Powerful convenience for Julia visualizations and data analysis

In-memory tabular data in Julia

Automatically update function definitions in a running Julia session

A Julia package for probability distributions and associated functions.

Forward Mode Automatic Differentiation for Julia

Macro(s) for vectorizing loops.

Statically sized arrays for Julia

Julia implementation of Data structures

Progress meter for long-running computations

HTTP for Julia

An experimental code analyzer for Julia. No need for additional type annotations.

Agent-based modeling framework in Julia

Basic statistics for Julia

Convert julia objects to LaTeX equations, arrays or other environments.

The slow descent into madness

I was gonna maintain this package, but then I got high

HDF5-compatible file format in pure Julia

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

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

Types with default field values, keyword constructors and (un-)pack macros

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

An optimized graphs package for the Julia programming language

Iterative algorithms for solving linear systems, eigensystems, and singular value problems

High performance nearest neighbor data structures and algorithms for Julia.

Plotting for Julia based on GR, a framework for visualisation applications

Print data in formatted tables.

Special mathematical functions in Julia

JSON parsing and printing

Making packages work faster with more extensive precompilation

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

Julia solvers for systems of nonlinear equations and mixed complementarity problems

Reusable array functionality for Julia's various GPU backends.

A Julia Basket of Hand-Picked Krylov Methods

An interface for tables in Julia

Calculus functions in Julia

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

High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)

Mathematical functions related to statistics.

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.

A Julia frontend, written in Julia