Dependency Packages
-
Tables.jl299An interface for tables in Julia
-
FastGaussQuadrature.jl298Julia package for Gaussian quadrature
-
KrylovKit.jl279Krylov methods for linear problems, eigenvalues, singular values and matrix functions
-
FFTW.jl269Julia bindings to the FFTW library for fast Fourier transforms
-
QuadGK.jl268Adaptive 1d numerical Gauss–Kronrod integration 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.
-
StochasticDiffEq.jl248Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
-
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
-
StatsFuns.jl232Mathematical functions related to statistics.
-
NonlinearSolve.jl227High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
-
Combinatorics.jl214A combinatorics library for Julia
-
RecursiveArrayTools.jl212Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
-
LaTeXStrings.jl207Convenient input and display of LaTeX equation strings for the Julia language
-
Colors.jl204Color manipulation utilities for Julia
-
PrecompileTools.jl204Reduce time-to-first-execution of Julia code
-
AbstractTrees.jl200Abstract julia interfaces for working with trees
-
OffsetArrays.jl195Fortran-like arrays with arbitrary, zero or negative starting indices.
-
Requires.jl195Lazy code loading for Julia
-
BlockArrays.jl194BlockArrays for Julia
-
ColorSchemes.jl187Colorschemes, colormaps, gradients, and palettes
-
Nemo.jl184Julia bindings for various mathematical libraries (including flint2)
-
FillArrays.jl181Julia package for lazily representing matrices filled with a single entry
-
ConcurrentSim.jl175A discrete event process oriented simulation framework written in Julia. Formerly named SimJulia!
-
Accessors.jl175Update immutable data
-
SIMD.jl167Explicit SIMD vector operations for Julia
-
Setfield.jl165Update deeply nested immutable structs.
-
GeometryBasics.jl164Basic Geometry Types
-
DifferentiationInterface.jl163An interface to various automatic differentiation backends in Julia.
-
Reexport.jl162Julia macro for re-exporting one module from another
-
AbstractAlgebra.jl161Generic abstract algebra functionality in pure Julia (no C dependencies)
-
GPUCompiler.jl156Reusable compiler infrastructure for Julia GPU backends.
-
ResumableFunctions.jl156C# style generators a.k.a. semi-coroutines for Julia.
-
SimpleTraits.jl155Simple Traits for Julia
-
Pipe.jl153An enhancement to julia piping syntax
-
IterTools.jl152Common functional iterator patterns
-
Crayons.jl149Colored and styled strings for terminals.
-
Strided.jl147A Julia package for strided array views and efficient manipulations thereof
Loading more...