Tool Chain for Physicists

There are some useful tools (Packages) that will help you work with Julia in Physics, but you might want to find what you want first in Julia.jl.

• Julia.jl Curated decibans of Julia language.

Tensor Operations and Linear Algebra

Tensor Basics

• TensorOperations Julia package for tensor contractions and related operations

• Einsum.jl Einstein summation notation in Julia

• CuArrays.jl A Curious Cumulation of CUDA Cuisine

• StaticArrays.jl Statically sized arrays for Julia

• LuxurySparse.jl High performance extensions for sparse matrices.

Large Sparse Matrix Eigensolvers

• IterativeSolvers.jl Iterative algorithms for solving linear systems, eigensystems, and singular value problems

• KrylovKit.jl A Julia package collecting a number of Krylov-based algorithms for linear problems, singular value and eigenvalue problems and the application of functions of linear maps or operators to vectors.

• JacobiDavidson.jl An implementation of Jacobi-Davidson in Julia.

• ArnoldiMethod.jl The Implicitly Restarted Arnoldi Method, natively in Julia.

• Krylov.jl: part of the JuliaSmoothOptimizers organisation, solves linear systems and least square problems, specific for linear operators from LinearOperators.jl.

• KrylovMethods.jl: specific for sparse matrices

Others

• Expokit.jl This package provides Julia implementations of some routines contained in EXPOKIT.

• ExpmV.jl This is a Julia translation of the MATLAB implementation of Al-Mohy and Higham's function for computing expm(tA)v when A is sparse, without explicitly computing expm(A).

• JuMP.jl Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

• LowRankModels.jl LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.

Mathematics and Physics

• Cliffords.jl Efficient calculation of Clifford circuits in Julia.

• StatsBase.jl StatsBase.jl is a Julia package that provides basic support for statistics.

• Symata.jl language for symbolic mathematics

• Yao.jl Extensible, Efficient Quantum Algorithm Design for Humans.

• QuantumLab.jl A workbench for Quantum Chemistry and Quantum Physics in Julia

• QuantumOptics.jl Library for the numerical simulation of closed as well as open quantum systems.

Deep Learning

Frameworks

• Knet.jl Koç University deep learning framework.

• TensorFlow.jl A Julia wrapper for TensorFlow

• MXNet.jl MXNet Julia Package - flexible and efficient deep learning in Julia

Auto Differentiation

• ForwardDiff.jl Forward Mode Automatic Differentiation for Julia

• ReverseDiffSource.jl Reverse automated differentiation from source

• AutoDiffSource.jl Julia automatic differentiation with source code transformation

Others

• MLKernels.jl A Julia package for Mercer kernel functions (or the covariance functions used in Gaussian processes) that are used in the kernel methods of machine learning

Data Science

Data Structure

• LightGraphs.jl An optimized graphs package for Julia

• AbstractTrees.jl Abstract julia interfaces for working with trees

• Dendriform.jl Dendriform di-algebra algorithms to compute using Loday's arithmetic on groves of planar binary trees.

Data Compression and Storage

• JLD.jl Saving and loading julia variables while preserving native types

• JLD2.jl HDF5-compatible file format in pure Julia

Data Visualization

• Interact.jl Interactive widgets to play with your Julia code

• Plots.jl Powerful convenience for Julia visualizations and data analysis

• PyPlot.jl This module provides a Julia interface to the Matplotlib plotting library from Python, and specifically to the matplotlib.pyplot module.

Other Developer's Tools

• BenchmarkTools.jl BenchmarkTools makes performance tracking of Julia code easy by supplying a framework for writing and running groups of benchmarks as well as comparing benchmark results.

• PackageCompiler.jl Compile your Julia Package

• StatProfilerHTML.jl Show Julia profiling data in an explorable HTML page

• Cxx.jl The Julia C++ Interface

• PyCall.jl This package provides the ability to directly call and fully interoperate with Python from the Julia language.

• Lazy.jl provides Julia with the cornerstones of functional programming