Quantum dynamics simulation environment

Interactive D3 plots within Pluto!

TrixiParticles.jl: Particle-based multiphysics simulations in Julia

A scaffolding for building inviscid flow models

Concise and friendly interfaces for defining MDP and POMDP models for use with POMDPs.jl solvers

Differential equations on manifolds

A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia

A unified interface for simulations of the Bio-Energetic model on food webs

A component library based on ModelingToolkit

ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.

Unitary and Lindbladian evolution in Julia

Package for automotive simulation in julia

Create Julia packages from Notebooks

Optimization framework for nonlinear, gradient-based constrained, sparse optimization problems.

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Plot library for Pluto notebooks based on plotly.js for 1D data and vtk.js (thus using WebGL) for 2/3D data.

Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices

Differential equation problem specifications and scientific machine learning for common financial models

Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem

Use JavaScript Promises syntax in Julia! (alpha)

Tools for the Simulation and Execution of Quantum Annealing Algorithms

Builds conductance based neural networks iteratively, from ion channels and synapses

KeywordCalls makes it easy to define a method taking a NamedTuple considered as a an unordered collection of bound variables. The required redirection is done at compile time, so there's no runtime overhead.

Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction

Signal logging and scoping for DifferentialEquations.jl simulations.

A tool to solve optimal control problem

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Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)

Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

Flux reconstruction method for advection-diffusion type physics

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Simple differential equation solvers in native Julia for scientific machine learning (SciML)

Finite Element Module for Julia that focusses on gradient-robust discretisations and multiphysics problems

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

A package designed for simulating biological dynamics and control.

Throw stuff

Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning organization

Piecewise Deterministic Markov Processes in Julia

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

Common interface bindings for the MATLAB ODE solvers via MATLAB.jl for the SciML Scientific Machine Learning ecosystem