Dependency Packages
-
Enzyme.jl438Julia bindings for the Enzyme automatic differentiator
-
Accessors.jl175Update immutable data
-
HeterogeneousComputing.jl2Tools for heterogeneous computing in Julia
-
Contour.jl44Calculating contour curves for 2D scalar fields in Julia
-
TranscodingStreams.jl85Simple, consistent interfaces for any codec.
-
Roots.jl342Root finding functions for Julia
-
Plots.jl1825Powerful convenience for Julia visualizations and data analysis
-
ConstructionBase.jl34Primitives for construction of objects
-
TypedTables.jl146Simple, fast, column-based storage for data analysis in Julia
-
NearestNeighbors.jl413High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.
-
GenericLinearAlgebra.jl148Generic numerical linear algebra 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.
-
ForwardDiff.jl888Forward Mode Automatic Differentiation for Julia
-
ChainRules.jl435Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
-
Latexify.jl558Convert julia objects to LaTeX equations, arrays or other environments.
-
DataStructures.jl690Julia implementation of Data structures
-
ClusterManagers.jl240-
-
HypothesisTests.jl296Hypothesis tests for Julia
-
Reexport.jl162Julia macro for re-exporting one module from another
-
FFTW.jl269Julia bindings to the FFTW library for fast Fourier transforms
-
LLVM.jl130Julia wrapper for the LLVM C API
-
TimerOutputs.jl651Formatted output of timed sections in Julia
-
StatsFuns.jl232Mathematical functions related to statistics.
-
Measurements.jl486Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.
-
StatsBase.jl584Basic statistics for Julia
-
CommonSolve.jl19A common solve function for scientific machine learning (SciML) and beyond
-
ADTypes.jl38Repository for automatic differentiation backend types
-
Format.jl37A Julia package to provide C and Python-like formatting support
-
InvertedIndices.jl81A simple index type that allows for inverted selections
-
ColorSchemes.jl187Colorschemes, colormaps, gradients, and palettes
-
FixedPointNumbers.jl79Fixed point types for julia
-
ValueShapes.jl12Duality of view between named variables and flat vectors in Julia
-
GPUCompiler.jl156Reusable compiler infrastructure for Julia GPU backends.
-
BenchmarkTools.jl607A benchmarking framework for the Julia language
-
Unitful.jl603Physical quantities with arbitrary units
-
PrecompileTools.jl204Reduce time-to-first-execution of Julia code
-
ArgTools.jl14Tools for writing functions that handle many kinds of IO arguments
-
Rmath.jl16Archive of functions that emulate R's d-p-q-r functions for probability distributions
-
Distributions.jl1102A Julia package for probability distributions and associated functions.
-
HypergeometricFunctions.jl68A Julia package for calculating hypergeometric functions
Loading more...