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Bump the all-julia-packages group across 1 directory with 16 updates #24

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Updates the requirements on CSV, DataDrivenDiffEq, DiffEqSensitivity, BenchmarkTools, Optim, LaTeXStrings, Tracker, DiffEqFlux, Flux, OrdinaryDiffEq, Plots, ModelingToolkit, DataInterpolations, BlackBoxOptim, Zygote and DataFrames to permit the latest version.
Updates CSV to 0.10.15

Release notes

Sourced from CSV's releases.

v0.10.15

CSV v0.10.15

Diff since v0.10.14

Merged pull requests:

Closed issues:

  • Keyword decimal not respected for AbstractFloats in CSV.write() (#1108)
  • Incorrect results for argmax with multithreaded parsing (#1128)
  • CSV.File failing for gzipped file in Julia 1.11-rc (#1137)
Commits

Updates DataDrivenDiffEq to 1.10.0

Release notes

Sourced from DataDrivenDiffEq's releases.

v1.10.0

DataDrivenDiffEq v1.10.0

Diff since v1.9.2

Merged pull requests:

Closed issues:

  • solve throws MethodError: cannot convert BasicSymbolc to a Float64 for ODEProblem created from Basis (#559)
Commits
  • 86ae259 Update Project.toml
  • 14a67d3 Merge pull request #561 from ChrisRackauckas-Claude/fix-basis-parameter-unwra...
  • e7acb81 Update test/basis/basis.jl
  • eb63757 Update test/basis/basis.jl
  • da7ee2a Fix symbolic to numeric conversion using Symbolics.unwrap (#559)
  • 6caca6b Update Project.toml
  • 7613da5 Merge pull request #558 from ChrisRackauckas-Claude/fix-basis-isinplace-554
  • 872dace Fix isinplace detection for Basis types (#554)
  • 46d8a0e Merge pull request #557 from SciML/compathelper/new_version/2025-09-26-07-03-...
  • ec631aa CompatHelper: bump compat for SymbolicUtils to 4, (keep existing compat)
  • Additional commits viewable in compare view

Updates DiffEqSensitivity to 6.79.0

Release notes

Sourced from DiffEqSensitivity's releases.

v6.79.0

DiffEqSensitivity v6.79.0

Diff since v6.78.5

Closed issues:

  • EnsembleProblems and equivalent for loops lead to different Zygote gradients (#611)
  • Better error message for non-mutating ODEForwardSensitivityProblem (#624)

Merged pull requests:

Commits

Updates BenchmarkTools to 1.6.3

Release notes

Sourced from BenchmarkTools's releases.

v1.6.3

BenchmarkTools v1.6.3

Diff since v1.6.2

Merged pull requests:

Commits

Updates Optim to 1.13.3

Release notes

Sourced from Optim's releases.

v1.13.3

What's Changed

Full Changelog: JuliaNLSolvers/Optim.jl@v1.13.2...v1.13.3

Changelog

Sourced from Optim's changelog.

Optim master release notes

  • Fix Preconditioning example for v1.0 syntax
  • Improve handling of alternative number types in univariate optimization
  • Add conditional likelihood example to docs
  • Improve Fminbox trace printing.

Optim v0.17.2 release notes

  • Fix some typos
  • Fix doc building

Optim v0.17.0 release notes

  • Drop support for Julia versions less 1.0. Optim v.17.1 is also out.

Optim v0.11.0 release notes

  • Optional scaling for inverse Hessian in L-BFGS
  • Support for initial step length guesses via LineSearches

Optim v0.10.0 release notes

  • Support for optimization on Riemannian manifolds
  • Support for optimization of functions of complex variables
  • New experimental KrylovTrustRegion method useful when cheap Hessian-vector products are available.
  • Improved support for BigFloats
  • Add doc strings to methods
  • Drop support for Julia versions less than v0.6.0-pre

Optim v0.9.0 release notes

  • Fminbox: If an initial guess is on the boundary of the box, the guess is moved inside the box and a warning is produced, as opposed to crashing with an error.
  • Significant changes to the Non-, Once-, and TwiceDifferentiable setup; these now hold temporaries relevant to the evaluation of objectives, gradients, and Hessians. They also hold f-, g-, and h_calls counters.
  • Refactor tests
  • Drop v0.4 support
  • Add limits to f-, g-, and h_calls
  • Improve trace for univariate optimization
  • Changed order of storage arrays and evaluation point arrays in gradient and Hessian calls
  • Skip v0.8.0 to allow fixes on Julia v0.5.0

