FuzzyCompletions provides fuzzy completions for a Julia runtime session.

This package provides macros for defining the required behaviours of Julia interfaces, and stating that an object implements them.

The Tables.jl package provides simple, yet powerful interface functions for working with all kinds tabular data.

This package provides manually managed memory buffers backed by NTuples in Julia.

This package provides a canonical set of default initial values and identity elements for Julia.

This package provides the IOCapture.capture(f) function, which captures the standard output and standard error, and returns it as a string together with the return value.

This package provides an interface to invert functions.

This package enables the Julia compiler to generate efficient code when running test cases. Test cases are typically run with flags that prevent efficient code generation. This package detects those flags and instead spawns a separate Julia process without the flags in which to run the test cases.

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

This package was factored out of Plots.jl to allow any other plotting package to use the recipe pipeline. In short, the extremely lightweight RecipesBase.jl package can be depended on by any package to define "recipes": plot specifications of user-defined types, as well as custom plot types. RecipePipeline.jl contains the machinery to translate these recipes to full specifications for a plot.

RecursiveArrayTools.jl is a set of tools for dealing with recursive arrays like arrays of arrays.

This package provides bit twiddling convenience functions in Julia. These are useful for going to the next or previous mask size or for calculating corresponding shifts.

This package provides a collection of tools for metaprogramming on Julia Expr, the meta programming standard library for MLStyle.

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.

Millboard.jl provides a library for getting data in a tablized format to arrange into rows and columns of cells.

This package provides a display system which enables the user handle multiple input/output devices and decide what media types get displayed where.

This package defines functionality to calculate volume element changes for functions that perform a change of variables (like coordinate transformations).

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

PDMats.jl supports efficient computation on positive definite matrices of various structures. In particular, it provides uniform interfaces to use positive definite matrices of various structures for writing generic algorithms, while ensuring that the most efficient implementation is used in actual computation.

This package allows programmers to explicitly SIMD-vectorize their Julia code. By exposing SIMD vector types and corresponding operations, the programmer can explicitly vectorize their code. While this does not guarantee that the generated machine code is efficient, it relieves the compiler from determining whether it is legal to vectorize the code, deciding whether it is beneficial to do so, and rearranging the code to synthesize vector instructions.

This package is intended as a lightweight foundation for tensor operations across the Julia ecosystem. Currently it exports three operations: hadamard, tensor, and boxdot.

This package will provide a library of functions useful for machine learning, such as softmax, sigmoid, convolutions and pooling. It doesn't provide any other "high-level" functionality like layers or AD.

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

This package contains the underlying query operators that are exposed to users in Query.jl.