k3ylabs/cosoco-image-dataset huggingface dataset:
Package: r-cran-qtl (1.50-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=qtl
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, libblas3 | libblas.so.3, libc6 (>= 2.29), liblapack3 | liblapack.so.3, ruby
Description:  GNU R package for genetic marker linkage analysis R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in experimental crosses. It is implemented as an add-on-package for the freely available and widely used statistical language/software R (see http://www.r-project.org). . The development of this software as an add-on to R allows one to take advantage of the basic mathematical and statistical functions, and powerful graphics capabilities, that are provided with R. Further, the user will benefit by the seamless integration of the QTL mapping software into a general statistical analysis program. The goal is to make complex QTL mapping methods widely accessible and allow users to focus on modeling rather than computing. . A key component of computational methods for QTL mapping is the hidden Markov model (HMM) technology for dealing with missing genotype data. The main HMM algorithms, with allowance for the presence of genotyping errors, for backcrosses, intercrosses, and phase-known four-way crosses were implemented. . The current version of R/qtl includes facilities for estimating genetic maps, identifying genotyping errors, and performing single-QTL genome scans and two-QTL, two-dimensional genome scans, by interval mapping (with the EM algorithm), Haley-Knott regression, and multiple imputation. All of this may be done in the presence of covariates (such as sex, age or treatment). One may also fit higher-order QTL models by multiple imputation.
Package: r-cran-quadprog (1.5-8-1build1)
Section: universe/math
Homepage: https://cran.r-project.org/package=quadprog
Depends: libblas3 | libblas.so.3, libc6 (>= 2.4), r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package for solving quadratic programming problems This CRAN package provides functions and documentation for solving quadratic programming problems in GNU R.
Package: r-cran-quantmod (0.4.18-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=quantmod
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-xts (>= 0.9-0), r-cran-zoo, r-cran-ttr (>= 0.2), r-cran-curl
Description:  GNU R package for quantitative financial modeling framework This package contains functions to specify, build, trade, and analyse quantitative financial trading strategies with R.
Package: r-cran-quantreg (5.88-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=quantreg
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), libgfortran5 (>= 8), liblapack3 | liblapack.so.3, r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-sparsem, r-cran-matrix, r-cran-matrixmodels, r-cran-conquer
Description:  GNU R package for quantile regression The quantreg package provides quantitle regression and related methods.
Package: r-cran-qvcalc (1.0.2-2build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=qvcalc
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R quasi variances for factor effects in statistical models This GNU R package provides functions to compute quasi variances and associated measures of approximation error in statistical models.
Package: r-cran-r.cache (0.15.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=R.cache
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-r.methodss3 (>= 1.8.1), r-cran-r.oo (>= 1.24.0), r-cran-r.utils (>= 2.10.1), r-cran-digest (>= 0.6.13)
Description:  R package: Fast and Light-Weight Caching of Objects and Results Memoization can be used to speed up repetitive and computational expensive function calls. The first time a function that implements memoization is called the results are stored in a cache memory. The next time the function is called with the same set of parameters, the results are momentarily retrieved from the cache avoiding repeating the calculations. With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects. The cache memory is persistent (on the file system).
Package: r-cran-r.devices (2.17.0+ds-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=R.devices
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-r.methodss3 (>= 1.8.1), r-cran-r.oo (>= 1.24.0), r-cran-r.utils (>= 2.10.1), r-cran-base64enc (>= 0.1-2)
Description:  unified handling of graphics devices in R Functions for creating plots and image files in a unified way regardless of output format (EPS, PDF, PNG, SVG, TIFF, WMF, etc.). Default device options as well as scales and aspect ratios are controlled in a uniform way across all device types. Switching output format requires minimal changes in code. This package is ideal for large-scale batch processing, because it will never leave open graphics devices or incomplete image files behind, even on errors or user interrupts.
Package: r-cran-r.methodss3 (1.8.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=R.methodsS3
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0
Description:  GNU R utility function for defining S3 methods Methods that simplify the setup of S3 generic functions and S3 methods. Major effort has been made in making definition of methods as simple as possible with a minimum of maintenance for package developers. For example, generic functions are created automatically, if missing, and naming conflict are automatically solved, if possible. The method setMethodS3() is a good start for those who in the future may want to migrate to S4. This is a cross-platform package implemented in pure R that generates standard S3 methods.
Package: r-cran-r.oo (1.24.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=R.oo
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-r.methodss3 (>= 1.8.0)
Description:  GNU R object-oriented programming with or without references Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.
Package: r-cran-r.rsp (0.44.0+ds-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=R.rsp
Depends: tcl, r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-r.methodss3 (>= 1.7.1), r-cran-r.oo (>= 1.23.0), r-cran-r.utils, r-cran-r.cache, r-cran-digest (>= 0.6.13)
Description:  Dynamic Generation of Scientific Reports The RSP markup language makes any text-based document come alive. RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date is <%=Sys.Date()%>'. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. Functions rstring() and rcat() make it easy to process RSP strings, rsource() sources an RSP file as it was an R script, while rfile() compiles it (even online) into its final output format, e.g. rfile('report.tex.rsp') generates 'report.pdf' and rfile('report.md.rsp') generates 'report.html'. RSP is ideal for self- contained scientific reports and R package vignettes. It's easy to use  - if you know how to write an R script, you'll be up and running within minutes.
Package: r-cran-r.utils (2.11.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=R.utils
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-r.oo (>= 1.24.0), r-cran-r.methodss3 (>= 1.8.1)
Description:  GNU R various programming utilities This GNU R package contains various programming utilities,  These functions are useful when programming and developing R packages.
Package: r-cran-r2d2 (1.0-0-3build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=r2d2
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-kernsmooth, r-cran-mass, r-cran-sp
Description:  Bivariate (2D) Confidence Region and Frequency Distribution This package provides generic functions to analyze the distribution of two continuous variables: 'conf2d' to calculate a smooth empirical confidence region, and 'freq2d' to calculate a frequency distribution.
Package: r-cran-r6 (2.5.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=R6
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  R classes with reference semantics The R6 package allows the creation of classes with reference semantics, similar to R's built-in reference classes. Compared to reference classes, R6 classes are simpler and lighter-weight, and they are not built on S4 classes so they do not require the methods package. These classes allow public and private members, and they support inheritance, even when the classes are defined in different packages.
Package: r-cran-ragg (1.2.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ragg
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-systemfonts (>= 1.0.3), r-cran-textshaping (>= 0.3.0), libc6 (>= 2.29), libfreetype6 (>= 2.2.1), libgcc-s1 (>= 3.0), libjpeg8 (>= 8c), libpng16-16 (>= 1.6.2-1), libstdc++6 (>= 11), libtiff5 (>= 4.0.3)
Description:  GNU R graphic devices based on AGG Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.
Package: r-cran-randomfields (3.3.14-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RandomFields
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-sp, r-cran-randomfieldsutils (>= 1.1), libc6 (>= 2.35), libgomp1 (>= 6), liblapack3 | liblapack.so.3, libstdc++6 (>= 4.1.1)
Description:  GNU R simulation and analysis of random fields This GNU R package can be used for simulation of Gaussian and extreme value random fields; conditional simulation; kriging; maximum likelihood estimation.
Package: r-cran-randomfieldsutils (1.1.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RandomFieldsUtils
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, libblas3 | libblas.so.3, libc6 (>= 2.29), libgomp1 (>= 6), liblapack3 | liblapack.so.3, libstdc++6 (>= 4.1.1)
Description:  utilities for the simulation and analysis of random fields Various utilities are provided that might be used in spatial statistics and elsewhere. It delivers a method for solving linear equations that checks the sparsity of the matrix before any algorithm is used. Furthermore, it includes the Struve functions.
Package: r-cran-randomforest (4.7-1-1)
Section: universe/science
Homepage: https://cran.r-project.org/package=randomForest
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, libc6 (>= 2.29)
Description:  GNU R package implementing the random forest classificator RandomForest implements Breiman’s random forest algorithm (based on Breiman and Cutler’s original Fortran code) for classification and regression. It can also be used in unsupervised mode for assessing proximities among data points. . The technique uses multiple decision trees and combines their individual votes.
Package: r-cran-randomglm (1.02-1-1build1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=randomGLM
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-mass, r-cran-foreach, r-cran-doparallel
Description:  Random General Linear Model Prediction The package implements a bagging predictor based on general linear models
Package: r-cran-ranger (0.13.1-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ranger
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rcpp (>= 0.11.2), r-cran-matrix, r-cran-rcppeigen, libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 11)
Description:  Fast Implementation of Random Forests A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix') can be directly analyzed.
Package: r-cran-rann (2.6.1-1build2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RANN
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.4), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.9)
Description:  Fast Nearest Neighbour Search Using L2 Metric Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is support for approximate as well as exact searches, fixed radius searches and 'bd' as well as 'kd' trees. The distance is computed using the L2 (Euclidean) metric. Please see package 'RANN.L1' for the same functionality using the L1 (Manhattan, taxicab) metric.
