Dependency Packages
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ClimateMachine.jl451Climate Machine: an Earth System Model that automatically learns from data
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StatsPlots.jl437Statistical plotting recipes for Plots.jl
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DFTK.jl426Density-functional toolkit
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PlotlyJS.jl419Julia library for plotting with plotly.js
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Soss.jl414Probabilistic programming via source rewriting
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DataDrivenDiffEq.jl405Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
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IterativeSolvers.jl401Iterative algorithms for solving linear systems, eigensystems, and singular value problems
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Meshes.jl389Computational geometry in Julia
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Molly.jl389Molecular simulation in Julia
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BinaryBuilder.jl387Binary Dependency Builder for Julia
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MeasureTheory.jl386"Distributions" that might not add to one.
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StatisticalRethinking.jl386Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
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DSP.jl379Filter design, periodograms, window functions, and other digital signal processing functionality
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TextAnalysis.jl373Julia package for text analysis
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AutoMLPipeline.jl355A package that makes it trivial to create and evaluate machine learning pipeline architectures.
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GR.jl354Plotting for Julia based on GR, a framework for visualisation applications
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TimeSeries.jl353Time series toolkit for Julia
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DecisionTree.jl351Julia implementation of Decision Tree (CART) and Random Forest algorithms
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GeometricFlux.jl348Geometric Deep Learning for Flux
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ProfileView.jl347Visualization of Julia profiling data
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Stheno.jl339Probabilistic Programming with Gaussian processes in Julia
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SciMLSensitivity.jl329A 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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Surrogates.jl329Surrogate modeling and optimization for scientific machine learning (SciML)
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TrajectoryOptimization.jl329A fast trajectory optimization library written in Julia
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DiffEqSensitivity.jl329A 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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Metalhead.jl328Computer vision models for Flux
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Modia.jl321Modeling and simulation of multidomain engineering systems
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DiffEqBase.jl309The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
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GaussianProcesses.jl308A Julia package for Gaussian Processes
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Dojo.jl307A differentiable physics engine for robotics
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PowerSystems.jl306Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
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Polynomials.jl303Polynomial manipulations in Julia
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BifurcationKit.jl301A Julia package to perform Bifurcation Analysis
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SDDP.jl295A JuMP extension for Stochastic Dual Dynamic Programming
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RigidBodyDynamics.jl287Julia implementation of various rigid body dynamics and kinematics algorithms
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DiffEqOperators.jl285Linear operators for discretizations of differential equations and scientific machine learning (SciML)
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DiffEqGPU.jl283GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
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PowerSimulations.jl279Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
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DimensionalData.jl271Named dimensions and indexing for julia arrays and other data
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StateSpaceModels.jl271StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
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