A simple shared suite of common derivative definitions

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

Missing value support for Julia

A Julia package for calculating hypergeometric functions

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

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

Graph data structures with multiple heterogeneous metadata for Graphs.jl.

Scratch spaces for all your persistent mutable data needs

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

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

Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems

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

Definition of dynamical systems and integrators for DynamicalSystems.jl

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.

Zlib codecs for TranscodingStreams.jl.

Makes Julia's package extensions backwards compatible

Interface for arithmetics on mutable types in Julia

A pooled representation for arrays with few unique elements

A Julia package for downloading and analysing geospatial data from OpenStreetMap APIs.

Fixed-width string types for Julia

A Julia package for generating timeseries surrogates

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

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

Recurrence Quantification Analysis in Julia

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

Wrapper around mbedtls

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Repository for automatic differentiation backend types

Positive-definite "approximations" to matrices

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

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

Naïve combined subexpression elimination in Julia

Edge-weighted graphs compatible with Graphs.jl

A package which provides an API for querying differentiation results at multiple orders simultaneously