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Update DiffEqBase requirement from 6 to 6, 7.21 - #89

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Updates the requirements on DiffEqBase to permit the latest version.

Release notes

Sourced from DiffEqBase's releases.

DiffEqBase-v7.21.1

DiffEqBase DiffEqBase-v7.21.1

Diff since DiffEqBase-v7.21.0

  • Release OrdinaryDiffEqBDF 2.4.7 (#4490)
  • Unify companion global error estimators into GlobalErrorEstimation (#4492)
  • Add adjoint-based global error control as a SciMLSensitivity extension (#3953)
  • ExpRK: cache ishermitian (rebase of #4305, + review fixes) (#4497)
  • Mark discrete time-grid search helpers as Enzyme inactive (#4496)
  • GlobalAdjoint: every-step trajectory scope and step-grid control (#4495)
  • GlobalAdjoint: defer to adjoint_sensitivities default instead of pinning an adjoint (#4498)
  • Release GlobalDiffEq 1.7.1 (#4501)
  • Fix GlobalDiffEq precompilation on Julia 1.13 and companion accuracy (#4500)
  • Make mass-matrix identity/zero/diagonal checks GPU-safe (#4502)

🤖 Posted by an AI agent — harness: Claude Code, model: claude-opus-5[1m]. Chris asked for this release.

https://claude.ai/code/session_014FEzNTLFutCmTEAZ3zBg5R

Merged pull requests:

Closed issues:

  • Unrecognized keyword arguments: [:du0] after remake (#2138)
  • Incorrect solution.stats.nf in implicit methods on SecondOrderODEProblems (#2537)

... (truncated)

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
  • 5cc92dd Fix BDF rejected-step controller for backward (tdir < 0) solves (#4519)
  • 438c16c Release DiffEqBase 7.21.1 (#4521)
  • a44c3a7 Add 4th-order Friedli Exponential Runge-Kutta solver (#4481)
  • 7b0f4ae fix: save all simultaneous events in a VCC (#4129)
  • 64d932c Add regression tests for issues verified fixed in recent releases (#4517)
  • 310f147 qa: allow JET 0.12 in OrdinaryDiffEqCore/BDF/NonlinearSolve QA envs (#4516)
  • 9adcec0 Release StochasticDiffEqCore 2.2.2 (#4512)
  • 063a3ce Release OrdinaryDiffEqRosenbrock 2.7.2 (#4511)
  • 910a1b7 Release OrdinaryDiffEqFIRK 2.8.5 (#4510)
  • 8f4dac8 Release OrdinaryDiffEqDefault 2.6.1 (#4509)
  • Additional commits viewable in compare view

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Updates the requirements on [DiffEqBase](https://github.com/SciML/OrdinaryDiffEq.jl) to permit the latest version.
- [Release notes](https://github.com/SciML/OrdinaryDiffEq.jl/releases)
- [Changelog](https://github.com/SciML/OrdinaryDiffEq.jl/blob/master/NEWS.md)
- [Commits](SciML/OrdinaryDiffEq.jl@DiffEqBase-v6.0.0...DiffEqBase-v7.21.1)

---
updated-dependencies:
- dependency-name: DiffEqBase
  dependency-version: 7.21.1
  dependency-type: direct:production
...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file julia Pull requests that update julia code labels Sep 12, 2026
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