Dependency Packages
-
StatsPlots.jl437Statistical plotting recipes for Plots.jl
-
DFTK.jl426Density-functional toolkit
-
SpeedyWeather.jl425Play atmospheric modelling like it's LEGO.
-
AlgebraOfGraphics.jl421Combine ingredients for a plot
-
PlotlyJS.jl419Julia library for plotting with plotly.js
-
Soss.jl414Probabilistic programming via source rewriting
-
DataDrivenDiffEq.jl405Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
-
IterativeSolvers.jl401Iterative algorithms for solving linear systems, eigensystems, and singular value problems
-
Meshes.jl389Computational geometry in Julia
-
Molly.jl389Molecular simulation in Julia
-
BinaryBuilder.jl387Binary Dependency Builder for Julia
-
StatisticalRethinking.jl386Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
-
MeasureTheory.jl386"Distributions" that might not add to one.
-
DSP.jl379Filter design, periodograms, window functions, and other digital signal processing functionality
-
TimeSeries.jl353Time series toolkit for Julia
-
GeometricFlux.jl348Geometric Deep Learning for Flux
-
ProfileView.jl347Visualization of Julia profiling data
-
Stheno.jl339Probabilistic Programming with Gaussian processes in Julia
-
Surrogates.jl329Surrogate modeling and optimization for scientific machine learning (SciML)
-
TrajectoryOptimization.jl329A fast trajectory optimization library written in Julia
-
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.
-
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.
-
Modia.jl321Modeling and simulation of multidomain engineering systems
-
Manopt.jl314🏔️Manopt. jl – Optimization on Manifolds in Julia
-
DiffEqBase.jl309The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
-
GaussianProcesses.jl308A Julia package for Gaussian Processes
-
Dojo.jl307A differentiable physics engine for robotics
-
PowerSystems.jl306Data structures in Julia to enable power systems analysis. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
-
Polynomials.jl303Polynomial manipulations in Julia
-
BifurcationKit.jl301A Julia package to perform Bifurcation Analysis
-
SDDP.jl295A JuMP extension for Stochastic Dual Dynamic Programming
-
RigidBodyDynamics.jl287Julia implementation of various rigid body dynamics and kinematics algorithms
-
DiffEqOperators.jl285Linear operators for discretizations of differential equations and scientific machine learning (SciML)
-
DiffEqGPU.jl283GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
-
PowerSimulations.jl279Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
-
StateSpaceModels.jl271StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
-
DimensionalData.jl271Named dimensions and indexing for julia arrays and other data
-
SymPy.jl268Julia interface to SymPy via PyCall
-
KernelFunctions.jl267Julia package for kernel functions for machine learning
-
GenX.jl267GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu
Loading more...