Dependency Packages
-
AbstractFFTs.jl125A Julia framework for implementing FFTs
-
PlotThemes.jl122Themes for the Julia plotting package Plots.jl
-
DocStringExtensions.jl114Extensions for Julia's docsystem.
-
Parsers.jl114Fast parsing machinery for basic types in Julia
-
PreallocationTools.jl111Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
-
FunctionWrappers.jl103-
-
RuntimeGeneratedFunctions.jl100Functions generated at runtime without world-age issues or overhead
-
OrderedCollections.jl92Julia implementation of associative containers that preserve insertion order
-
Downloads.jl89-
-
Adapt.jl89-
-
SparseArrays.jl88SparseArrays.jl is a Julia stdlib
-
EnumX.jl87This is what I wish `Base.@enum` was.
-
Expronicon.jl85Collective tools for metaprogramming on Julia Expr
-
Tricks.jl85Cunning tricks though the julia compiler internals
-
TranscodingStreams.jl85Simple, consistent interfaces for any codec.
-
UnPack.jl84`@pack!` and `@unpack` macros
-
Tar.jl79TAR files: create, list, extract them in pure Julia
-
FixedPointNumbers.jl79Fixed point types for julia
-
ColorTypes.jl78Basic color definitions and traits
-
ExprTools.jl78Light-weight expression manipulation tools
-
ConcreteStructs.jl77π©π ππ¨ππ¦
-
DiffRules.jl76A simple shared suite of common derivative definitions
-
FastBroadcast.jl75-
-
LogExpFunctions.jl74Julia package for various special functions based on `log` and `exp`.
-
Missings.jl70Missing value support for Julia
-
Scratch.jl58Scratch spaces for all your persistent mutable data needs
-
CpuId.jl54Ask the CPU for cache sizes, SIMD feature support, a running hypervisor, and more.
-
FastClosures.jl54Faster closure variable capture
-
NaNMath.jl53Julia math built-ins which return NaN and accumulator functions which ignore NaN
-
SortingAlgorithms.jl53Extra sorting algorithms extending Julia's sorting API
-
Static.jl52Static types useful for dispatch and generated functions.
-
CodecZlib.jl50Zlib codecs for TranscodingStreams.jl.
-
SHA.jl46A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation
-
MuladdMacro.jl44This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem
-
Contour.jl44Calculating contour curves for 2D scalar fields in Julia
-
SciMLOperators.jl42SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia
-
MbedTLS.jl41Wrapper around mbedtls
-
RelocatableFolders.jl39-
-
ADTypes.jl38Repository for automatic differentiation backend types
-
CommonSubexpressions.jl37NaΓ―ve combined subexpression elimination in Julia
Loading more...