Optim v0.7.6 release notes

  • Fix deprecations for *Function constructors
  • Fix depwarns on Julia master (v0.6)
  • Update references to new JuliaNLSolvers home for Optim+family

Optim v0.7.5 release notes

  • Various bug fixes
  • Deprecate DifferentiableFunction, TwiceDifferentiable in favor of OnceDifferentiable, TwiceDifferentiable
  • widen some type annotations (e.g. allow for multidimensional arrays as inputs again)
  • introduce allow_f_increases keyword in Optim.Options to allow objective to increase between iterations
  • New option in Optim.Options: allow_f_increases. Defaults to false, but if set to true, the solver will not stop even if a step leads to an increase in the objective.
  • Newton and BFGS: set initial step length to one. See 328.

Optim v0.7.3 release notes

... (truncated)

Commits

Updates LaTeXStrings to 1.4.0

Release notes

Sourced from LaTeXStrings's releases.

v1.4.0

LaTeXStrings v1.4.0

Diff since v1.3.1

Merged pull requests:

Closed issues:

  • How to underline a text in julia using Latex String? (#71)
  • Hyphens are turned into minus signs (#73)
Commits

Updates Tracker to 0.2.38

Release notes

Sourced from Tracker's releases.

v0.2.38

Tracker v0.2.38

Diff since v0.2.37

Merged pull requests:

Commits

Updates DiffEqFlux to 4.5.0

Commits

Updates Flux to 0.16.5

Release notes

Sourced from Flux's releases.

v0.16.5

Flux v0.16.5

Diff since v0.16.4

Merged pull requests:

Closed issues:

  • unsafe_free! from MLDataDevices fails for CuArray{CartesianIndex{4}, 1, CUDA.DeviceMemory}) (#2612)
Changelog

Sourced from Flux's changelog.

Flux Release Notes

See also github's page for a complete list of PRs merged before each release.

v0.16.0 (15 December 2025)

This release has a single breaking change:

  • The recurrent cells RNNCell, LSTMCell, and GRUCell forward has been changed to $y_t, state_t = cell(x_t, state_{t-1})$. Previously, it was $state_t = cell(x_t, state_{t-1})$.

Other highlights include:

  • Added WeightNorm normalization layer.
  • Added Recurrence layer, turning a recurrent layer into a layer processing the entire sequence at once.

v0.15.0 (5 December 2024)

This release includes two breaking changes:

  • The recurrent layers have been thoroughly revised. See below and read the documentation for details.
  • Flux now defines and exports its own gradient function. Consequently, using gradient in an unqualified manner (e.g., after using Flux, Zygote) could result in an ambiguity error.

The most significant updates and deprecations are as follows:

  • Recurrent layers have undergone a complete redesign in PR 2500.
    • RNNCell, LSTMCell, and GRUCell are now exported and provide functionality for single time-step processing: rnncell(x_t, h_t) -> h_{t+1}.
    • RNN, LSTM, and GRU no longer store the hidden state internally, it has to be explicitely passed to the layer. Moreover, they now process entire sequences at once, rather than one element at a time: rnn(x, h) -> h′.
    • The Recur wrapper has been deprecated and removed.
    • The reset! function has also been removed; state management is now entirely up to the user.
  • The Flux.Optimise module has been deprecated in favor of the Optimisers.jl package. Now Flux re-exports the optimisers from Optimisers.jl. Most users will be uneffected by this change. The module is still available for now, but will be removed in a future release.
  • Most Flux layers will re-use memory via NNlib.bias_act!, when possible.
  • Further support for Enzyme.jl, via methods of Flux.gradient(loss, Duplicated(model)). Flux now owns & exports gradient and withgradient, but without Duplicated this still defaults to calling Zygote.jl.
  • Flux.params has been deprecated. Use Zygote's explicit differentiation instead, gradient(m -> loss(m, x, y), model), or use Flux.trainables(model) to get the trainable parameters.
  • Flux now requires Functors.jl v0.5. This new release of Functors assumes all types to be functors by default. Therefore, applying Flux.@layer or Functors.@functor to a type is no longer strictly necessary for Flux's models. However, it is still recommended to use @layer Model for additional functionality like pretty printing.
  • @layer Modelnow behaves the same as @layer :expand Model, which means that the model is expanded into its sublayers (if there are any) when printed. To force compact printing, use @layer :noexpand Model.

v0.14.22

v0.14.18

v0.14.17

v0.14.13

  • New macro Flux.@layer which should be used in place of @functor. This also adds show methods for pretty printing.

