Git.jl allows you to use command-line Git in your Julia packages. You do not need to have Git installed on your computer, and neither do the users of your packages!

This package provides a wrapper for the git library.

Makie is a data visualization ecosystem for the Julia programming language.

An abstract package to be implemented by packages/people who create widgets (or other dingetjes) for Pluto.

SnoopPrecompile is a small dependency used to effectively precompile code needed by your package, particularly on Julia 1.8 and higher.

Julia bind to fzf fuzzy finder.

julia-progressmeter provides a progress meter for long-running computations.

TimerOutputs is a small Julia package that is used to generate formatted output from timings made in different sections of a program. It's main functionality is the @timeit macro, similar to the @time macro in Base except one also assigns a label to the code section being timed. Multiple calls to code sections with the same label (and in the same "scope") will accumulate the data for that label. After the program has executed, it is possible to print a nicely formatted table presenting how much time, allocations and number of calls were made in each section. The output can be customized as to only show the things you are interested in.

This package provides a collection of mathematical constants and numerical functions for statistical computing.

This holds the common solve, init, step!, and solve! commands. By using the same definition, solver libraries from other completely different ecosystems can extend the functions and thus not clash with SciML if both ecosystems export the solve command. The rules are that you must dispatch on one of your own types.

This is a wrapper package meant to bridge the gap for packages that want to use the LazyArtifacts stdlib as a dependency within packages that still support Julia versions older than 1.6.

This package defines an interface for mathematical/statistical densities and objects associated with a density in Julia.

Easy regression testing for visual packages. Automated tests compare similarity between a newly generated image and a reference image using the Images package. While in interactive mode, the tests can optionally pop up a Gtk GUI window showing a side-by-side comparison of the test and reference image, and then optionally overwrite the reference image with the test image. This allows for straightforward regression testing of image data, even when the "correct" images change over time.

Julia's package manager stores package metadata in registries, which consist of TOML files in a directory structure.

A Pluto notebook is made up of small blocks of Julia code (cells) and together they form a reactive notebook. When you change a variable, Pluto automatically re-runs the cells that refer to it. Cells can even be placed in arbitrary order - intelligent syntax analysis figures out the dependencies between them and takes care of execution.

FoldingTrees implements a dynamic tree structure in which some nodes may be "folded," i.e., marked to avoid descent among that node's children. It also supports interactive text menus based on folding trees.

A package for handling lazily initialized fields.

LiteQTL is a package that runs whole genome QTL scans near real-time, utilizing the computation power of GPU. LiteQTL uses new algorithms that enables near-real time whole genome QTL scans for up to 1 million traits. By using easily parallelizable operations including matrix multiplication, vectorized operations, and element-wise operations, our method is about 300 times faster than a R/qtl linear model genome scan using 16 threads.

Makie is a data visualization ecosystem for the Julia programming language.

This package provides basic arithmetic, integration, differentiation, evaluation, and root finding over dense univariate polynomials.

Julia package for probability distributions and associated functions. Particularly, Distributions implements:

1. Moments (e.g mean, variance, skewness, and kurtosis), entropy, and other properties

2. Probability density/mass functions (pdf) and their logarithm (logpdf)

3. Moment generating functions and characteristic functions

4. Sampling from population or from a distribution

5. Maximum likelihood estimation

This package provides Openssl Julia bindings.

A left child, right sibling tree (frequently abbreviated as "LCRS") is a rooted tree data structure that allows a parent node to have multiple child nodes. Rather than maintain a list of children (which requires one array per node), instead it is represented as a binary tree, where the "left" branch is the first child, whose "right" branch points to its first sibling.

SnoopCompile observes the Julia compiler, causing it to record the functions and argument types it's compiling. From these lists of methods, you can generate lists of precompile directives that may reduce the latency between loading packages.