Packages

Big Frameworks¶

• DifferentialEquations.jl : high-performance solvers for differential equations.

• ModelingToolkit.jl : a modeling framework for high-performance symbolic-numeric computation in scientific computing and scientific machine learning

• Catalyst.jl : a symbolic modeling package for analysis and high performance simulation of chemical reaction networks.

• Optimization.jl : Mathematical Optimization in Julia with a unified interface.

• Agents.jl : Agent-based modeling framework in Julia.

Parameter estimation¶

• DiffEqParamEstim.jl : Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions (build_loss_objective()).

• PEtab.jl : Create parameter estimation problems for ODE models.

Arrays¶

• RecursiveArrayTools.jl : Handling nesting arrays (arrays of arrays).

• ComponentArrays.jl : Arrays with arbitrarily nested named components.

File IO¶

• DataFrames.jl : In-memory tabular data in Julia.

• JLD2.jl : Saves and loads Julia objects in the HDF5 format.

• CSV.jl : Saves and load data in the csv format.

Misc¶

• Symbolics.jl : A symbolic calculation package.

• NonlinearSolve.jl : Solving nonlinear qquations.