... (truncated)

Commits

Updates OrdinaryDiffEq to 6.103.0

Release notes

Sourced from OrdinaryDiffEq's releases.

v6.103.0

OrdinaryDiffEq v6.103.0

Diff since v6.102.1

Merged pull requests:

Closed issues:

  • Efficient implementation of Gauss Collocation (#1004)
  • Standardize fields in AbstractDiffEqInterpolation (#2750)
  • Big slowdown and type instabilities of AD through ODE solver (#2837)
  • Automated linearization of ODEProblems with Linearize (#2874)
  • Example in OrdinaryDiffEqLinear documentation does not run (#2877)
  • using print callback saves solution vector (even when save_everystep=false) (#2882)
  • CI tests fail due to precompilation errors in OrdinaryDiffEq.jl et co (#2887)
Commits
  • c46429d Bump version from 6.102.1 to 6.103.0
  • 01f6703 Update OrdinaryDiffEq.jl
  • 701061a Merge pull request #2896 from KeshavVenkatesh/rkv76iia_3
  • 3e7b6d6 Removing mismatched tableaus
  • 8086a25 Merge pull request #2878 from KeshavVenkatesh/rkv76iia
  • 631d34d Update lib/OrdinaryDiffEqVerner/test/ode_verner_tests.jl
  • 8bbbe55 Update Project.toml
  • 748393b Update lib/OrdinaryDiffEqVerner/test/ode_verner_tests.jl
  • fad6914 Update lib/OrdinaryDiffEqVerner/test/ode_verner_tests.jl
  • 6f7f733 Update lib/OrdinaryDiffEqVerner/test/ode_verner_tests.jl
  • Additional commits viewable in compare view

Updates Plots to 1.41.2

Release notes

Sourced from Plots's releases.

v1.41.2

Plots v1.41.2

Diff since v1.41.1

Merged pull requests:

Closed issues:

  • WARNING: importing deprecated binding Colors.RGB1 into Plots. (#4780)
  • Support for PlotlyKaleido@2 (#4919)
  • Julia 1.10.2 fails when trying to add or use Plots issuing Pkg.add("Plots") or using Plots (#4921)
  • Reproducible output with PGFPlotsX backend (#4927)
  • [BUG] Precompile fails in Julia 1.10.3: Buffer overflow (#4935)
  • Failed to precompile Plots on Julia v1.10.3 (#4939)
  • upright Greek letters (like \upmu from upgreek latex package) (#5193)
  • grid and layout are not in Plots.RecipesBase (#5198)
Changelog

Sourced from Plots's changelog.

Plots.jl NEWS

Breaking changes

v2

  • deprecated backends pgfplots and pyplot removed
  • deprecated keyword orientation removed
  • backends are extensions now so the backend code must be explicitly loaded using import with the backend package, e.g. 
    using Plots
import GR # loads backend code

  • Types are no longer part of the Plots API this affects
    • Shape, which is now shape
  • The default label is now :none, use :auto to restore the previous behaviour
  • UnitfulExt changes:
    • The P_str macro is no longer provided as API. The intended goal was simply to not put units on axis labels which were "protected strings". To achieve this now, pass unitformat=:nounit.
    • The axis option unitformat=:none, unitformat=nothing, and unitformat=false previously printed the axis guide as string(label, " ", unit). That behavior is now moved to unitformat=:space, and :none, nothing, and false print the axis guide without units.

notes on release changes, ongoing development, and future planned work

NOTE: this file is deprecated, see the TagBot auto-generated changelogs instead

0.28.3

  • support generalized array interface
  • save to pdf, svg and eps in plotlyjs
  • fix for clims in line_z
  • optimize heatmap logic in gr

0.26.3

  • fix vline with dates
  • fix PyPlot logscale bug
  • avoid annotation clipping for PyPlot
  • allow plotting of Any vectors and 3D plotting again in convertToAnyVector
  • specify legend title font in GR and PyPlot
  • delete pushtomaster.sh
  • use === nothing

0.26.2

  • improve empty animation build error

... (truncated)

Commits
  • 342b327 Plots 1.41.2 [skip ci]
  • 104a8f2 gr: change default print logic
  • 9f9c023 gr: improve print logic
  • 54cb7ed backport: PR 5192 : clarify order of bounds
  • 30da65f 1.41.1 [skip ci]
  • 075862c Drop UnitfulLatexify as a dependency for v1 (#5174)
  • edd52c5 Plots 1.41.0 [skip ci]
  • e0e4a1e Up minimum compat for v1 to 1.10 (current LTS), test "min" and "lts" on CI (#...
  • 8d8965d Plots 1.40.20 [skip ci]
  • abb9ecc Fix handling of vector attributes in plotly code (#5175)
  • Additional commits viewable in compare view

Updates ModelingToolkit to 10.30.0

Release notes

Sourced from ModelingToolkit's releases.

v10.30.0

ModelingToolkit v10.30.0

Diff since v10.29.0

Merged pull requests:

Closed issues:

  • JuMP/InfiniteOpt dynamic optimization interface issues with parameter estimation (#3939)
Changelog

Sourced from ModelingToolkit's changelog.

ModelingToolkit v10 Release Notes

Callbacks

Callback semantics have changed.

  • There is a new Pre operator that is used to specify which values are before the callback. For example, the affect A ~ A + 1 should now be written as A ~ Pre(A) + 1. This is required to be specified - A ~ A + 1 will now be interpreted as an equation to be satisfied after the callback (and will thus error since it is unsatisfiable).

  • All parameters that are changed by a callback must be declared as discrete parameters to the callback constructor, using the discrete_parameters keyword argument.

event = SymbolicDiscreteCallback(
    [t == 1] => [p ~ Pre(p) + 1], discrete_parameters = [p])

New mtkcompile and @mtkcompile

structural_simplify is now renamed to mtkcompile. @mtkbuild is renamed to @mtkcompile. Their functionality remains the same. However, instead of a second positional argument structural_simplify(sys, (inputs, outputs)) the inputs and outputs should be specified via keyword arguments as mtkcompile(sys; inputs, outputs, disturbance_inputs).

Reduce reliance on metadata in mtkcompile

Previously, mtkcompile (formerly structural_simplify) used to rely on the metadata of symbolic variables to identify variables/parameters/brownians. This was regardless of what the system expected the variable to be. Now, it respects the information in the system.

Unified System type

There is now a single common System type for all types of models except PDEs, for which PDESystem still exists. It follows the same syntax as ODESystem and NonlinearSystem did. System(equations, t[, vars, pars]) will construct a time-dependent system. System(equations[, vars, pars]) will construct a time-independent system. Refer to the docstring for System for further information.

Utility constructors are defined for:

  • NonlinearSystem(sys) to convert a time-dependent system to a time-independent one for its steady state.
  • SDESystem(sys, noise_eqs) to add noise to a system
  • JumpSystem(jumps, ...) to define a system with jumps. Note that normal equations can also be passed to jumps.
  • OptimizationSystem(cost, ...) to define a system for optimization.

All problem constructors validate that the system matches the expected structure for

... (truncated)

Commits
  • 5a49e93 Merge pull request #4035 from SciML/as/bump-version-1
  • bbc6c15 build: bump minor version
  • e8ff564 Merge pull request #4017 from SebastianM-C/smc/dynopt
  • ed73524 Merge pull request #4033 from SciML/distinputs
  • 7d99618 extend from the correct package
  • 90d2f8c Merge pull request #4032 from SciML/dependabot/github_actions/actions/checkout-6
  • ee4dbf3 Merge pull request #4034 from SciML/fix_hybrid_jump_test_bug
  • 074b85e Fix test bug for hybrid jump tests
  • 111ec0e increase flexibility in disturbance-argument codegen
  • 58388bd build(deps): bump actions/checkout from 4 to 6
  • Additional commits viewable in compare view

Updates DataInterpolations to 8.8.0

Release notes

Sourced from DataInterpolations's releases.

v8.8.0

DataInterpolations v8.8.0

Diff since v8.7.0

Merged pull requests:

Changelog

Sourced from DataInterpolations's changelog.

DataInterpolations v5 Release Notes

Breaking changes

  • AbstractInterpolation is not a subtype of AbstractVector anymore. This was needed for previous versions of ModelingToolkit.jl to represent splines as vectors.

  • Indexing overloads for AbstractInterpolation and the type parameter associated with it are removed. For example - A is an interpolation object:

    • Doing A[i] will error. Use A.u[i].
    • size(A) will error. Use size(A.u) or size(A.t).

  • Removed deprecated bindings for ZeroSpline which is the same as ConstantInterpolation.

