Dependency Packages
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DocStringExtensions.jl114Extensions for Julia's docsystem.
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PreallocationTools.jl111Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes
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FunctionWrappers.jl103-
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RuntimeGeneratedFunctions.jl100Functions generated at runtime without world-age issues or overhead
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OrderedCollections.jl92Julia implementation of associative containers that preserve insertion order
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Downloads.jl89-
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Adapt.jl89-
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SparseArrays.jl88SparseArrays.jl is a Julia stdlib
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EnumX.jl87This is what I wish `Base.@enum` was.
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Tricks.jl85Cunning tricks though the julia compiler internals
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TranscodingStreams.jl85Simple, consistent interfaces for any codec.
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Expronicon.jl85Collective tools for metaprogramming on Julia Expr
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UnPack.jl84`@pack!` and `@unpack` macros
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FixedPointNumbers.jl79Fixed point types for julia
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Tar.jl79TAR files: create, list, extract them in pure Julia
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ColorTypes.jl78Basic color definitions and traits
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ExprTools.jl78Light-weight expression manipulation tools
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ConcreteStructs.jl77π©π ππ¨ππ¦
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DiffRules.jl76A simple shared suite of common derivative definitions
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FastBroadcast.jl75-
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LogExpFunctions.jl74Julia package for various special functions based on `log` and `exp`.
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Missings.jl70Missing value support for Julia
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Scratch.jl58Scratch spaces for all your persistent mutable data needs
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CpuId.jl54Ask the CPU for cache sizes, SIMD feature support, a running hypervisor, and more.
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FastClosures.jl54Faster closure variable capture
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SortingAlgorithms.jl53Extra sorting algorithms extending Julia's sorting API
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NaNMath.jl53Julia math built-ins which return NaN and accumulator functions which ignore NaN
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Static.jl52Static types useful for dispatch and generated functions.
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CodecZlib.jl50Zlib codecs for TranscodingStreams.jl.
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SHA.jl46A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation
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Contour.jl44Calculating contour curves for 2D scalar fields in Julia
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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
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SciMLOperators.jl42SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia
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MbedTLS.jl41Wrapper around mbedtls
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RelocatableFolders.jl39-
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ADTypes.jl38Repository for automatic differentiation backend types
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CommonSubexpressions.jl37NaΓ―ve combined subexpression elimination in Julia
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Format.jl37A Julia package to provide C and Python-like formatting support
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ColorVectorSpace.jl35Treat colors as if they are n-vectors for the purposes of arithmetic
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DiffResults.jl35A package which provides an API for querying differentiation results at multiple orders simultaneously
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