This package offers Python-style general formatting and c-style numerical formatting.

This package provides a collection of useful bit-twiddling tricks, ready to use as functions, with detailed documentation and example real-world use cases.

Extents.jl is a small package that defines an Extent object that can be used by the different Julia spatial data packages. Extent is a wrapper for a NamedTuple of tuples holding the lower and upper bounds for each dimension of a object.

FuzzyCompletions provides fuzzy completions for a Julia runtime session.

This package provides an implementation of an associative container mapping (K,V) pairs via the type IntervalTreeK, V. The type K may be any ordered type.

Implementations of basic math functions which return NaN instead of throwing a DomainError.

IteratorInterfaceExtensions defines a small number of extensions to the iterator interface.

This package provides a functionality to calculate Earth orientation parameters with data retrieved from IERS.

This repository implements the scratch spaces API for package-specific mutable containers of data. These spaces can contain datasets, text, binaries, or any other kind of data that would be convenient to store in a location specific to your package. As compared to Artifacts, these containers of data are mutable. Because the scratch space location on disk is not very user-friendly, scratch spaces should, in general, not be used for a storing files that the user must interact with through a file browser.

DeepDiffs.jl provides the deepdiff function, which finds and displays differences (diffs) between Julia data structures. It supports Vectors, Dicts, and Strings. When diffing dictionaries where values associated with a particular key may change, deepdiff will recurse into value to provide a more detailed diff.

This package provides a functionality of files download with cURL, wget or HTTP.jl backends.

The Schur decomposition is the workhorse for eigensystem analysis of dense matrices. The diagonal eigen-decomposition of normal (especially Hermitian) matrices is an important special case, but for non-normal matrices the Schur form is often more useful.

This package allows you to query the availability of specific CPU features with low run-time cost.

This module provides support for reading and writing ZIP archives in Julia.

This package allows a few "forward" definitions for the DataValues.jl package that other packages can utilize for integration without having to take direct dependencies.

This package provides a Julia wrapper for astronomical library ERFA.

This package provides a minimal String type for Julia that allows for efficient string representation and transfer

The purpose of this package is partly to extend linear algebra functionality in base to cover generic element types, e.g. BigFloat and Quaternion, and partly to be a place to experiment with fast linear algebra routines written in Julia (except for optimized BLAS).

This package provides a parser for Julia code.

AxisAlgorithms is a collection of filtering and linear algebra algorithms for multidimensional arrays. For algorithms that would typically apply along the columns of a matrix, you can instead pick an arbitrary axis (dimension).

SplitApplyCombine.jl provides high-level, generic tools for manipulating data - particularly focussing on data in nested containers. An emphasis is placed on ensuring split-apply-combine strategies are easy to apply, and work reliably for arbitrary iterables and in an optimized way with the data structures included in Julia's standard library.

MbedTLS.jl provides a wrapper around the mbed TLS and cryptography C library for Julia.

This package supports lazy analogues of array operations like vcat, hcat, and multiplication. This helps with the implementation of matrix-free methods for iterative solvers.

This package make loading packages faster, maybe. It supports specifying glue code in packages which will load automatically when another package is loaded, so that explicit dependencies (and long load times) can be avoided.