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Top Pkgs Packages

1

Optim

Optimization functions for Julia

2

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

3

Documenter

A documentation generator for Julia.

4

Unitful

Physical quantities with arbitrary units

5

Interpolations

Fast, continuous interpolation of discrete datasets in Julia

6

ProfileView

Visualization of Julia profiling data

7

DiffEqOperators

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

8

DiffEqBase

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

9

RecipesBase

Base package for defining transformation recipes on user types for Plots.jl

10

NCDatasets

Load and create NetCDF files in Julia

11

ImageFiltering

Julia implementations of multidimensional array convolution and nonlinear stencil operations

12

BlockBandedMatrices

A Julia package for representing block-banded matrices and banded-block-banded matrices

13

HyperDualNumbers

Julia implementation of HyperDualNumbers

14

DIVAnd

DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

15

PlotUtils

Generic helper algorithms for building plotting components

16

NaNMath

Julia math built-ins which return NaN and accumulator functions which ignore NaN

17

GeoStatsBase

Base package for the GeoStats.jl framework

18

InverseDistanceWeighting

Inverse distance estimation solver for the GeoStats.jl framework

19

UnitfulUS

U.S. customary units for Unitful

20

DualMatrixTools

A little Julia module to allow factorization and backslash to work with dual-valued arrays and sparse arrays.

21

HyperDualMatrixTools

A little Julia module to allow factorization and backslash to work with hyperdual-valued arrays and sparse arrays.

22

Inpaintings

Inpaint "missing", "NaN", or other values in arrays with different methods