Package: r-cran-rappdirs (0.3.3-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rappdirs
Depends: r-base-core (>= 4.0.3-1), r-api-4.0
Description:  GNU R application directories This GNU R package provides functions to determine where to save data, caches and Logs. . An easy way to determine which directories on the users computer you should use to save data, caches and logs. This is a port of Python's Appdirs to R.
Package: r-cran-raschsampler (0.8-8-3)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RaschSampler
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.14), libgfortran5 (>= 10)
Description:  GNU R package for sampling binary matrices with fixed margins This package implements an MCMC algorithm for sampling of binary matrices with fixed margins complying to the Rasch model.  Its stationary distribution is uniform.  The algorithm also allows for square matrices with fixed diagonal.
Package: r-cran-raster (3.5-15-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=raster
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-sp (>= 1.4-5), r-cran-rcpp, r-cran-terra (>= 1.5-12), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 11)
Description:  GNU R geographic data analysis and modeling This GNU R package provides functions for reading, writing, manipulating, analyzing and modeling of gridded spatial data. The package implements basic and high-level functions. Processing of very large files is supported.
Package: r-cran-ratelimitr (0.4.1-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=ratelimitr
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-assertthat
Description:  Rate Limiting for GNU R This GNU R package allows one to limit the rate at which one or more functions can be called.
Package: r-cran-rbibutils (2.2.7-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rbibutils
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, libc6 (>= 2.14)
Description:  GNU R convert between bibliography formats Converts between a number of bibliography formats, including 'BibTeX', 'BibLaTeX' and 'Bibentry'.  Includes a port of the 'bibutils' utilities by Chris Putnam <https://sourceforge.net/projects/bibutils/>. Supports all bibliography formats and character encodings implemented in 'bibutils'.
Package: r-cran-rcarb (0.1.5-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RCarb
Depends: r-base-core (>= 4.1.2-1ubuntu2), r-api-4.0, r-cran-interp (>= 1.0), r-cran-matrixstats (>= 0.61.0)
Description:  GNU R dose rate modelling of carbonate-rich samples Translation of the 'MATLAB' program 'Carb' (Nathan and Mauz 2008 <DOI:10.1016/j.radmeas.2007.12.012>; Mauz and Hoffmann 2014) for dose rate modelling for carbonate-rich samples in the context of trapped charged dating (e.g., luminescence dating) applications.
Package: r-cran-rcdk (3.6.0+dfsg-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rcdk
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rcdklibs (>= 2.3), r-cran-fingerprint, r-cran-rjava, r-cran-png, r-cran-iterators, r-cran-itertools, libcdkr-java
Description:  GNU R interface to the 'CDK' libraries Allows the user to access functionality in the 'CDK', a Java framework for chemoinformatics. This allows the user to load molecules, evaluate fingerprints, calculate molecular descriptors and so on. In addition, the 'CDK' API allows the user to view structures in 2D.
Package: r-cran-rcdklibs (2.3+dfsg-8)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rcdklibs
Depends: r-base-core (>= 4.0.4-1build1), r-api-4.0, r-cran-rjava (>= 0.9-8), libcdk-java (>= 2.3.134.g1bb9a64587), gettext
Description:  Chemistry Development Kit (CDK) libraries packaged for GNU R An R interface to the Chemistry Development Kit, a Java library for chemoinformatics. Given the size of the library itself, this package is not expected to change very frequently. To make use of the CDK within R, it is suggested that you use the 'rcdk' package. Note that it is possible to directly interact with the CDK using 'rJava'. However 'rcdk' exposes functionality in a more idiomatic way. The CDK library itself is released as LGPL and the sources can be obtained from <https://github.com/cdk/cdk>.
Package: r-cran-rcmdcheck (1.4.0-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rcmdcheck
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-callr (>= 3.1.1.9000), r-cran-cli (>= 3.0.0), r-cran-curl, r-cran-desc (>= 1.2.0), r-cran-digest, r-cran-pkgbuild, r-cran-prettyunits, r-cran-r6, r-cran-rprojroot, r-cran-sessioninfo (>= 1.1.1), r-cran-withr, r-cran-xopen
Description:  Run 'R CMD check' from 'R' and Capture Results Run 'R CMD check' from 'R' programmatically, and capture the results of the individual checks.
