Dependency Packages
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AlgebraicPetri.jl64Build Petri net models compositionally
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MultiScaleArrays.jl64A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
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Modia3D.jl64Modeling and Simulation of 3D systems
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StructuralIdentifiability.jl63Fast and automatic structural identifiability software for ODE systems
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IonSim.jl62A simple tool for simulating trapped ion systems
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IntervalConstraintProgramming.jl60Calculate rigorously the feasible region for a set of real-valued inequalities with Julia
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DynamicExpressions.jl60Ridiculously fast dynamic expressions.
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FundamentalsNumericalComputation.jl60Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.
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HighDimPDE.jl60A Julia package that breaks down the curse of dimensionality in solving PDEs.
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DiffEqUncertainty.jl59Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
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SciMLExpectations.jl59Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
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FMI.jl59FMI.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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ClimaCore.jl59CliMA model dycore
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AtomicGraphNets.jl58Atomic graph models for molecules and crystals in Julia
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TuringGLM.jl58Bayesian Generalized Linear models using `@formula` syntax.
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TaylorModels.jl58Rigorous function approximation using Taylor models in Julia
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OpenQuantumTools.jl57Julia toolkit for open quantum system simulation.
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GXBeam.jl56Pure Julia Implementation of Geometrically Exact Beam Theory
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RoME.jl56Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.
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DiffEqNoiseProcess.jl55A 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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ContactImplicitMPC.jl55Fast contact-implicit model predictive control for robotic systems that make and break contact with their environments.
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ReactionMechanismSimulator.jl54The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms
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DiffEqCallbacks.jl52A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
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QuantumCumulants.jl52Generalized mean-field equations in open quantum systems
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CellMLToolkit.jl51CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
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DiffEqParamEstim.jl51Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
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GpABC.jl50-
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DynamicalSystemsBase.jl50Definition of dynamical systems and integrators for DynamicalSystems.jl
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ReversePropagation.jl48-
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FluxMPI.jl48Distributed Data Parallel Training of Deep Neural Networks
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PETLION.jl47High-performance simulations of the Porous Electrode Theory for Li-ion batteries
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Conductor.jl47Choo-choo
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DiffEqPhysics.jl46A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
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DelayDiffEq.jl46Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
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SummationByPartsOperators.jl46A 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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CALIPSO.jl45Conic Augmented Lagrangian Interior-Point SOlver
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AlgebraicDynamics.jl45Building dynamical systems compositionally
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TaylorDiff.jl45Taylor-mode automatic differentiation for higher-order derivatives
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WorldDynamics.jl44An open-source framework written in Julia for global integrated assessment models.
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DiffEqDevTools.jl43Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
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