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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
Kokkos Core implements a programming model in C++ for writing performance portable applications targeting all major HPC platforms. For that purpose it provides abstractions for both parallel execution of code and data management. Kokkos is designed to target complex node architectures with N-level memory hierarchies and multiple types of execution resources.
cpp-httplib is a C++11 single-file cross platform blocking HTTP/HTTPS library, easy to setup. It can also be used as a single-header library.
c2ffi is a tool for extracting definitions from C, C++, and Objective C headers for use with foreign function call interfaces. It uses the Clang/LLVM infrastructure to extract the data, and emits it in various formats, including json.
Hyprgraphics is a small C++ library with graphics/resource related utilities used across the hypr* ecosystem.
This package provides a C++ implementation of a hash map and a hash set with open addressing and sparse quadratic probing. It is intended to be memory efficient and provides additional features, such as heterogeneous lookups and different growth policies.
This binary I/O stream class library presents a platform-independent way to access binary data streams in C++. The library is hardware independent in the form that it transparently converts between the different forms of machine-internal binary data representation.
This package provides a fast and consistent wire protocol, and its implementation. This is essentially a method for processes to talk to each other.
Xbyak is a C++ header-only JIT assembler for x86(IA-32), x64(AMD64/x86-64) architecture. It supports MASM/NASM-like syntax and advanced instruction sets including AVX-512, APX, and AVX10.2.
ArgAgg is yet another C++ command line argument/option parser. It was written as a simple and idiomatic alternative to other frameworks like getopt, Boost program options, TCLAP, and others. The goal is to achieve the majority of argument parsing needs in a simple manner with an easy to use API.
BibleSync is a multicast protocol to support Bible software shared co-navigation. The premise is that there is a local network over which to multicast Bible navigation, and someone, possibly several someones, will transmit, and others will receive. The library implementing the protocol is a single C++ class providing a complete yet minimal public interface to support mode setting, setup for packet reception, transmit on local navigation, and handling of incoming packets.
GNU Cppi processes C source code files to properly indent the preprocessor directives to reflect their nesting. It also performs other standardizations, such as correcting the number of spaces between directives and the text following them.
The tkrplot package lets you place R graphics in a Tk, cross-platform graphical user interface toolkit widget.
This package provides a statistical method to impute the missing values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputations under the zero-inflated Poisson lognormal model. It also provides multiple functions to preprocess the accelerometer data previous to the missing data imputation. These include detecting the wearing and the non-wearing time, selecting valid days and subjects, and creating plots.
This package provides flexible Bayesian estimation of IMIFA and related models, for nonparametrically clustering high-dimensional data. The IMIFA model conducts Bayesian nonparametric model-based clustering with factor analytic covariance structures without recourse to model selection criteria to choose the number of clusters or cluster-specific latent factors, mostly via efficient Gibbs updates. Model-specific diagnostic tools are also provided, as well as many options for plotting results, conducting posterior inference on parameters of interest, posterior predictive checking, and quantifying uncertainty.
The choices of color palettes in R can be quite overwhelming with palettes spread over many packages with many different API's. This package aims to collect all color palettes across the R ecosystem under the same package with a streamlined API.
This package extends the mlr3 package with cluster analysis.
This package provides basic infrastructure for linear test statistics and permutation inference in the framework of Strasser and Weber (1999).
This package provides functions to make zebra-striped tables (tables with alternating row colors) in LaTeX and HTML formats easily from data.frame, matrix, lm, aov, anova, glm, coxph, nls, fitdistr, mytable and cbind.mytable objects.
Manipulate and visualize colors in a intuitive, low-dependency and functional way.
This package is an R wrapper around the cubature C library for adaptive multivariate integration over hypercubes. This version provides both hcubature and pcubature routines in addition to a vector interface.
This is a developer-focused, low dependency package in tidymodels that provides functions to register how models are to be used. Functions to register models are complimented with accessor functions to retrieve registered model information to aid in model fitting and error handling.
This package provides fast machine learning algorithms including matrix factorization and divisive clustering for large sparse and dense matrices.
Given a regression model, segmented updates the model by adding one or more segmented (i.e., piecewise-linear) relationships. Several variables with multiple breakpoints are allowed.
GLDEX offers fitting algorithms corresponding to two major objectives. One is to provide a smoothing device to fit distributions to data using the weighted and unweighted discretised approach based on the bin width of the histogram. The other is to provide a definitive fit to the data set using the maximum likelihood and quantile matching estimation. Other methods such as moment matching, starship method, and L moment matching are also provided. Diagnostics on goodness of fit can be done via qqplots, KS-resample tests and comparing mean, variance, skewness and kurtosis of the data with the fitted distribution.