DataInterpolations v6 Release Notes

Breaking changes

  • SciML/DataInterpolations.jl#274 introduced caching of parameters for interpolations (released in v5.3) and also introduced a field safetycopy which was a boolean flag to create a copy of the data as the parameters would be invalid if data is mutated. This was removed in SciML/DataInterpolations.jl#315 to introduce cache_parameters which made it explicit if a user wants to opt in for parameter caching or not.
Commits
  • 9c9e37a Bump version from 8.7.0 to 8.8.0
  • f33dab4 Merge pull request #480 from AayushSabharwal/as/pretty-tables
  • 28256d9 refactor: retain compatibility for PrettyTables@2.4
  • 85b6e23 Merge pull request #479 from SciML/dependabot/github_actions/actions/checkout-6
  • d8312e2 build(deps): bump actions/checkout from 4 to 6
  • fd2add5 Update Project.toml
  • 0978394 Merge pull request #477 from AayushSabharwal/as/symbolics-v7
  • 0e9903b test: update tests to Symbolics@7
  • 29456a0 feat: update to Symbolics@7
  • 912d889 Merge pull request #474 from SciML/os/bump-version
  • Additional commits viewable in compare view

Updates BlackBoxOptim to 0.6.3

Release notes

Sourced from BlackBoxOptim's releases.

v0.6.3

BlackBoxOptim v0.6.3

Diff since v0.6.2

  • Minor bug fixes

Merged pull requests:

Closed issues:

  • Saving Results (#212)
  • Getting errors/standard deviation from OptimizationResults object (#213)
  • Loading Results (#219)
  • Providing initial solutions to bboptimize does not appear to register the guesses provided (#221)
  • Difficulty Installing BlackBoxOptim on MacOS (#224)
  • Including Powell's derivative-free optimization methods? (#225)
Commits
  • bf1d644 Apparently I had not released version 0.6.3 so went back to that one, also ad...
  • af80b3e Updating version for new release
  • b8bb17b clarified the limitations of the current implementation for setting initial s...
  • f1acbe7 added link to PRIMA package
  • e5792e4 Merge pull request #217 from alyst/github_ci

@dependabot
Bump the all-julia-packages group across 1 directory with 16 updates
1eff80d 
Updates the requirements on [CSV](https://github.com/JuliaData/CSV.jl), [DataDrivenDiffEq](https://github.com/SciML/DataDrivenDiffEq.jl), [DiffEqSensitivity](https://github.com/SciML/DiffEqSensitivity.jl), [BenchmarkTools](https://github.com/JuliaCI/BenchmarkTools.jl), [Optim](https://github.com/JuliaNLSolvers/Optim.jl), [LaTeXStrings](https://github.com/JuliaStrings/LaTeXStrings.jl), [Tracker](https://github.com/FluxML/Tracker.jl), [DiffEqFlux](https://github.com/SciML/DiffEqFlux.jl), [Flux](https://github.com/FluxML/Flux.jl), [OrdinaryDiffEq](https://github.com/SciML/OrdinaryDiffEq.jl), [Plots](https://github.com/JuliaPlots/Plots.jl), [ModelingToolkit](https://github.com/SciML/ModelingToolkit.jl), [DataInterpolations](https://github.com/SciML/DataInterpolations.jl), [BlackBoxOptim](https://github.com/robertfeldt/BlackBoxOptim.jl), [Zygote](https://github.com/FluxML/Zygote.jl) and [DataFrames](https://github.com/JuliaData/DataFrames.jl) to permit the latest version.

Updates `CSV` to 0.10.15
- [Release notes](https://github.com/JuliaData/CSV.jl/releases)
- [Commits](JuliaData/CSV.jl@v0.0.1...v0.10.15)

Updates `DataDrivenDiffEq` to 1.10.0
- [Release notes](https://github.com/SciML/DataDrivenDiffEq.jl/releases)
- [Commits](SciML/DataDrivenDiffEq.jl@v0.1.0...v1.10.0)

Updates `DiffEqSensitivity` to 6.79.0
- [Release notes](https://github.com/SciML/DiffEqSensitivity.jl/releases)
- [Commits](SciML/SciMLSensitivity.jl@v0.0.1...v6.79.0)

Updates `BenchmarkTools` to 1.6.3
- [Release notes](https://github.com/JuliaCI/BenchmarkTools.jl/releases)
- [Commits](JuliaCI/BenchmarkTools.jl@v0.0.1...v1.6.3)

