A Julia package for probability distributions and associated functions.

Progress meter for long-running computations

Julia implementation of Data structures

Basic statistics for Julia

Special mathematical functions in Julia

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

An interface for tables in Julia

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.

Abstract julia interfaces for working with trees

Lazy code loading for Julia

Julia package for lazily representing matrices filled with a single entry

Update immutable data

Update deeply nested immutable structs.

Julia macro for re-exporting one module from another

Compatibility across Julia versions

Composable Loggers for the Julia Logging StdLib

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

Extensions for Julia's docsystem.

Uniform Interface for positive definite matrices of various structures

Package for checking function arguments

Julia implementation of associative containers that preserve insertion order

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SparseArrays.jl is a Julia stdlib

Abstract types and interfaces for Markov chain Monte Carlo methods

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

Missing value support for Julia

A Julia package for calculating hypergeometric functions

Extra sorting algorithms extending Julia's sorting API

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A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation

Logging sinks and utilites for interactive terminals

A common framework for implementing and using log densities for inference.

Primitives for construction of objects

A data-focused namespace for packages to share functions

Interface for function inversion in Julia

Efficient transducers for Julia

Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.

Canonical default initial values and identity elements for Julia