Dependency Packages
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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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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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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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DynamicPolynomials.jl60Multivariate polynomials implementation of commutative and non-commutative variables
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DelayDiffEq.jl59Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
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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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ArrayLayouts.jl54A Julia package for describing array layouts and more general fast linear algebra
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CpuId.jl54Ask the CPU for cache sizes, SIMD feature support, a running hypervisor, and more.
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NaNMath.jl53Julia math built-ins which return NaN and accumulator functions which ignore NaN
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SortingAlgorithms.jl53Extra sorting algorithms extending Julia's sorting API
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Static.jl52Static types useful for dispatch and generated functions.
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PackageExtensionCompat.jl50Makes Julia's package extensions backwards compatible
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Unityper.jl50-
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CodecZlib.jl50Zlib codecs for TranscodingStreams.jl.
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ProgressLogging.jl49-
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MutableArithmetics.jl49Interface for arithmetics on mutable types in Julia
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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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Bijections.jl44Bijection datatype for Julia.
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BoundaryValueDiffEq.jl42Boundary value problem (BVP) solvers for scientific machine learning (SciML)
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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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PositiveFactorizations.jl38Positive-definite "approximations" to matrices
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ADTypes.jl38Repository for automatic differentiation backend types
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TermInterface.jl37Common interface for symbolic terms, allowing symbolic libraries with different underlying structures to interact and convert
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Format.jl37A Julia package to provide C and Python-like formatting support
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Sparspak.jl37Direct solution of large sparse systems of linear algebraic equations in pure Julia
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CommonSubexpressions.jl37Naïve combined subexpression elimination in Julia
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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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ConstructionBase.jl34Primitives for construction of objects
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PlotUtils.jl34Generic helper algorithms for building plotting components
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FFMPEG.jl34Julia Package for the FFMPEG builder binaries
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LibCURL.jl33Julia wrapper for libcurl
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UnicodeFun.jl33Functions to transform text into unicode symbols, e.g. latex --> unicode
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