Updates `Optim` to 1.13.3
- [Release notes](https://github.com/JuliaNLSolvers/Optim.jl/releases)
- [Changelog](https://github.com/JuliaNLSolvers/Optim.jl/blob/master/NEWS.md)
- [Commits](JuliaNLSolvers/Optim.jl@v0.2.0...v1.13.3)

Updates `LaTeXStrings` to 1.4.0
- [Release notes](https://github.com/JuliaStrings/LaTeXStrings.jl/releases)
- [Commits](JuliaStrings/LaTeXStrings.jl@v0.1.0...v1.4.0)

Updates `Tracker` to 0.2.38
- [Release notes](https://github.com/FluxML/Tracker.jl/releases)
- [Commits](FluxML/Tracker.jl@v0.1.0...v0.2.38)

Updates `DiffEqFlux` to 4.5.0
- [Release notes](https://github.com/SciML/DiffEqFlux.jl/releases)
- [Commits](https://github.com/SciML/DiffEqFlux.jl/commits)

Updates `Flux` to 0.16.5
- [Release notes](https://github.com/FluxML/Flux.jl/releases)
- [Changelog](https://github.com/FluxML/Flux.jl/blob/master/NEWS.md)
- [Commits](FluxML/Flux.jl@v0.1.0...v0.16.5)

Updates `OrdinaryDiffEq` to 6.103.0
- [Release notes](https://github.com/SciML/OrdinaryDiffEq.jl/releases)
- [Commits](SciML/OrdinaryDiffEq.jl@v0.0.1...v6.103.0)

Updates `Plots` to 1.41.2
- [Release notes](https://github.com/JuliaPlots/Plots.jl/releases)
- [Changelog](https://github.com/JuliaPlots/Plots.jl/blob/v2/NEWS.md)
- [Commits](JuliaPlots/Plots.jl@v0.0.1...v1.41.2)

Updates `ModelingToolkit` to 10.30.0
- [Release notes](https://github.com/SciML/ModelingToolkit.jl/releases)
- [Changelog](https://github.com/SciML/ModelingToolkit.jl/blob/master/NEWS.md)
- [Commits](SciML/ModelingToolkit.jl@v0.0.1...v10.30.0)

Updates `DataInterpolations` to 8.8.0
- [Release notes](https://github.com/SciML/DataInterpolations.jl/releases)
- [Changelog](https://github.com/SciML/DataInterpolations.jl/blob/master/NEWS.md)
- [Commits](SciML/DataInterpolations.jl@v0.0.1...v8.8.0)

Updates `BlackBoxOptim` to 0.6.3
- [Release notes](https://github.com/robertfeldt/BlackBoxOptim.jl/releases)
- [Commits](robertfeldt/BlackBoxOptim.jl@v0.0.1...v0.6.3)

Updates `Zygote` to 0.7.10
- [Release notes](https://github.com/FluxML/Zygote.jl/releases)
- [Commits](FluxML/Zygote.jl@v0.2.0...v0.7.10)

Updates `DataFrames` to 1.8.1
- [Release notes](https://github.com/JuliaData/DataFrames.jl/releases)
- [Changelog](https://github.com/JuliaData/DataFrames.jl/blob/main/NEWS.md)
- [Commits](JuliaData/DataFrames.jl@v0.0.0...v1.8.1)

---
updated-dependencies:
- dependency-name: CSV
  dependency-version: 0.10.15
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: DataDrivenDiffEq
  dependency-version: 1.10.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: DiffEqSensitivity
  dependency-version: 6.79.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: BenchmarkTools
  dependency-version: 1.6.3
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: Optim
  dependency-version: 1.13.3
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: LaTeXStrings
  dependency-version: 1.4.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: Tracker
  dependency-version: 0.2.38
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: DiffEqFlux
  dependency-version: 4.5.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: Flux
  dependency-version: 0.16.5
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: OrdinaryDiffEq
  dependency-version: 6.103.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: Plots
  dependency-version: 1.41.2
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: ModelingToolkit
  dependency-version: 10.30.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: DataInterpolations
  dependency-version: 8.8.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: BlackBoxOptim
  dependency-version: 0.6.3
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: Zygote
  dependency-version: 0.7.10
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: DataFrames
  dependency-version: 1.8.1
  dependency-type: direct:production
  dependency-group: all-julia-packages
...

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file julia Pull requests that update julia code labels Dec 3, 2025
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