This package aims to offer a standard set of Geometry types, which easily work with metadata, query frameworks on geometries and different memory layouts. The aim is to create a solid basis for Graphics/Plotting, finite elements analysis, Geo applications, and general geometry manipulations - while offering a Julian API, that still allows performant C-interop.

This package provides the DiffResult type, which can be passed to in-place differentiation methods instead of an output buffer.

This package provides Julia implementation for reading and writing FITS files, based on the cfitsio library.

This package provides the @cse macro, which performs common subexpression elimination.

This package just exports one type: the InvertedIndex, or Not for short. It can wrap any supported index type and may be used as an index into any AbstractArray subtype, including OffsetArrays.

This is a Julia package that defines an IniFile type that interfaces with .ini files.

StatsBase.jl is a Julia package that provides basic support for statistics. Particularly, it implements a variety of statistics-related functions, such as scalar statistics, high-order moment computation, counting, ranking, covariances, sampling, and empirical density estimation.

This package implements a variety of interpolation schemes for the Julia language. It has the goals of ease-of-use, broad algorithmic support, and exceptional performance.

Zygote provides source-to-source automatic differentiation (AD) in Julia, and is the next-generation AD system for the Flux differentiable programming framework.

This package provides special mathematical functions, including Bessel, Hankel, Airy, error, Dawson, exponential (or sine and cosine) integrals, eta, zeta, digamma, inverse digamma, trigamma, and polygamma functions.

A block array is a partition of an array into blocks or subarrays. This package has two purposes. Firstly, it defines an interface for an AbstractBlockArray block arrays that can be shared among types representing different types of block arrays. The advantage to this is that it provides a consistent API for block arrays. Secondly, it also implements two different type of block arrays that follow the AbstractBlockArray interface. The type BlockArray stores each block contiguously while the type PseudoBlockArray stores the full matrix contiguously. This means that BlockArray supports fast non copying extraction and insertion of blocks while PseudoBlockArray supports fast access to the full matrix to use in in for example a linear solver.

The DualNumbers Julia package defines the Dual type to represent dual numbers, and supports standard mathematical operations on them. Conversions and promotions are defined to allow performing operations on combinations of dual numbers with predefined Julia numeric types.

This package intends to provide a simple RNG with stable streams, suitable for tests in packages which need reproducible streams of random numbers across Julia versions. Indeed, the Julia RNGs provided by default are documented to have non-stable streams (which for example enables some performance improvements).

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.

This package provides consistent and extensible functional programming infrastructures, and metaprogramming facilities.

Graphics.jl is an abstraction layer for graphical operations in Julia.

libwhich is like which, but for dynamic libraries. It is also a bit like ldd and otool -L.

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

The jupyterlite-core package provides the core functionality for building JupyterLite websites, the jupyter-lite CLI, and extension points for authoring custom addons.

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.

A bash shell kernel for Jupyter.

This package provides the IPython kernel for Jupyter.

This package provides a Jupyter Server extension providing terminals.

This package provides the backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.