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Top Pkgs Packages

1

Flux

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

2

IJulia

Julia kernel for Jupyter

3

DifferentialEquations

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

4

Gadfly

Crafty statistical graphics for Julia.

5

JuMP

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

6

Mocha

Deep Learning framework for Julia

7

Knet

Koç University deep learning framework.

8

Plots

Powerful convenience for Julia visualizations and data analysis

9

Turing

Bayesian inference with probabilistic programming.

10

PyCall

Package to call Python functions from the Julia language

11

DataFrames

In-memory tabular data in Julia

12

Zygote

Intimate Affection Auditor

13

TensorFlow

A Julia wrapper for TensorFlow

14

Makie

High level plotting on the GPU.

15

PackageCompiler

Compile your Julia Package

16

UnicodePlots

Unicode-based scientific plotting for working in the terminal

17

Revise

Automatically update function definitions in a running Julia session

18

Optim

Optimization functions for Julia

19

JuliaDB

Parallel analytical database in pure Julia

20

Distributions

A Julia package for probability distributions and associated functions.

21

DSGE

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

22

Cxx

The Julia C++ Interface

23

LightGraphs

An optimized graphs package for the Julia programming language

24

Weave

Scientific reports/literate programming for Julia

25

Yao

Extensible, Efficient Quantum Algorithm Design for Humans.

26

OnlineStats

Single-pass algorithms for statistics

27

DiffEqFlux

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

28

ForwardDiff

Forward Mode Automatic Differentiation for Julia

29

OhMyREPL

Syntax highlighting and other enhancements for the Julia REPL

30

ModelingToolkit

A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations