Dependency Packages
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SparseDiffTools.jl201Fast jacobian computation through sparsity exploitation and matrix coloring
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LinearSolve.jl178LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
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Plots.jl1710Powerful convenience for Julia visualizations and data analysis
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GPUArrays.jl270Reusable array functionality for Julia's various GPU backends.
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YAML.jl101Parse yer YAMLs
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SciMLOperators.jl30SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia
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QuadGK.jl210Adaptive 1d numerical Gauss–Kronrod integration in Julia
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Distributions.jl987A Julia package for probability distributions and associated functions.
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Cthulhu.jl456The slow descent into madness
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HTTP.jl592HTTP for Julia
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SimpleBufferStream.jl4What Base.BufferStream should be
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ChainRulesCore.jl218AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
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FillArrays.jl143Julia package for lazily representing matrices filled with a single entry
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NonlinearSolve.jl112High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
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OrdinaryDiffEq.jl425High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
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ForwardDiff.jl778Forward Mode Automatic Differentiation for Julia
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KrylovKit.jl203Krylov methods for linear problems, eigenvalues, singular values and matrix functions
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JuliaSyntax.jl218A Julia frontend, written in Julia
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ArrayInterface.jl125Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
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Tables.jl264An interface for tables in Julia
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PrecompileTools.jl128Reduce time-to-first-execution of Julia code
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GR.jl342Plotting for Julia based on GR, a framework for visualisation applications
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DiffEqBase.jl243The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
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LaTeXStrings.jl184Convenient input and display of LaTeX equation strings for the Julia language
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ColorVectorSpace.jl32Treat colors as if they are n-vectors for the purposes of arithmetic
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Pidfile.jl11Utility for creating advisory pidfiles (lock files)
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Scratch.jl45Scratch spaces for all your persistent mutable data needs
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Parsers.jl98Fast parsing machinery for basic types in Julia
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FiniteDiff.jl202Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
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IterativeSolvers.jl358Iterative algorithms for solving linear systems, eigensystems, and singular value problems
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StaticArrays.jl643Statically sized arrays for Julia
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LLVM.jl109Julia wrapper for the LLVM C API
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ExprTools.jl73Light-weight expression manipulation tools
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Krylov.jl265A Julia Basket of Hand-Picked Krylov Methods
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Latexify.jl497Convert julia objects to LaTeX equations, arrays or other environments.
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OffsetArrays.jl177Fortran-like arrays with arbitrary, zero or negative starting indices.
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SciMLBase.jl90The Base interface of the SciML ecosystem
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FixedPointNumbers.jl65Fixed point types for julia
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Revise.jl1053Automatically update function definitions in a running Julia session
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Graphs.jl364An optimized graphs package for the Julia programming language
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