Dependency Packages
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      SequentialSamplingModels.jl27A unified interface for simulating and evaluating sequential sampling models in Julia.
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      QSimulator.jl27Unitary and Lindbladian evolution in Julia
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      SparseConnectivityTracer.jl26Fast operator-overloading Jacobian & Hessian sparsity detection.
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      SNOW.jl26Optimization framework for nonlinear, gradient-based constrained, sparse optimization problems.
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      ReactionNetworkImporters.jl26Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices
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      DiffEqFinancial.jl25Differential equation problem specifications and scientific machine learning for common financial models
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      Boltz.jl25Accelerate your ML research using pre-built Deep Learning Models with Lux
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      StochasticDelayDiffEq.jl25Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem
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      ClimaCoupler.jl25ClimaCoupler: bringing atmosphere, land, and ocean together
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      MathOptSymbolicAD.jl24-
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      QuantumAnnealing.jl24Tools for the Simulation and Execution of Quantum Annealing Algorithms
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      CollectiveSpins.jl24Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction
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      NeuronBuilder.jl24Builds conductance based neural networks iteratively, from ion channels and synapses
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      MathML.jl23Julia MathML parser
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      BlockSystems.jl23-
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      IRKGaussLegendre.jl23Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)
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      OptControl.jl23A tool to solve optimal control problem
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      SimulationLogs.jl23Signal logging and scoping for DifferentialEquations.jl simulations.
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      JSOSuite.jl22One stop solutions for all things optimization
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      ModelingToolkitNeuralNets.jl22Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
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      SimpleDiffEq.jl22Simple differential equation solvers in native Julia for scientific machine learning (SciML)
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      FluxReconstruction.jl22Flux reconstruction method for advection-diffusion type physics
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      ContinuousNormalizingFlows.jl22Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
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      GradientRobustMultiPhysics.jl21Finite Element Module for Julia that focusses on gradient-robust discretisations and multiphysics problems
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      Piccolo.jl21A convenience meta-package for quantum optimal control using the Pade Integrator COllocation (PICO) method
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      GeneralAstrodynamics.jl21Astrodynamics with units! Provides common astrodynamics calculations, plotting, and iterative Halo, Kepler, and Lambert solvers.
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      GeneDrive.jl21A package designed for simulating biological dynamics and control.
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      HierarchicalGaussianFiltering.jl21The Julia implementation of the generalised hierarchical Gaussian filter
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      UnitfulAstrodynamics.jl21Astrodynamics with units! Provides common astrodynamics calculations, plotting, and iterative Halo, Kepler, and Lambert solvers.
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      PiecewiseDeterministicMarkovProcesses.jl21Piecewise Deterministic Markov Processes in Julia
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      MCPTrajectoryGameSolver.jl21-
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      Trebuchet.jl21Throw stuff
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      SciPyDiffEq.jl21Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning organization
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      MATLABDiffEq.jl20Common interface bindings for the MATLAB ODE solvers via MATLAB.jl for the SciML Scientific Machine Learning ecosystem
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      TinyModia.jl20Deprecated package (use instead Modia.jl)
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      JuliaBUGS.jl20Implementation of domain specific language (DSL) for probabilistic graphical models
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      FMIExport.jl20FMIExport.jl is a free-to-use software library for the Julia programming language which allows for the export of FMUs (fmi-standard.org) from any Julia-Code. FMIExport.jl is completely integrated into FMI.jl.
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      MetacommunityDynamics.jl20Population and community dynamics on spatial graphs, in julia. (formerly EcoDynamics.jl)
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      ModiaMath.jl20Deprecated package (use instead Modia.jl)
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      CalibrateEDMF.jl20A package to calibrate atmospheric turbulence and convection parameterizations using gradient-free ensemble Kalman methods
 
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