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Bump the all-julia-dependencies group across 3 directories with 8 updates - #351

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Bump the all-julia-dependencies group across 3 directories with 8 updates#351
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Note

This update adds <0.0.1 to standard library compat entries. Before Julia 1.10, Pkg.test() gave standard libraries version 0.0.0, so while the julia compat entry admits those releases, a stdlib compat entry needs <0.0.1 for tests to resolve. Raising the julia compat entry to 1.10 or later removes the need for it. See the stdlib compat PSA.

Updates the requirements on LinearAlgebra, OrderedCollections, SparseArrays, Polynomials, Symbolics, OrdinaryDiffEq, Test and Pkg to permit the latest version.
Updates LinearAlgebra to

Updates OrderedCollections to 2.0.3

Release notes

Sourced from OrderedCollections's releases.

v2.0.3

OrderedCollections v2.0.3

Diff since v2.0.2

Merged pull requests:

Commits

Updates SparseArrays to

Updates Polynomials to 4.1.3

Release notes

Sourced from Polynomials's releases.

v4.1.3

What's Changed

New Contributors

Full Changelog: JuliaMath/Polynomials.jl@v4.1.2...v4.1.3

Commits

Updates Symbolics to 7.46.0

Release notes

Sourced from Symbolics's releases.

v7.46.0

Symbolics v7.46.0

Diff since v7.45.0

Minor release of Symbolics v7.46.0.

🤖 Posted by an AI agent — harness: Claude Code 2.1.301 · model: claude-opus-5-5 Conversation: https://claude.ai/code/session_01VZjwf7Ux9YtTzwHGHMqnsq

Merged pull requests:

Closed issues:

  • Need an efficient way to truncate power series on-the-fly (#1641)
  • Expansion of sqrt for integers (#1875)
Changelog

Sourced from Symbolics's changelog.

7.37.0

Behavior changes

  • is_derivative now unwraps wrapper types before inspecting the expression, so is_derivative(D(x)) is true where it previously returned false (D(x) is a Num, and the old catch-all method answered false for anything that was not a raw expression tree). This applies to any registered wrapper, including Arr. Code that relied on the old answer to distinguish a wrapped value from an unwrapped one should test Symbolics.iswrapped instead.

7.0.0

Breaking changes

  • substitute no longer recurses into Differential arguments. This is due to SymbolicUtils.jl v4's default_substitute_filter, which treats Operator subclasses (including Differential) as substitution boundaries. Use the new substitute_in_deriv or substitute_in_deriv_and_depvar functions to substitute inside Differential expressions. See the Derivatives documentation for details.

4.0.0

  • Symbolics.jl now supports the latest symbolic computing architecture backed by Metatheory.jl v1.2 and SymbolicUtils.jl v0.18 for generic term rewriting.
  • Support for automatic code optimization through Metatheory.jl EGraphs and SymbolicUtils's optimize function.

3.3.0

  • adds simplify_fractions which turns an expression into a single fraction and simplifies by dividing the numerator and denominator factors by appropriate GCDs
  • Use new fraction_iszero and fraction_isone functions from SymbolicUtils to implement iszero and isone respectively.
  • x / x etc. are no more simplified on construction, call simplify_fractions to simplify them.
Commits

Updates Symbolics to 7.46.0

Release notes

Sourced from Symbolics's releases.

v7.46.0

Symbolics v7.46.0

Diff since v7.45.0

Minor release of Symbolics v7.46.0.

🤖 Posted by an AI agent — harness: Claude Code 2.1.301 · model: claude-opus-5-5 Conversation: https://claude.ai/code/session_01VZjwf7Ux9YtTzwHGHMqnsq

Merged pull requests:

Closed issues:

  • Need an efficient way to truncate power series on-the-fly (#1641)
  • Expansion of sqrt for integers (#1875)
Changelog

Sourced from Symbolics's changelog.

