Dependency Packages

StaticCompiler.jl395Compiles Julia code to a standalone library (experimental)

Trixi.jl363Trixi.jl: Adaptive highorder numerical simulations of hyperbolic PDEs in Julia

Oceananigans.jl781🌊 Julia software for fast, friendly, flexible, oceanflavored fluid dynamics on CPUs and GPUs

CounterfactualExplanations.jl75A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

NeuralOperators.jl151DeepONets, (Fourier) Neural Operators, PhysicsInformed Neural Operators, and more in Julia

OceanBioME.jl7🌊 🦠 🌿 A fast and flexible modelling environment written in Julia for modelling the coupled interactions between ocean biogeochemistry, carbonate chemistry, and physics

SymbolicRegression.jl377Distributed HighPerformance symbolic regression in Julia

ModelingToolkitStandardLibrary.jl76A standard library of components to model the world and beyond

Metal.jl266Metal programming in Julia

Flux.jl4122Relax! Flux is the ML library that doesn't make you tensor

GPUCompiler.jl115Reusable compiler infrastructure for Julia GPU backends.

Optimization.jl512Mathematical Optimization in Julia. Local, global, gradientbased and derivativefree. Linear, Quadratic, Convex, MixedInteger, and Nonlinear Optimization in one simple, fast, and differentiable interface.

MPSKitModels.jl6

ImplicitDifferentiation.jl86Automatic differentiation of implicit functions

Sophon.jl36Neural networks and neural operators for physicsinformed machine learning

MOTIFs.jl0DNA Motif discovery that includes the discovery of flexible (long or gapped) motifs.

SpinGlassEngine.jl1

RobustNeuralNetworks.jl11A Julia package for robust neural networks.

QuantumLattices.jl85Julia package for the construction of quantum lattice systems.

SymbolicNumericIntegration.jl93SymbolicNumericIntegration.jl: SymbolicNumerics for Solving Integrals

Quiqbox.jl24Exploring the computational power of fermionic quantum systems. Ab initio computation and basis set optimization for electronic structure problems.

SymbolicUtils.jl454Expression rewriting and simplification

Symbolics.jl1169A fast and modern CAS for a fast and modern language.

ClimaAtmos.jl43ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

ModelingToolkit.jl1212An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physicsinformed machine learning and automated transformations of differential equations

OrbitalTrajectories.jl74OrbitalTrajectories.jl is a modern orbital trajectory design, optimisation, and analysis library for Julia, providing methods and tools for designing spacecraft orbits and transfers via highperformance simulations of astrodynamical models.

UnitfulAstrodynamics.jl16Astrodynamics with units! Provides common astrodynamics calculations, plotting, and iterative Halo, Kepler, and Lambert solvers.

GeneralAstrodynamics.jl16Astrodynamics with units! Provides common astrodynamics calculations, plotting, and iterative Halo, Kepler, and Lambert solvers.

HighDimPDE.jl60A Julia package that breaks down the curse of dimensionality in solving PDEs.

RayTracer.jl141Differentiable RayTracing in Julia

DiffEqSensitivity.jl248A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimizethendiscretize, discretizethenoptimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

SciMLSensitivity.jl248A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimizethendiscretize, discretizethenoptimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.

DataDrivenDiffEq.jl372Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

NeuralPDE.jl755PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

NeuralNetDiffEq.jl755PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

DiffEqFlux.jl771Universal neural differential equations with O(1) backprop, GPUs, and stiff+nonstiff DE solvers, demonstrating scientific machine learning (SciML) and physicsinformed machine learning methods

LinearOperators.jl134Linear Operators for Julia

Quaternionic.jl15Quaternions for Julia

SpeedyWeather.jl256The little sister of a big weather forecast model

WGPUCompute.jl1Array interface for WGPU
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