Dependency Packages
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Modia.jl298Modeling and simulation of multidomain engineering systems
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GaussianProcesses.jl298A Julia package for Gaussian Processes
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Manifolds.jl297Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.
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RCall.jl281Call R from Julia
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Molly.jl281Molecular simulation in Julia
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Surrogates.jl281Surrogate modeling and optimization for scientific machine learning (SciML)
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DiffEqOperators.jl279Linear operators for discretizations of differential equations and scientific machine learning (SciML)
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LsqFit.jl266Simple curve fitting in Julia
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HypothesisTests.jl258Hypothesis tests for Julia
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SpeedyWeather.jl256The little sister of a big weather forecast model
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Mamba.jl253Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia
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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.
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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.
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DiffEqBase.jl243The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
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MonteCarloMeasurements.jl243Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
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MCMCChain.jl236Types and utility functions for summarizing Markov chain Monte Carlo simulations
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MCMCChains.jl236Types and utility functions for summarizing Markov chain Monte Carlo simulations
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StateSpaceModels.jl235StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
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StatsModels.jl231Specifying, fitting, and evaluating statistical models in Julia
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StatsFuns.jl224Mathematical functions related to statistics.
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BayesNets.jl215Bayesian Networks for Julia
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DiffEqGPU.jl202GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
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Reinforce.jl202Abstractions, algorithms, and utilities for reinforcement learning in Julia
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StochasticDiffEq.jl200Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
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FixedEffectModels.jl197Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables
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Stan.jl197Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
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AdvancedHMC.jl192Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
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AbstractGPs.jl192Abstract types and methods for Gaussian Processes.
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Sundials.jl188Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
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ChaosTools.jl183Tools for the exploration of chaos and nonlinear dynamics
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InfiniteOpt.jl182An intuitive modeling interface for infinite-dimensional optimization problems.
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Hyperopt.jl178Hyperparameter optimization in Julia.
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Caesar.jl173Robust robotic localization and mapping, together with www.NavAbility.io. Reach out to info@navability.io for help.
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ReservoirComputing.jl172Reservoir computing utilities for scientific machine learning (SciML)
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ReachabilityAnalysis.jl170Methods to compute sets of states reachable by dynamical systems
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Integrals.jl166A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
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BAT.jl164A Bayesian Analysis Toolkit in Julia
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InteractiveChaos.jl162Fast, general-purpose interactive applications for complex systems
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Bijectors.jl160Implementation of normalising flows and constrained random variable transformations
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HomotopyContinuation.jl159A Julia package for solving systems of polynomials via homotopy continuation.
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