In-memory tabular data in Julia

Package to call Python functions from the Julia language

CUDA programming in Julia.

A Julia package for probability distributions and associated functions.

Statically sized arrays for Julia

Julia implementation of Data structures

Formatted output of timed sections in Julia

HTTP for Julia

Physical quantities with arbitrary units

Basic statistics for Julia

HDF5-compatible file format in pure Julia

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

Print data in formatted tables.

Julia functional programming infrastructures and metaprogramming facilities

Save and load data in the HDF5 file format from Julia

MPI wrappers for Julia

Heterogeneous programming in Julia

Special mathematical functions in Julia

Reusable array functionality for Julia's various GPU backends.

JSON parsing and printing

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

An interface for tables in Julia

Julia module for reading MATLAB files

Adaptive 1d numerical Gauss–Kronrod integration in Julia

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.

Mathematical functions related to statistics.

Utility package for accessing common Machine Learning datasets in Julia

Main Package for IO, loading all different kind of files

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

Julia protobuf implementation

Reduce time-to-first-execution of Julia code

Color manipulation utilities for Julia

Neural Network primitives with multiple backends

Fortran-like arrays with arbitrary, zero or negative starting indices.

Lazy code loading for Julia

Colorschemes, colormaps, gradients, and palettes

Julia package for lazily representing matrices filled with a single entry

Update immutable data

Conda managing Julia binary dependencies