fully differentiable, regarding to: states and derivatives | inputs, outputs and other observable variables | parameters | event indicators | explicit time | state change sensitivity by event
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SubspaceInference.jl5Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia
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