Dependency Packages
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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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MultivariateStats.jl375A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
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TextAnalysis.jl373Julia package for text analysis
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Manifolds.jl368Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.
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Blink.jl360Web-based GUIs for Julia
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AutoMLPipeline.jl355A package that makes it trivial to create and evaluate machine learning pipeline architectures.
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Clustering.jl353A Julia package for data clustering
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TimeSeries.jl353Time series toolkit for Julia
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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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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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TrajectoryOptimization.jl329A fast trajectory optimization library written in Julia
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Surrogates.jl329Surrogate modeling and optimization for scientific machine learning (SciML)
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Metalhead.jl328Computer vision models for Flux
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Stipple.jl321The reactive UI library for interactive data applications with pure Julia.
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Modia.jl321Modeling and simulation of multidomain engineering systems
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StructArrays.jl319Efficient implementation of struct arrays in Julia
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SciMLBenchmarks.jl318Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
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RCall.jl318Call R from Julia
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LsqFit.jl313Simple curve fitting in Julia
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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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PGFPlotsX.jl301Plots in Julia using the PGFPlots LaTeX package
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Tables.jl299An interface for tables in Julia
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HypothesisTests.jl296Hypothesis tests for Julia
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SDDP.jl295A JuMP extension for Stochastic Dual Dynamic Programming
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XGBoost.jl288XGBoost Julia Package
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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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