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DynamicalSystemsDocs.jl
PublicDynamicalSystemsBase.jl
Public templateDefinition of dynamical systems and integrators for DynamicalSystems.jlCriticalTransitions.jl
PublicA Julia package for critical transitions in dynamical systems with time-dependent forcingNetworkDynamics.jl
PublicJulia package for simulating Dynamics on Networks- Interface and algorithms for finding periodic orbits (stable or unstable) in dynamical systems
LightSumTypes.jl
PublicEasy-to-use sum types in JuliaAssociations.jl
PublicAlgorithms for quantifying associations, independence testing and causal inference from data.- Agent-based modeling framework in Julia
ConcurrentSim.jl
PublicA discrete event process oriented simulation framework written in Julia. Formerly named SimJulia!StreamSampling.jl
PublicSampling methods for data streamsAttractors.jl
PublicFind attractors (and their basins) of dynamical systems. Perform global continuation. Study global stability (a.k.a. non-local, or resilience). Also tipping points functionality.ComplexityMeasures.jl
PublicEstimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systemsDynamicalSystems.jl
PublicAward winning software library for nonlinear dynamics and nonlinear timeseries analysisResumableFunctions.jl
PublicC# style generators a.k.a. semi-coroutines for Julia.DrWatson.jl
PublicThe perfect sidekick to your scientific inquiriesFractalDimensions.jl
PublicEstimating the fractal dimension of timeseries or multidimensional datasets- Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection
HybridStructs.jl
PublicDelayEmbeddings.jl
PublicDelay coordinates embeddings and optimizing themChaosTools.jl
PublicRecurrenceAnalysis.jl
PublicRecurrence Quantification Analysis in JuliaTimeseriesSurrogates.jl
PublicA Julia package for generating timeseries surrogatesJuliaDynamics
PublicAgentsExampleZoo.jl
PublicStateSpaceSets.jl
PublicABMFrameworksComparison
PublicProcessBasedModelling.jl
PublicBuild equations with informative errors for missing variables by explicitly assigning a process to each variable of the equations