Dependency Packages
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StochasticGene.jl8Julia module to fit and analyze stochastic gene transcription models
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NumCME.jl8Direct solution of the Chemical Master Equation in Julia.
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PartiallySeparableSolvers.jl8Trust-region methods with partitioned quasi-Newton approximations
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Bigleaf.jl8Ecosystem properties based on a 'big-leaf' representation of the vegetation
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SciMLNLSolve.jl8Nonlinear solver bindings for the SciML Interface
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PredefinedDynamicalSystems.jl8Collection of predefined dynamical systems for DynamicalSystems.jl
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RigorousInvariantMeasures.jl8Package for the Rigorous Computation of Invariant Measures
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FractionalSystems.jl8Fractional order systems toolbox in Julia.
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ONSAS.jl7An Open Nonlinear Structural Analysis Solver in Julia
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ExactFieldSolutions.jl7Full field solutions of Poisson and Stokes problems in 1D, 2D and 3D. Full field solutions to other problems are welcome!
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SymbolicCodegen.jl7-
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SymbolicsMathLink.jl7Julia package to seamlessly integrate Mathematica's MathLink with Julia's native Symbolics package
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QuantumGraining.jl7A package for obtaining the effective time-averaged Lindbladian.
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RealTimeAudioDiffEq.jl7A Julia package for real-time audification of ODEs and SDEs
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Arena.jl7Collection 3D visualization tools associated with the Caesar.jl and RoME.jl robot navigation packages
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ConstrainedSystems.jl7Tools for solving constrained dynamical systems
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Consensus.jl7A lightweight Consensus-Based Optimisation package for Julia
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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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WaveguideQED.jl7Library for simulating time binned photons in Waveguide Quantum Electrodynamics
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KiteControllers.jl7Controllers for airborne wind energy systems
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BattMo.jl7Battery modelling using Jutul.jl and BattMo in MRST
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KinematicDriver.jl7Prescribed flow models for testing cloud microphysics schemes.
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Kinematic1D.jl7Prescribed flow models for testing cloud microphysics schemes.
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PyDSTool.jl7A wrapper for the Python PyDSTool library for the SciML Scientific Machine Learning organization
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QuadraticProgramNetworks.jl7A package for modeling and solving Quadratic Program Networks.
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GeoEnergyIO.jl7Parsers and processing for geoenergy data file formats in Julia.
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BridgeDiffEq.jl6A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)
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Glycolysis.jl6Package for modeling glycolysis activity
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GeometryOptimization.jl6Geometry optimization for molecular simulation
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MessyTimeSeriesOptim.jl6A Julia implementation of estimation and validation algorithms for time series compatible with incomplete data.
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Mehrotra.jl6Solver for complemetarity-based dynamics.
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Basins.jl6-
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VlasovMethods.jl6Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems
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AcousticRayTracers.jl6Differentiable acoustic ray tracers
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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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FindSteadyStates.jl6Https://stevengogogo.github.io/FindSteadyStates.jl/dev
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KdotP.jl6Symmetry-allowed k ⋅ p expansions
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DeepCompartmentModels.jl6Package for fitting models according to the deep compartment modeling framework for pharmacometric applications.
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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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Fronts.jl6Nonlinear diffusion problems in Julia
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