Dependency Packages
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SparseDiffTools.jl238Fast jacobian computation through sparsity exploitation and matrix coloring
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StatsFuns.jl232Mathematical functions related to statistics.
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NonlinearSolve.jl227High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
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Combinatorics.jl214A combinatorics library for Julia
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DataInterpolations.jl213A library of data interpolation and smoothing functions
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RecursiveArrayTools.jl212Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
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LaTeXStrings.jl207Convenient input and display of LaTeX equation strings for the Julia language
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PrecompileTools.jl204Reduce time-to-first-execution of Julia code
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Colors.jl204Color manipulation utilities for Julia
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NNlib.jl201Neural Network primitives with multiple backends
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AbstractTrees.jl200Abstract julia interfaces for working with trees
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Requires.jl195Lazy code loading for Julia
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OffsetArrays.jl195Fortran-like arrays with arbitrary, zero or negative starting indices.
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BlockArrays.jl194BlockArrays for Julia
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ColorSchemes.jl187Colorschemes, colormaps, gradients, and palettes
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FillArrays.jl181Julia package for lazily representing matrices filled with a single entry
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Accessors.jl175Update immutable data
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Setfield.jl165Update deeply nested immutable structs.
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DifferentiationInterface.jl163An interface to various automatic differentiation backends in Julia.
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Reexport.jl162Julia macro for re-exporting one module from another
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GPUCompiler.jl156Reusable compiler infrastructure for Julia GPU backends.
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SimpleTraits.jl155Simple Traits for Julia
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Pipe.jl153An enhancement to julia piping syntax
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Crayons.jl149Colored and styled strings for terminals.
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Compat.jl145Compatibility across Julia versions
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LoggingExtras.jl139Composable Loggers for the Julia Logging StdLib
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JumpProcesses.jl139Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
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DispatchDoctor.jl137The dispatch doctor prescribes type stability
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MultivariatePolynomials.jl135Multivariate polynomials interface
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ArrayInterface.jl133Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
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DynamicQuantities.jl132Efficient and type-stable physical quantities in Julia
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SciMLBase.jl130The Base interface of the SciML ecosystem
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LLVM.jl130Julia wrapper for the LLVM C API
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Preferences.jl129Project Preferences Package
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BandedMatrices.jl128A Julia package for representing banded matrices
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Glob.jl126Posix-compliant file name pattern matching
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PlotThemes.jl122Themes for the Julia plotting package Plots.jl
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LabelledArrays.jl120Arrays which also have a label for each element for easy scientific machine learning (SciML)
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Functors.jl116Parameterise all the things
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LineSearches.jl115Line search methods for optimization and root-finding
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