Dependency Packages
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VegaLite.jl259Julia bindings to Vega-Lite
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HypothesisTests.jl258Hypothesis tests for 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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BifurcationKit.jl240A Julia package to perform Bifurcation Analysis
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MCMCChains.jl236Types and utility functions for summarizing Markov chain Monte Carlo simulations
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ComponentArrays.jl231Arrays with arbitrarily nested named components.
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AMDGPU.jl228AMD GPU (ROCm) programming in Julia
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DynamicGrids.jl211Grid-based simulations in Julia
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MLDatasets.jl204Utility package for accessing common Machine Learning datasets in Julia
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DiffEqGPU.jl202GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
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SparseDiffTools.jl201Fast jacobian computation through sparsity exploitation and matrix coloring
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StochasticDiffEq.jl200Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
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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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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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LinearSolve.jl178LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
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Hyperopt.jl178Hyperparameter optimization in Julia.
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ReachabilityAnalysis.jl170Methods to compute sets of states reachable by dynamical systems
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Symata.jl168Language for symbolic mathematics
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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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Rasters.jl161Raster manipulation for the Julia language
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Bijectors.jl160Implementation of normalising flows and constrained random variable transformations
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Omega.jl155Causal, Higher-Order, Probabilistic Programming
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GraphNeuralNetworks.jl153Graph Neural Networks in Julia
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TuringModels.jl153Implementations of the models from the Statistical Rethinking book with Turing.jl
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NeuralOperators.jl151DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
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Queryverse.jl142A meta package for data science in julia
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SeaPearl.jl141Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.
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RayTracer.jl141Differentiable RayTracing in Julia
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TopOpt.jl141A beautifully Julian topology optimization package.
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ForneyLab.jl135Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
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VoronoiFVM.jl134Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method
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AugmentedGaussianProcesses.jl132Gaussian Process package based on data augmentation, sparsity and natural gradients
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StatsKit.jl131Convenience meta-package to load essential packages for statistics
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Clapeyron.jl129Clapeyron provides a framework for the development and use of fluid-thermodynamic models, including SAFT, cubic, activity, multi-parameter, and COSMO-SAC.
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DataVoyager.jl119Julia wrapper for the Voyager data exploration tool
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