7.37.0

Behavior changes

  • is_derivative now unwraps wrapper types before inspecting the expression, so is_derivative(D(x)) is true where it previously returned false (D(x) is a Num, and the old catch-all method answered false for anything that was not a raw expression tree). This applies to any registered wrapper, including Arr. Code that relied on the old answer to distinguish a wrapped value from an unwrapped one should test Symbolics.iswrapped instead.

7.0.0

Breaking changes

  • substitute no longer recurses into Differential arguments. This is due to SymbolicUtils.jl v4's default_substitute_filter, which treats Operator subclasses (including Differential) as substitution boundaries. Use the new substitute_in_deriv or substitute_in_deriv_and_depvar functions to substitute inside Differential expressions. See the Derivatives documentation for details.

4.0.0

  • Symbolics.jl now supports the latest symbolic computing architecture backed by Metatheory.jl v1.2 and SymbolicUtils.jl v0.18 for generic term rewriting.
  • Support for automatic code optimization through Metatheory.jl EGraphs and SymbolicUtils's optimize function.

3.3.0

  • adds simplify_fractions which turns an expression into a single fraction and simplifies by dividing the numerator and denominator factors by appropriate GCDs
  • Use new fraction_iszero and fraction_isone functions from SymbolicUtils to implement iszero and isone respectively.
  • x / x etc. are no more simplified on construction, call simplify_fractions to simplify them.
Commits

Updates OrdinaryDiffEq to 7.8.1

Changelog

Sourced from OrdinaryDiffEq's changelog.

OrdinaryDiffEq.jl v7 / DifferentialEquations.jl v8 Breaking Changes

This release bumps to SciMLBase v3, RecursiveArrayTools v4, and includes breaking changes across DiffEqBase, OrdinaryDiffEqCore, and all solver sublibraries. It also coincides with the DifferentialEquations.jl v8 umbrella release, which is itself a breaking change to the user-facing meta-package.

DifferentialEquations.jl v8: scope reduction

DifferentialEquations.jl v8 no longer re-exports the full SciML solver suite. Previously, using DifferentialEquations pulled in OrdinaryDiffEq, StochasticDiffEq, DelayDiffEq, BoundaryValueDiffEq, Sundials, JumpProcesses, SteadyStateDiffEq, LinearSolve, NonlinearSolve, Optimization, etc. — a large default surface that drove up using time and made it unclear which package any given solver actually came from.

In v8, using DifferentialEquations only loads OrdinaryDiffEq. All other solver families have been removed from the umbrella. If your code relied on DifferentialEquations for SDEs, DDEs, BVPs, jumps, steady states, or any non-ODE solver, you will need to add the topic-specific package to your project explicitly.

Migration

Find the topic you need a solver for and add the corresponding sublib(s) directly. The DiffEqDocs tutorials and solver pages now specify, per algorithm, which package it ships from. Common cases:

Topic Old (DiffEq v7 umbrella) New (DiffEq v8)
ODEs using DifferentialEquations using OrdinaryDiffEq (or using OrdinaryDiffEqTsit5, OrdinaryDiffEqRosenbrock, … for individual solver families)
Stochastic ODEs using DifferentialEquations using StochasticDiffEq
Delay ODEs using DifferentialEquations using DelayDiffEq
Boundary value problems using DifferentialEquations using BoundaryValueDiffEq (or one of BoundaryValueDiffEqMIRK, BoundaryValueDiffEqFIRK, BoundaryValueDiffEqShooting, …)
Jump processes using DifferentialEquations using JumpProcesses
Steady state using DifferentialEquations using SteadyStateDiffEq
DAEs (mass matrix or implicit) using DifferentialEquations using OrdinaryDiffEq (mass matrix), using Sundials (IDA), or topic sublib
Sundials wrappers (CVODE, IDA, ARKODE) using DifferentialEquations using Sundials
Linear / nonlinear / optimization using DifferentialEquations using LinearSolve / using NonlinearSolve / using Optimization

For ODE work specifically, prefer importing only the sublib you need (e.g. using OrdinaryDiffEqTsit5: Tsit5) rather than the umbrella using OrdinaryDiffEq — the v7 ecosystem split lets you trim using time substantially. The DiffEqDocs tutorials and solver index annotate every algorithm with its host sublib.

Why

Removing the meta-package's broad re-exports lets each topic's package version cycle independently, eliminates the long using DifferentialEquations precompile chain for users who only need ODEs, and makes the dependency graph for any given script honest about what's actually being loaded.

This change is independent of the OrdinaryDiffEq v7 changes below — OrdinaryDiffEq v7 ships with DifferentialEquations v8, but you can also use OrdinaryDiffEq v7 directly without the umbrella package at all.

OrdinaryDiffEq.jl v7 Breaking Changes

This release bumps to SciMLBase v3, RecursiveArrayTools v4, and includes breaking changes across DiffEqBase, OrdinaryDiffEqCore, and all solver sublibraries.

Themes of the v7 release

Most of the breaking changes fall into a small set of recurring themes. Keep these in mind while reading the migration table — they explain why an individual change exists and often suggest the right migration direction:

  • Time to first solve (TTFS) reduction. Direct deps on Static.jl, StaticArrayInterface.jl, Polyester.jl, and StaticArrays.jl were dropped; using OrdinaryDiffEq now loads only the default solver set; ODEFunction switched to AutoSpecialize. All of this means less code loaded and more precompilation caching on first solve.

  • Type stability everywhere. All Bool solver/solve keyword arguments (autodiff, verbose, alias, lazy, …) were replaced by typed objects. Passing a Bool no longer changes dispatch in ways the compiler cannot specialize on, and the reverse is no longer allowed to silently fall back through slow generic paths. For example:

    # v6 — a Bool
Rosenbrock23(autodiff = true)
solve(prob, alg; verbose = false, alias = true)

... (truncated)

Commits

Updates LinearAlgebra to

Updates Symbolics to 7.46.0

Release notes

Sourced from Symbolics's releases.

v7.46.0

Symbolics v7.46.0

Diff since v7.45.0

Minor release of Symbolics v7.46.0.

🤖 Posted by an AI agent — harness: Claude Code 2.1.301 · model: claude-opus-5-5 Conversation: https://claude.ai/code/session_01VZjwf7Ux9YtTzwHGHMqnsq

Merged pull requests:

Closed issues:

  • Need an efficient way to truncate power series on-the-fly (#1641)
  • Expansion of sqrt for integers (#1875)
Changelog

Sourced from Symbolics's changelog.

7.37.0

Behavior changes

  • is_derivative now unwraps wrapper types before inspecting the expression, so is_derivative(D(x)) is true where it previously returned false (D(x) is a Num, and the old catch-all method answered false for anything that was not a raw expression tree). This applies to any registered wrapper, including Arr. Code that relied on the old answer to distinguish a wrapped value from an unwrapped one should test Symbolics.iswrapped instead.

7.0.0

Breaking changes

  • substitute no longer recurses into Differential arguments. This is due to SymbolicUtils.jl v4's default_substitute_filter, which treats Operator subclasses (including Differential) as substitution boundaries. Use the new substitute_in_deriv or substitute_in_deriv_and_depvar functions to substitute inside Differential expressions. See the Derivatives documentation for details.

4.0.0

  • Symbolics.jl now supports the latest symbolic computing architecture backed by Metatheory.jl v1.2 and SymbolicUtils.jl v0.18 for generic term rewriting.
  • Support for automatic code optimization through Metatheory.jl EGraphs and SymbolicUtils's optimize function.

