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 provides types similar to Julia's Rational type, which make some sacrifices but have better computational performance.
This package provides support for image resizing, image rotation, and other spatial transformations of arrays.
This package provides tools for working with the basic calculus operations of differentiation and integration. The Calculus package produces approximate derivatives by several forms of finite differencing or produces exact derivative using symbolic differentiation. It can also be used to compute definite integrals by different numerical methods.
This package provides a set of custom string types of various fixed sizes. Each inline string is a custom primitive type and can benefit from being stack friendly by avoiding allocations/heap tracking in the GC. When used in an array, the elements are able to be stored inline since each one has a fixed size. Currently support inline strings from 1 byte up to 255 bytes.
This package provides support for the Woodbury matrix identity for the Julia programming language. This is a generalization of the Sherman-Morrison formula. Note that the Woodbury matrix identity is notorious for floating-point roundoff errors, so be prepared for a certain amount of inaccuracy in the result.
This package defines functions for getting multiple indices out of dictionaries, tuples, etc, extending this ability beyond AbstractArray.
JSON.jl is a pure Julia module which supports parsing and printing JSON documents.
This package provides a collection of useful extensions for Julia's built-in docsystem. These are features that are not yet mature enough to be considered for inclusion in Base, or that have sufficiently niche use cases that including them with the default Julia installation is not seen as valuable enough at this time.
Static.jl defines a limited set of statically parameterized types and a common interface that is shared between them.
This package provides a convenient function form of the conditional ifelse. It is similar to Core.ifelse but it is extendable.
When visualizing images, it is not uncommon to provide a 2D view of different image sources. For example, comparing multiple images of different sizes, getting a preview of machine learning dataset. This package aims to provide easy-to-use tools for such tasks.
This package provides various examples.
This package provides a collection of colorschemes.
This module provides a Julia interface to GR, a framework for visualisation applications.
This package provides reader/writer for delimited text data, as comma-delimited (csv), tab-delimited (tsv), or otherwise.
TableTraits defines a generic interface for tabular data.
This package contains types with default field values, keyword constructors and (un-)pack macros. Keyword functions can be slow in Julia, however, the normal positional constructor is also provided and could be used in performance critical code.
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.
LightGraphs offers both (a) a set of simple, concrete graph implementations -- Graph (for undirected graphs) and DiGraph (for directed graphs), and (b) an API for the development of more sophisticated graph implementations under the AbstractGraph type.
This package provides a wrapper around ImageMagick version 6. It was split off from Images.jl to make image I/O more modular.
This package defines a new operator for composition of morphisms.
This package contains generic helper algorithms for building plotting components.
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.
ImageInTerminal.jl is a drop-in package that once imported changes a how a single Colorant and whole Colorant arrays (i.e. Images) are displayed in the interactive REPL. The displayed images will be downscaled to fit into the size of your active terminal session.