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.

CSV.jl405Utility library for working with CSV and other delimited files in the Julia programming language

YAML.jl101Parse yer YAMLs

DataFrames.jl1593Inmemory tabular data in Julia

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

JuMP.jl1956Modeling language for Mathematical Optimization (linear, mixedinteger, conic, semidefinite, nonlinear)

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

GPUCompiler.jl115Reusable compiler infrastructure for Julia GPU backends.

CoordinateTransformations.jl158A fresh approach to coordinate transformations...

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

TimerOutputs.jl564Formatted output of timed sections in Julia

Cthulhu.jl456The slow descent into madness

GenericLinearAlgebra.jl131Generic numerical linear algebra in Julia

HTTP.jl592HTTP for Julia

Makie.jl1978Visualizations and plotting in Julia

IJulia.jl2629Julia kernel for Jupyter

SimpleBufferStream.jl4What Base.BufferStream should be

CategoricalArrays.jl118Arrays for working with categorical data (both nominal and ordinal)

AbstractFFTs.jl96A Julia framework for implementing FFTs

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.

KernelDensity.jl150Kernel density estimators for Julia

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

KernelAbstractions.jl250Heterogeneous programming in Julia

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)

InlineStrings.jl35Fixedwidth string types for Julia

ForwardDiff.jl778Forward Mode Automatic Differentiation for Julia

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

JuliaSyntax.jl218A Julia frontend, written in Julia

CUDA.jl974CUDA programming 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

NLopt.jl223Package to call the NLopt nonlinearoptimization library from the Julia language

VersionParsing.jl13Flexible VersionNumber parsing in Julia
Loading more...