3.3.0

  • adds simplify_fractions which turns an expression into a single fraction and simplifies by dividing the numerator and denominator factors by appropriate GCDs
  • Use new fraction_iszero and fraction_isone functions from SymbolicUtils to implement iszero and isone respectively.
  • x / x etc. are no more simplified on construction, call simplify_fractions to simplify them.
Commits

Updates Test to

Updates Pkg to

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@dependabot
Bump the all-julia-dependencies group across 3 directories with 8 upd…
dc6828e 
…ates

Updates the requirements on LinearAlgebra, [OrderedCollections](https://github.com/JuliaCollections/OrderedCollections.jl), SparseArrays, [Polynomials](https://github.com/JuliaMath/Polynomials.jl), [Symbolics](https://github.com/JuliaSymbolics/Symbolics.jl), [OrdinaryDiffEq](https://github.com/SciML/OrdinaryDiffEq.jl), Test and Pkg to permit the latest version.

Updates `LinearAlgebra` to 

Updates `OrderedCollections` to 2.0.3
- [Release notes](https://github.com/JuliaCollections/OrderedCollections.jl/releases)
- [Commits](JuliaCollections/OrderedCollections.jl@v1.0.0...v2.0.3)

Updates `SparseArrays` to 

Updates `Polynomials` to 4.1.3
- [Release notes](https://github.com/JuliaMath/Polynomials.jl/releases)
- [Commits](https://github.com/JuliaMath/Polynomials.jl/commits/v4.1.3)

Updates `Symbolics` to 7.46.0
- [Release notes](https://github.com/JuliaSymbolics/Symbolics.jl/releases)
- [Changelog](https://github.com/JuliaSymbolics/Symbolics.jl/blob/master/NEWS.md)
- [Commits](https://github.com/JuliaSymbolics/Symbolics.jl/commits/v7.46.0)

Updates `Symbolics` to 7.46.0
- [Release notes](https://github.com/JuliaSymbolics/Symbolics.jl/releases)
- [Changelog](https://github.com/JuliaSymbolics/Symbolics.jl/blob/master/NEWS.md)
- [Commits](https://github.com/JuliaSymbolics/Symbolics.jl/commits/v7.46.0)

Updates `OrdinaryDiffEq` to 7.8.1
- [Release notes](https://github.com/SciML/OrdinaryDiffEq.jl/releases)
- [Changelog](https://github.com/SciML/OrdinaryDiffEq.jl/blob/master/NEWS.md)
- [Commits](SciML/OrdinaryDiffEq.jl@v6.0.0...v7.8.1)

Updates `LinearAlgebra` to 

Updates `Symbolics` to 7.46.0
- [Release notes](https://github.com/JuliaSymbolics/Symbolics.jl/releases)
- [Changelog](https://github.com/JuliaSymbolics/Symbolics.jl/blob/master/NEWS.md)
- [Commits](https://github.com/JuliaSymbolics/Symbolics.jl/commits/v7.46.0)

Updates `Test` to 

Updates `Pkg` to 

---
updated-dependencies:
- dependency-name: LinearAlgebra
  dependency-version:
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: OrderedCollections
  dependency-version: 2.0.3
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: SparseArrays
  dependency-version:
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: Polynomials
  dependency-version: 4.1.3
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: Symbolics
  dependency-version: 7.46.0
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: Symbolics
  dependency-version: 7.46.0
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: OrdinaryDiffEq
  dependency-version: 7.8.1
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: LinearAlgebra
  dependency-version:
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: Symbolics
  dependency-version: 7.46.0
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: Test
  dependency-version:
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
- dependency-name: Pkg
  dependency-version:
  dependency-type: direct:production
  dependency-group: all-julia-dependencies
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file julia Pull requests that update julia code labels Oct 21, 2026
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dependabot Bot commented on behalf of github Oct 22, 2026

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Looks like these dependencies are updatable in another way, so this is no longer needed.

@dependabot dependabot Bot closed this Oct 22, 2026
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dependabot Bot deleted the dependabot/julia/all-julia-dependencies-b883f010b7 branch October 22, 2026 05:37
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