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

A Julia package for describing domains as continuous sets of elements

A Julia package for representing infinite-dimensional arrays

Missing value support for Julia

Julia Wrappers for the arpack-ng Fortran library

A Julia package for calculating hypergeometric functions

Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.

Fast matrix multiplication and division for Toeplitz matrices in Julia

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

Scratch spaces for all your persistent mutable data needs

A Julia package for representing block-banded matrices and banded-block-banded matrices

Ask the CPU for cache sizes, SIMD feature support, a running hypervisor, and more.

A Julia package for describing array layouts and more general fast linear algebra

Faster closure variable capture

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

Extra sorting algorithms extending Julia's sorting API

Static types useful for dispatch and generated functions.

A collection of B-spline tools in Julia

Zlib codecs for TranscodingStreams.jl.

Makes Julia's package extensions backwards compatible

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Interface for arithmetics on mutable types in Julia

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

Geometric Numerical Integration in Julia

Common table operations on Tables.jl interface implementations

Calculating contour curves for 2D scalar fields in Julia

This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia

Logging sinks and utilites for interactive terminals

Wrapper around mbedtls

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Positive-definite "approximations" to matrices

Repository for automatic differentiation backend types

Direct solution of large sparse systems of linear algebraic equations in pure Julia

A Julia package to provide C and Python-like formatting support

Naïve combined subexpression elimination in Julia

Use command-line Git in your Julia packages