Top 50 Trending Julia Projects


OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE) and differentialalgebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)







NeuralPDE.jl
PhysicsInformed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation


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

GeoStats.jl
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia






DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

ModelingToolkit.jl
An 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




JuMP.jl
Modeling language for Mathematical Optimization (linear, mixedinteger, conic, semidefinite, nonlinear)





DiffEqFlux.jl
Prebuilt implicit layer architectures with O(1) backprop, GPUs, and stiff+nonstiff DE solvers, demonstrating scientific machine learning (SciML) and physicsinformed machine learning methods






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










DifferentialEquations.jl
Multilanguage suite for highperformance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differentialalgebraic equations (DAEs), and more in Julia.






Index
What are some of the trending opensource Julia projects? This list will help you: