Dependency Packages
-
Plots.jl1825Powerful convenience for Julia visualizations and data analysis
-
ForwardDiff.jl888Forward Mode Automatic Differentiation for Julia
-
StaticArrays.jl761Statically sized arrays for Julia
-
LoopVectorization.jl742Macro(s) for vectorizing loops.
-
DataStructures.jl690Julia implementation of Data structures
-
TimerOutputs.jl651Formatted output of timed sections in Julia
-
HTTP.jl632HTTP for Julia
-
Unitful.jl603Physical quantities with arbitrary units
-
StatsBase.jl584Basic statistics for Julia
-
Latexify.jl558Convert julia objects to LaTeX equations, arrays or other environments.
-
OrdinaryDiffEq.jl533High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
-
Graphs.jl457An optimized graphs package for the Julia programming language
-
Enzyme.jl438Julia bindings for the Enzyme automatic differentiator
-
Parameters.jl419Types with default field values, keyword constructors and (un-)pack macros
-
MLStyle.jl402Julia functional programming infrastructures and metaprogramming facilities
-
GR.jl354Plotting for Julia based on GR, a framework for visualisation applications
-
SpecialFunctions.jl350Special mathematical functions in Julia
-
Krylov.jl338A Julia Basket of Hand-Picked Krylov Methods
-
GPUArrays.jl317Reusable array functionality for Julia's various GPU backends.
-
JSON.jl311JSON parsing and printing
-
MacroTools.jl310MacroTools provides a library of tools for working with Julia code and expressions.
-
DiffEqBase.jl309The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
-
LazyArrays.jl303Lazy arrays and linear algebra in Julia
-
Tables.jl299An interface for tables in Julia
-
ChainRulesCore.jl253AD-backend 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.
-
FiniteDiff.jl247Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
-
LinearSolve.jl244LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
-
Polyester.jl241The cheapest threads you can find!
-
SparseDiffTools.jl238Fast jacobian computation through sparsity exploitation and matrix coloring
-
NonlinearSolve.jl227High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
-
RecursiveArrayTools.jl212Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
-
Sundials.jl208Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
-
LaTeXStrings.jl207Convenient input and display of LaTeX equation strings for the Julia language
-
PrecompileTools.jl204Reduce time-to-first-execution of Julia code
-
Colors.jl204Color manipulation utilities for Julia
-
Requires.jl195Lazy code loading for Julia
-
OffsetArrays.jl195Fortran-like arrays with arbitrary, zero or negative starting indices.
-
BlockArrays.jl194BlockArrays for Julia
-
ColorSchemes.jl187Colorschemes, colormaps, gradients, and palettes
-
FillArrays.jl181Julia package for lazily representing matrices filled with a single entry
Loading more...