Package: r-cran-rcmdr (2.7-2-1)
Section: universe/math
Homepage: https://cran.r-project.org/package=Rcmdr
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-rcmdrmisc (>= 2.7-1), r-cran-car (>= 3.0-1-0), r-cran-effects (>= 4.0-3), r-cran-tcltk2 (>= 1.2-6), r-cran-abind, r-cran-relimp (>= 1.0-5), r-cran-lme4, r-cran-formatr
Description:  GNU R platform-independent basic-statistics GUI This package provides a simple GUI, based on the GNU interface to Tcl/Tk, that is suitable for teaching introductory statistics.
Package: r-cran-rcmdrmisc (2.7-2-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RcmdrMisc
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-car (>= 3.0-0), r-cran-sandwich, r-cran-abind, r-cran-colorspace, r-cran-hmisc (>= 4.1-0), r-cran-mass, r-cran-e1071, r-cran-foreign, r-cran-haven, r-cran-readstata13, r-cran-readxl, r-cran-nortest, r-cran-lattice, r-cran-class, r-cran-nnet
Description:  GNU R package for miscellaneous Rcmdr utilities The RcmdrMisc package provides various statistical, graphics, and data-management functions used by the Rcmdr package in the R Commander GUI for R.
Package: r-cran-rcolorbrewer (1.1-2-3)
Section: universe/math
Homepage: https://cran.r-project.org/package=RColorBrewer
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Description:  GNU R package providing suitable color palettes This package of functions for GNU R provides the 'Color Brewer' palettes for drawing nice maps, or coloring other charts. See http://www.colorbrewer.org for an details on the Color Brewer colouring schemes.
Package: r-cran-rcpp (1.0.8-1)
Section: universe/math
Homepage: http://dirk.eddelbuettel.com/code/rcpp.html
Depends: libc6 (>= 2.33), libgcc-s1 (>= 3.0), libstdc++6 (>= 11), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, littler, r-cran-littler, r-cran-pkgkitten
Description:  GNU R package for Seamless R and C++ Integration The Rcpp package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about Rcpp is provided by several vignettes included in this package, via the Rcpp Gallery site at http://gallery.rcpp.org, the paper by Eddelbuettel and Francois (2011, JSS), and the book by Eddelbuettel (2013, Springer); see 'citation("Rcpp")' for details on these last two.
Package: r-cran-rcppannoy (0.0.19-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RcppAnnoy
Depends: r-base-core (>= 4.1.1-2), r-api-4.0, r-cran-rcpp, libc6 (>= 2.14), libgcc-s1 (>= 3.4), libstdc++6 (>= 9)
Description:  Rcpp bindings for Annoy (approximate nearest neighbors) 'Annoy' is a small C++ library for Approximate Nearest Neighbors written for efficient memory usage as well an ability to load from / save to disk. This package provides an R interface by relying on the 'Rcpp' package, exposing the same interface as the original Python wrapper to 'Annoy'.
Package: r-cran-rcpparmadillo (0.10.8.1.0-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=RcppArmadillo
Depends: libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 9), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-rcpp (>= 0.11.0), r-cran-pkgkitten
Description:  GNU R package for Armadillo C++ linear algebra library Armadillo is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. . A delayed evaluation approach is employed (during compile time) to combine several operations into one, and to reduce (or eliminate) the need for temporaries. This is accomplished through recursive templates and template meta-programming. . This library is useful if C++ has been decided as the language of choice (due to speed and/or integration capabilities), rather than another language. . The RcppArmadillo package includes the header files from the templated Armadillo library. Thus users do not need to install Armadillo itself in order to use RcppArmadillo. . This Armadillo integration provides a nice illustration of the capabilities of the Rcpp package for seamless R and C++ integration. . Armadillo is licensed under the MPL 2.0, while RcppArmadillo (the Rcpp bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of Rcpp.
Package: r-cran-rcppcctz (0.2.10-1)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rcppcctz
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libstdc++6 (>= 11), r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-rcpp (>= 0.11.0)
Description:  GNU R package with 'CCTZ' bindings The package provides the 'CCTZ' timezone library for use by R. 'CCTZ' is a C++ library for translating between absolute and civil times using the rules of a time zone. See <https://github.com/google/cctz> for more details.
Package: r-cran-rcppdate (0.0.3-2)
Section: universe/gnu-r
Homepage: https://cran.r-project.org/package=rcppdate
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Description:  GNU R package with 'Date' bindings The package provides the 'date' C++ library for use by R.  'date' is a C++ header library offering extensive date and time functionality for the C++11, C++14 and C++17 standards written by Howard Hinnant (and included in slightly modified form in C++20).