Julia

• Gens Julia, my Julia resource list adapted from Julia.jl.
• Julia Package Setup Tutorial
• Julia packages (JuliaHub)
• Julia discourse forum
• Julia forem : Dev.to interface
• Solving PDEs in parallel on GPUs with Julia : a Julia course
• Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications
• Modern Julia Workflows

My Julia stack

Package development

• invenia/PkgTemplates.jl : templates to create new Julia packages.
• timholy/Revise.jl : reducing the need to restart when you make changes to code.
• Roger-luo/FromFile.jl : including other files without duplication.
• JuliaDocs/Documenter.jl : generating package documentation.
• wookay/Jive.jl : unit testing in parallel.

Publishing code examples

• fredrikekre/Literate.jl : converting _literated _jl files to Markdown (md) or Jupyter notebooks (ipynb).
• stevengj/NBInclude.jl : converting Jupyter notebooks (ipynb) to literated jl files by using nbexport("myfile.jl", "myfile.ipynb").

Optimization

• baggepinnen/Hyperopt.jl : Hyperparameter optimization for every cost function with multiprocessing and multithreading support.
• SciML/Optimization.jl : A unified interface for various optimizers
  • OptimizationBBO for black-box optimization from robertfeldt/BlackBoxOptim.jl
  • OptimizationEvolutionary for genetic algorithm from wildart/Evolutionary.jl
  • OptimizationOptimJL for optimization methods from JuliaNLSolvers/Optim.jl
  • OptimizationMOI for optimization methods from jump-dev/MathOptInterface.jl
  • etc.

Curve fitting

• pjabardo/CurveFit.jl
• JuliaNLSolvers/LsqFit.jl
• SciML/Optimization.jl

Modeling and simulation

• SciML/DifferentialEquations.jl : solving differential equations.
• SciML/ModelingToolkit.jl : a symbolic-numeric modeling framework based on JuliaSymbolics/Symbolics.jl, a computer algebra system (CAS) for symbolic calculations.
• SciML/Catalyst.jl : a domain-specific language (DSL) for chemical reaction networks based on SciML/ModelingToolkit.jl.
• JuliaDynamics/Agents.jl : agent-based modeling (ABM).

Universal differential equations (UDEs)

• SciML/DiffEqFlux.jl : solving differential equations with neural networks.
• SciML/NeuralPDE.jl : Physics-Informed Neural Networks (PINNs).

Partial differential equations (PDEs)

• SciML/MethodOfLines.jl : finite difference method (FDM).
• Ferrite-FEM/Ferrite.jl : finite element method (FEM).
• gridap/Gridap.jl : grid-based approximation of PDEs with an expressive API.
• trixi-framework/Trixi.jl : hyperbolic PDE solver.
• j-fu/VoronoiFVM.jl : finite volume method (FVM).

Model analysis

• bifurcationkit/BifurcationKit.jl : bifurcation analysis.

Probability and Statistics

• JuliaStats/StatsBase.jl : statistics-related functions.
• JuliaStats/GLM.jl : Generalized linear models (GLMs).

Handy tools

• JuliaMath/Interpolations.jl : continuous interpolation of discrete datasets.
• SciML/DataInterpolations.jl : A library of data interpolation and smoothing functions.
• korsbo/Latexify.jl : convert julia objects to LaTeX equations.

Arrays

• JuliaArrays/LazyGrids.jl : multi-dimensional grids.
• SciML/LabelledArrays.jl : a label for each element in a array.
• jonniedie/ComponentArrays.jl : arrays with arbitrarily nested named components.

Visualization

• JuliaPlots/Plots.jl : a unified interface for various visualization libraries.
• JuliaPy/PyPlot.jl : matplotlib.pyplot in Julia.
• stevengj/PythonPlot.jl : matplotlib.pyplot in Julia, using cjdoris/PythonCall.jl for python libraries.
• MakieOrg/Makie.jl : native Julia visualizations with GPU acceleration and an interactive interface.

Concurrency

• JuliaFolds/Folds.jl : a unified interface for sequential, threaded, and distributed fold.
• tkf/ThreadsX.jl : multithreaded base functions.

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