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@JuliaDiff

JuliaDiff

Differentiation Tools in Julia

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  1. ForwardDiff.jl ForwardDiff.jl Public

    Forward Mode Automatic Differentiation for Julia

    Julia 979 155

  2. DifferentiationInterface.jl DifferentiationInterface.jl Public

    An interface to various automatic differentiation backends in Julia.

    Julia 297 30

  3. ReverseDiff.jl ReverseDiff.jl Public

    Reverse Mode Automatic Differentiation for Julia

    Julia 383 57

  4. TaylorSeries.jl TaylorSeries.jl Public

    Taylor polynomial expansions in one and several independent variables.

    Julia 364 53

  5. ChainRules.jl ChainRules.jl Public

    forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

    Julia 467 96

  6. FiniteDifferences.jl FiniteDifferences.jl Public

    High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)

    Julia 315 28

Repositories

Showing 10 of 25 repositories
  • DifferentiationInterface.jl Public

    An interface to various automatic differentiation backends in Julia.

    JuliaDiff/DifferentiationInterface.jl’s past year of commit activity
    Julia 297 MIT 30 48 5 Updated Feb 2, 2026
  • ChainRules.jl Public

    forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

    JuliaDiff/ChainRules.jl’s past year of commit activity
    Julia 467 96 97 (5 issues need help) 42 Updated Jan 30, 2026
  • ForwardDiff.jl Public

    Forward Mode Automatic Differentiation for Julia

    JuliaDiff/ForwardDiff.jl’s past year of commit activity
    Julia 979 155 114 37 Updated Jan 29, 2026
  • TaylorDiff.jl Public

    Taylor-mode automatic differentiation for higher-order derivatives

    JuliaDiff/TaylorDiff.jl’s past year of commit activity
    Julia 81 MIT 11 8 0 Updated Jan 16, 2026
  • ReverseDiff.jl Public

    Reverse Mode Automatic Differentiation for Julia

    JuliaDiff/ReverseDiff.jl’s past year of commit activity
    Julia 383 57 72 6 Updated Jan 13, 2026
  • ChainRulesCore.jl Public

    AD-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.

    JuliaDiff/ChainRulesCore.jl’s past year of commit activity
    Julia 263 66 112 (6 issues need help) 26 Updated Dec 24, 2025
  • FiniteDiff.jl Public

    Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

    JuliaDiff/FiniteDiff.jl’s past year of commit activity
    Julia 284 40 11 1 Updated Dec 15, 2025
  • PolyesterForwardDiff.jl Public
    JuliaDiff/PolyesterForwardDiff.jl’s past year of commit activity
    Julia 35 MIT 5 1 2 Updated Dec 15, 2025
  • TaylorSeries.jl Public

    Taylor polynomial expansions in one and several independent variables.

    JuliaDiff/TaylorSeries.jl’s past year of commit activity
    Julia 364 53 32 3 Updated Dec 8, 2025
  • Diffractor.jl Public

    Next-generation AD

    JuliaDiff/Diffractor.jl’s past year of commit activity
    Julia 453 MIT 32 40 (1 issue needs help) 21 Updated Nov 24, 2025
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