Dependency Packages

SparseDiffTools.jl201Fast jacobian computation through sparsity exploitation and matrix coloring

LinearSolve.jl178LinearSolve.jl: HighPerformance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.

Plots.jl1710Powerful convenience for Julia visualizations and data analysis

GPUArrays.jl270Reusable array functionality for Julia's various GPU backends.

YAML.jl101Parse yer YAMLs

ControlSystems.jl430A Control Systems Toolbox for Julia

SciMLOperators.jl30SciMLOperators.jl: MatrixFree Operators for the SciML Scientific Machine Learning Common Interface in Julia

QuadGK.jl210Adaptive 1d numerical Gaussâ€“Kronrod integration in Julia

Distributions.jl987A Julia package for probability distributions and associated functions.

TimerOutputs.jl564Formatted output of timed sections in Julia

Cthulhu.jl456The slow descent into madness

HTTP.jl592HTTP for Julia

SimpleBufferStream.jl4What Base.BufferStream should be

SymbolicUtils.jl454Expression rewriting and simplification

Symbolics.jl1169A fast and modern CAS for a fast and modern language.

ChainRulesCore.jl218ADbackend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

FillArrays.jl143Julia package for lazily representing matrices filled with a single entry

NonlinearSolve.jl112Highperformance and differentiationenabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and NewtonKrylov support.

OrdinaryDiffEq.jl425High performance ordinary differential equation (ODE) and differentialalgebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

ForwardDiff.jl778Forward Mode Automatic Differentiation for Julia

Combinatorics.jl204A combinatorics library for Julia

KrylovKit.jl203Krylov methods for linear problems, eigenvalues, singular values and matrix functions

JuliaSyntax.jl218A Julia frontend, written in Julia

ArrayInterface.jl125Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

Tables.jl264An interface for tables in Julia

PrecompileTools.jl128Reduce timetofirstexecution of Julia code

GR.jl342Plotting for Julia based on GR, a framework for visualisation applications

DiffEqBase.jl243The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

VersionParsing.jl13Flexible VersionNumber parsing in Julia

LaTeXStrings.jl184Convenient input and display of LaTeX equation strings for the Julia language

ColorVectorSpace.jl32Treat colors as if they are nvectors for the purposes of arithmetic

MutableArithmetics.jl45Interface for arithmetics on mutable types in Julia

Scratch.jl45Scratch spaces for all your persistent mutable data needs

PyCall.jl1347Package to call Python functions from the Julia language

Parsers.jl98Fast parsing machinery for basic types in Julia

FiniteDiff.jl202Fast nonallocating calculations of gradients, Jacobians, and Hessians with sparsity support

IterativeSolvers.jl358Iterative algorithms for solving linear systems, eigensystems, and singular value problems

MultivariatePolynomials.jl117Multivariate polynomials interface

DynamicPolynomials.jl53Multivariate polynomials implementation of commutative and noncommutative variables

StaticArrays.jl643Statically sized arrays for Julia
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