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 package provides an enhancement to Julia piping syntax.

This implementation of Glob is based on the IEEE Std 1003.1, 2004 Edition (Open Group Base Specifications Issue 6) for fnmatch and glob.

This package provides a wrapper for Rmath.

Update deeply nested immutable structs.

Tricks.jl is an particularly cunning package that does tricks with the Julia edge system.

BitFlag.jl provides an Enum-like type for bit flag option values.

This package allows one to use conda as a cross-platform binary provider for Julia for other Julia packages, especially to install binaries that have complicated dependencies like Python.

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.

HTTP.jl is a Julia library for HTTP Messages, implementing both a client and a server.

This package provides Openssl Julia bindings.

This package exports a macro @from, which can be used to import objects from files.

This is a slightly modified version of the standalone Rmath library from R, built to be used with the Rmath.jl Julia package. The main difference is that it is built to allow defining custom random number generating functions via C function pointers (see include/callback.h). When using the library, these should be defined before calling any of the random functions.

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

This package provides a generic implementation of the marching squares algorithm for tracing contour curves on a scalar 2D field.

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.

PrecompileTools allows you to reduce the latency of the first execution of Julia code. It is applicable for package developers and for "ordinary users" in their personal workflows.

This package provides an interface to invert functions in Julia.

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

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.

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!

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.

This package reads all method signatures in a package and generates precompile directives for any concrete signature that it can find.

Easy memoization for Julia.