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chore(deps): Bump the all-julia-packages group across 1 directory with 2 updates#185

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chore(deps): Bump the all-julia-packages group across 1 directory with 2 updates#185
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Updates the requirements on DiffEqBase and SciMLBase to permit the latest version.
Updates DiffEqBase to 7.5.5

Changelog

Sourced from DiffEqBase'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 SciMLBase to 3.18.0

Release notes

Sourced from SciMLBase's releases.

v3.18.0

SciMLBase v3.18.0

Diff since v3.17.0

Merged pull requests:

Commits
  • 19b86b8 Merge pull request #1372 from ChrisRackauckas-Claude/claude/nonlinear-remake-...
  • 091c168 Preserve lb/ub when remaking Nonlinear(LeastSquares)Problem
  • 564f7e8 Merge pull request #1370 from ChrisRackauckas-Claude/downgrade-ci-reenable
  • 0a28556 Downgrade CI: use allow-reresolve=false (genuine test-at-floor)
  • 78b743b Merge pull request #1371 from ChrisRackauckas-Claude/centralize-ci
  • 9695d48 Centralize CI on SciML reusable workflows
  • 0a93843 Update Project.toml
  • e41f964 Merge pull request #1369 from KenoAIStaging/kf/base-istype
  • f87ad67 compat: use Base.isType for Type checks
  • 8890977 Merge pull request #1368 from ChrisRackauckas-Claude/downgrade-ci-reenable
  • Additional commits viewable in compare view

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…h 2 updates

Updates the requirements on [DiffEqBase](https://github.com/SciML/OrdinaryDiffEq.jl) and [SciMLBase](https://github.com/SciML/SciMLBase.jl) to permit the latest version.

Updates `DiffEqBase` to 7.5.5
- [Release notes](https://github.com/SciML/OrdinaryDiffEq.jl/releases)
- [Changelog](https://github.com/SciML/OrdinaryDiffEq.jl/blob/master/NEWS.md)
- [Commits](https://github.com/SciML/OrdinaryDiffEq.jl/commits)

Updates `SciMLBase` to 3.18.0
- [Release notes](https://github.com/SciML/SciMLBase.jl/releases)
- [Commits](SciML/SciMLBase.jl@v2.153.0...v3.18.0)

---
updated-dependencies:
- dependency-name: DiffEqBase
  dependency-version: 7.5.5
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: SciMLBase
  dependency-version: 3.18.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
...

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 Jun 9, 2026
@github-actions github-actions Bot merged commit b3dd4cb into main Jun 9, 2026
4 of 8 checks passed
@dependabot dependabot Bot deleted the dependabot/julia/all-julia-packages-5478b4bc92 branch June 9, 2026 08:58
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