Dependency Packages
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VoronoiFVM.jl134Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method
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FinEtools.jl133Finite Element tools in Julia
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MethodOfLines.jl118Automatic Finite Difference PDE solving with Julia SciML
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DiffEqBayes.jl117Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
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Fermi.jl116Fermi quantum chemistry program
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ImplicitGlobalGrid.jl115Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid
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NBodySimulator.jl115A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
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Gaius.jl113Divide and Conquer Linear Algebra
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NonlinearSolve.jl112High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
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FunctionalModels.jl111Equation-based modeling and simulations in Julia
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GameTheory.jl111Algorithms and data structures for game theory in Julia
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DiffEqJump.jl109Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
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JumpProcesses.jl109Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
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ControlSystemIdentification.jl108System Identification toolbox for LTI systems, compatible with ControlSystems.jl
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ClimateTools.jl108Climate science package for Julia
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Avalon.jl105Starter kit for legendary models
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CausalityTools.jl104Algorithms for detecting associations, dynamical influences and causal inference from data.
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Causal.jl102Causal.jl - A modeling and simulation framework adopting causal modeling approach.
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ODE.jl101Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
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ODEFilters.jl100Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
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ProbNumDiffEq.jl100Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
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PerceptualColourMaps.jl99Perceptually Uniform Colour Maps for Julia
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Kinetic.jl96Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
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Mads.jl94MADS: Model Analysis & Decision Support
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SymbolicNumericIntegration.jl93SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
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LowLevelParticleFilters.jl90State estimation, smoothing and parameter estimation using Kalman and particle filters.
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RollingFunctions.jl90Roll a window over data; apply a function over the window.
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PowerDynamics.jl88Package for dynamical modeling of power grids
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Altro.jl87-
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Immerse.jl85Dive deeper into your data with interactive graphics
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TaylorIntegration.jl84ODE integration using Taylor's method, and more, in Julia
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ViscousFlow.jl84A framework for simulating viscous incompressible flows about arbitrary body shapes.
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ValidatedNumerics.jl81Rigorous floating-point calculations with interval arithmetic in Julia
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ImageProjectiveGeometry.jl78Projective geometry for computer vision in Julia
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SemanticModels.jl76A julia package for representing and manipulating model semantics
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ModelingToolkitStandardLibrary.jl76A standard library of components to model the world and beyond
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TSFrames.jl75Timeseries in Julia
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ReactiveMP.jl74High-performance reactive message-passing based Bayesian inference engine
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EasyModelAnalysis.jl74High level functions for analyzing the output of simulations
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OrbitalTrajectories.jl74OrbitalTrajectories.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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