Dependency Packages
-
DifferentialEquations.jl2503Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
-
DSGE.jl798Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
-
DiffEqFlux.jl771Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
-
NeuralNetDiffEq.jl755Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
-
NeuralPDE.jl755Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
-
DynamicalSystems.jl725Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
-
DiffEqTutorials.jl694Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
-
QuantumOptics.jl459Library for the numerical simulation of closed as well as open quantum systems.
-
ControlSystems.jl430A Control Systems Toolbox for Julia
-
OrdinaryDiffEq.jl425High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
-
Modia.jl298Modeling and simulation of multidomain engineering systems
-
SciMLSensitivity.jl248A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
-
DiffEqSensitivity.jl248A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
-
StochasticDiffEq.jl200Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
-
ChaosTools.jl183Tools for the exploration of chaos and nonlinear dynamics
-
ReachabilityAnalysis.jl170Methods to compute sets of states reachable by dynamical systems
-
TuringModels.jl153Implementations of the models from the Statistical Rethinking book with Turing.jl
-
MethodOfLines.jl118Automatic Finite Difference PDE solving with Julia SciML
-
NBodySimulator.jl115A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
-
FunctionalModels.jl111Equation-based modeling and simulations in Julia
-
ControlSystemIdentification.jl108System Identification toolbox for LTI systems, compatible with ControlSystems.jl
-
CausalityTools.jl104Algorithms for detecting associations, dynamical influences and causal inference from data.
-
Causal.jl102Causal.jl - A modeling and simulation framework adopting causal modeling approach.
-
ODEFilters.jl100Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
-
ProbNumDiffEq.jl100Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
-
Mads.jl94MADS: Model Analysis & Decision Support
-
LowLevelParticleFilters.jl90State estimation, smoothing and parameter estimation using Kalman and particle filters.
-
PowerDynamics.jl88Package for dynamical modeling of power grids
-
TaylorIntegration.jl84ODE integration using Taylor's method, and more, in Julia
-
ViscousFlow.jl84A framework for simulating viscous incompressible flows about arbitrary body shapes.
-
ValidatedNumerics.jl81Rigorous floating-point calculations with interval arithmetic in Julia
-
SemanticModels.jl76A julia package for representing and manipulating model semantics
-
EasyModelAnalysis.jl74High level functions for analyzing the output of simulations
-
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 high-performance simulations of astrodynamical models.
-
RigidBodySim.jl68Simulation and visualization of articulated rigid body systems in Julia
-
Modia3D.jl64Modeling and Simulation of 3D systems
-
MultiScaleArrays.jl64A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
-
IonSim.jl62A simple tool for simulating trapped ion systems
-
FundamentalsNumericalComputation.jl60Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.
-
FMI.jl59FMI.jl is a free-to-use software library for the Julia programming language which integrates FMI (fmi-standard.org): load or create, parameterize, differentiate and simulate FMUs seamlessly inside the Julia programming language!
Loading more...