Dependency Packages
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RuntimeGeneratedFunctions.jl100Functions generated at runtime without world-age issues or overhead
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RandomNumbers.jl97Random Number Generators for the Julia Language.
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ArnoldiMethod.jl96The Arnoldi Method with Krylov-Schur restart, natively in Julia.
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DiffEqCallbacks.jl94A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
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ExponentialUtilities.jl93Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.
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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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EllipsisNotation.jl88Julia-based implementation of ellipsis array indexing notation `..`
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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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TranscodingStreams.jl85Simple, consistent interfaces for any codec.
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Tricks.jl85Cunning tricks though the julia compiler internals
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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.jl77🏩🏠🌆🏨🌇🏦
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DiffRules.jl76A simple shared suite of common derivative definitions
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RecursiveFactorization.jl75-
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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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Optimisers.jl72Optimisers.jl defines many standard optimisers and utilities for learning loops.
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Missings.jl70Missing value support for Julia
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HypergeometricFunctions.jl68A Julia package for calculating hypergeometric functions
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VectorizationBase.jl67Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.
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DiffEqNoiseProcess.jl63A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
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SimpleNonlinearSolve.jl63Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
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Scratch.jl58Scratch spaces for all your persistent mutable data needs
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BlockBandedMatrices.jl56A Julia package for representing block-banded matrices and banded-block-banded matrices
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FastClosures.jl54Faster closure variable capture
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CpuId.jl54Ask the CPU for cache sizes, SIMD feature support, a running hypervisor, and more.
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ArrayLayouts.jl54A Julia package for describing array layouts and more general fast linear algebra
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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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Tracker.jl51Flux's ex AD
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PackageExtensionCompat.jl50Makes Julia's package extensions backwards compatible
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