Dependency Packages

DuckDB.jl10082DuckDB is an inprocess SQL OLAP Database Management System

Flux.jl4122Relax! Flux is the ML library that doesn't make you tensor

DifferentialEquations.jl2503Multilanguage suite for highperformance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differentialalgebraic equations (DAEs), and more in Julia.

Genie.jl2003π§The highly productive Julia web framework

JuMP.jl1956Modeling language for Mathematical Optimization (linear, mixedinteger, conic, semidefinite, nonlinear)

Gadfly.jl1849Crafty statistical graphics for Julia.

Turing.jl1807Bayesian inference with probabilistic programming.

Gen.jl1725A generalpurpose probabilistic programming system with programmable inference

Plots.jl1710Powerful convenience for Julia visualizations and data analysis

DataFrames.jl1593Inmemory tabular data in Julia

MLJ.jl1589A Julia machine learning framework

UnicodePlots.jl1303Unicodebased scientific plotting for working in the terminal

ModelingToolkit.jl1212An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physicsinformed machine learning and automated transformations of differential equations

Symbolics.jl1169A fast and modern CAS for a fast and modern language.

AlphaZero.jl1131A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

Distributions.jl987A Julia package for probability distributions and associated functions.

Optim.jl960Optimization functions for Julia

TensorFlow.jl866A Julia wrapper for TensorFlow

DSGE.jl798Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Oceananigans.jl781π Julia software for fast, friendly, flexible, oceanflavored fluid dynamics on CPUs and GPUs

DiffEqFlux.jl771Universal neural differential equations with O(1) backprop, GPUs, and stiff+nonstiff DE solvers, demonstrating scientific machine learning (SciML) and physicsinformed machine learning methods

Javis.jl769Julia Animations and Visualizations

JuliaDB.jl765Parallel analytical database in pure Julia

OnlineStats.jl762β‘ Singlepass algorithms for statistics

NeuralPDE.jl755PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

NeuralNetDiffEq.jl755PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

DynamicalSystems.jl725Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

SciMLTutorials.jl694Tutorials for doing scientific machine learning (SciML) and highperformance differential equation solving with open source software.

DiffEqTutorials.jl694Tutorials for doing scientific machine learning (SciML) and highperformance differential equation solving with open source software.

LightGraphs.jl676An optimized graphs package for the Julia programming language

POMDPs.jl587MDPs and POMDPs in Julia  An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

FastAI.jl557Repository of best practices for deep learning in Julia, inspired by fastai

Agents.jl554Agentbased modeling framework in Julia

Gridap.jl539Gridbased approximation of partial differential equations in Julia

GLM.jl538Generalized linear models in Julia

StatsBase.jl525Basic statistics for Julia

Catlab.jl523A framework for applied category theory in the Julia language

ScikitLearn.jl520Julia implementation of the scikitlearn API https://cstjean.github.io/ScikitLearn.jl/dev/

Optimization.jl512Mathematical Optimization in Julia. Local, global, gradientbased and derivativefree. Linear, Quadratic, Convex, MixedInteger, and Nonlinear Optimization in one simple, fast, and differentiable interface.

GalacticOptim.jl512Mathematical Optimization in Julia. Local, global, gradientbased and derivativefree. Linear, Quadratic, Convex, MixedInteger, and Nonlinear Optimization in one simple, fast, and differentiable interface.
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