A benchmarking framework for the Julia language

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

Interface for transformation functions in Julia

A Julia package for data clustering

A bzip2 codec for TranscodingStreams.jl.

Zlib codecs for TranscodingStreams.jl.

Naïve combined subexpression elimination in Julia

Compatibility across Julia versions

Colored and styled strings for terminals.

Utility library for working with CSV and other delimited files in the Julia programming language

A data-focused namespace for packages to share functions

In-memory tabular data in Julia

Julia implementation of Data structures

-

A package which provides an API for querying differentiation results at multiple orders simultaneously

A simple shared suite of common derivative definitions

A Julia package for evaluating distances (metrics) between vectors.

Extensions for Julia's docsystem.

Main Package for IO, loading all different kind of files

Filesystem path types in julia

Forward Mode Automatic Differentiation for Julia

Fixed-width string types for Julia

Interface for function inversion in Julia

A simple index type that allows for inverted selections

Defines additional irrationals

Traits for julia iterators

JSON parsing and printing

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

Convenient input and display of LaTeX equation strings for the Julia language

Julia package for various special functions based on `log` and `exp`.

MacroTools provides a library of tools for working with Julia code and expressions.

A data structure for mathematical optimization problems

Missing value support for Julia

Interface for arithmetics on mutable types in Julia

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

High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.

Julia implementation of associative containers that preserve insertion order

Fast parsing machinery for basic types in Julia

A pooled representation for arrays with few unique elements

Reduce time-to-first-execution of Julia code