In-memory tabular data in Julia

Package to call Python functions from the Julia language

Unicode-based scientific plotting for working in the terminal

A Julia package for probability distributions and associated functions.

An optimized graphs package for the Julia programming language

Forward Mode Automatic Differentiation for Julia

Julia implementation of Data structures

Award winning software library for nonlinear dynamics

Statically sized arrays for Julia

Macro(s) for vectorizing loops.

Basic statistics for Julia

Physical quantities with arbitrary units

Fast, continuous interpolation of discrete datasets in Julia

Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.

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

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

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

Filter design, periodograms, window functions, and other digital signal processing functionality

JSON parsing and printing

A man has written a package. A package has no name.

High performance nearest neighbor data structures and algorithms for Julia.

Calculus functions in Julia

Print data in formatted tables.

Hypothesis tests for Julia

Specifying, fitting, and evaluating statistical models in Julia

An interface for tables in Julia

Special mathematical functions in Julia

Rigorous floating-point calculations using interval arithmetic in Julia

Julia bindings to the FFTW library for fast Fourier transforms

Polynomial manipulations in Julia

A combinatorics library for Julia

Lazy code loading for Julia

Root finding functions for Julia

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

A Julia package for fast discrete wavelet transforms and utilities

Adaptive 1d numerical Gauss–Kronrod integration in Julia

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

Mathematical functions related to statistics.

Conda managing Julia binary dependencies

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