Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
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.
This package provides a wrapper for fzf.
Visualizations using Pluto.jl notebooks.
Makie is a data visualization ecosystem for the Julia programming language.
This package provides an enhancement to Julia piping syntax.
Packages are installed to a Prefix; a folder that acts similar to the /usr/local directory on Unix-like systems, containing a bin folder for binaries, a lib folder for libraries, etc... Prefix objects can have tarballs install()'ed within them, uninstall()'ed from them, etc...
Plots is a plotting API and toolset.
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.
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.
An abstract package to be implemented by packages/people who create widgets (or other dingetjes) for Pluto.
This package provides the Observables type in Julia, which are like Refs but you can listen to changes.
Julia package for probability distributions and associated functions. Particularly, Distributions implements:
Moments (e.g mean, variance, skewness, and kurtosis), entropy, and other properties
Probability density/mass functions (pdf) and their logarithm (logpdf)
Moment generating functions and characteristic functions
Sampling from population or from a distribution
Maximum likelihood estimation
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.
BitFlag.jl provides an Enum-like type for bit flag option values.
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.
Julia's package manager stores package metadata in registries, which consist of TOML files in a directory structure.
Cthulhu can help you debug type inference issues by recursively showing the code_typed output until you find the exact point where inference gave up, messed up, or did something unexpected. Using the Cthulhu interface you can debug type inference problems faster.
This package provides an abstraction layer over the FreeType Julia module.
CodeTracking can be thought of as an extension of Julia's InteractiveUtils library. It provides an interface for obtaining:
the strings and expressions of method definitions
the method signatures at a specific file & line number
location information for "dynamic" code that might have moved since it was first loaded
a list of files that comprise a particular package.
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.
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.
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.
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.