Dependency Packages

DifferentialEquations.jl2503Multilanguage suite for highperformance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differentialalgebraic equations (DAEs), and more in Julia.

Plots.jl1710Powerful convenience for Julia visualizations and data analysis

ModelingToolkit.jl1212An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physicsinformed machine learning and automated transformations of differential equations

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

Revise.jl1053Automatically update function definitions in a running Julia session

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

Optim.jl960Optimization functions for Julia

ForwardDiff.jl778Forward Mode Automatic Differentiation for Julia

LoopVectorization.jl659Macro(s) for vectorizing loops.

StaticArrays.jl643Statically sized arrays for Julia

DataStructures.jl616Julia implementation of Data structures

HTTP.jl592HTTP for Julia

JET.jl571An experimental code analyzer for Julia. No need for additional type annotations.

TimerOutputs.jl564Formatted output of timed sections in Julia

StatsBase.jl525Basic statistics for Julia

Unitful.jl509Physical quantities with arbitrary units

Latexify.jl497Convert julia objects to LaTeX equations, arrays or other environments.

JuliaFormatter.jl477An opinionated code formatter for Julia. Plot twist  the opinion is your own.

Cthulhu.jl456The slow descent into madness

SymbolicUtils.jl454Expression rewriting and simplification

Lazy.jl450I was gonna maintain this package, but then I got high

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

Parameters.jl385Types with default field values, keyword constructors and (un)pack macros

Distances.jl376A Julia package for evaluating distances (metrics) between vectors.

Graphs.jl364An optimized graphs package for the Julia programming language

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

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

SpecialFunctions.jl305Special mathematical functions in Julia

JSON.jl290JSON parsing and printing

SnoopCompile.jl289Making packages work faster with more extensive precompilation

MacroTools.jl281MacroTools provides a library of tools for working with Julia code and expressions.

NLsolve.jl278Julia solvers for systems of nonlinear equations and mixed complementarity problems

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

Krylov.jl265A Julia Basket of HandPicked Krylov Methods

Tables.jl264An interface for tables in Julia

Calculus.jl260Calculus functions in Julia

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

StatsFuns.jl224Mathematical functions related to statistics.

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.

JuliaSyntax.jl218A Julia frontend, written in Julia
Loading more...