JuliaDynamics's Projects
JuliaDynamics .github
Benchmarks and comparisons of leading ABM frameworks
Agent-based modeling framework in Julia
Examples written with Agents.jl
Plotting functionality for Agents.jl - Agent-Based Modelling in Julia
Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes
Algorithms for quantifying associations, independence testing and causal inference from data.
Find attractors of dynamical systems, their basins, and continue them across parameters. Study global stability (a.k.a. non-local, or resilience). Also tipping points functionality.
CaosDB interface for Julia
Base functionality used throughout the CausalityTools ecosystem
Metropolis-Hastings for sampling rare states of chaotic systems
Code repository for an educational video on deterministic chaos
Tools for the exploration of chaos and nonlinear dynamics
Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems
ConceptualClimateModels.jl is a Julia package for creating and analysing conceptual models of climate, such as energy balance models, glaciation cycle models, or climate tipping models.
A discrete event process oriented simulation framework written in Julia. Formerly named SimJulia!
A Julia package for critical transitions in dynamical systems with time-dependent forcing
A Julia package for computing cross mapping causality measures between time series.
Delay coordinates embeddings and optimizing them
Discrete event generation and simulation in Julia
Documentation theme for the packages of JuliaDynamics
The perfect sidekick to your scientific inquiries
An easy-to-use, modular, extendable and absurdly fast Julia package for dynamical billiards in two dimensions.
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
Definition of dynamical systems and integrators for DynamicalSystems.jl
Ecosystem-wide docbuild for the DynamicalSystems.jl project using MultiDocumenter.jl
Easy-to-use sum types in Julia
wip
Estimating the fractal dimension of timeseries or multidimensional datasets