R-httpuv - HTTP and WebSocket server library

Property Value
Distribution NetBSD 7.2
Repository NetBSD amd64
Package filename R-httpuv-1.5.1nb1.tgz
Package name R-httpuv
Package version 1.5.1nb1
Package release -
Package architecture amd64
Package type tgz
Category R math www
Homepage https://CRAN.R-project.org/package=httpuv
License gnu-gpl-v2 OR gnu-gpl-v3
Maintainer -
Download size 432.03 KB
Installed size 1007.58 KB
Provides low-level socket and protocol support for handling HTTP and
WebSocket requests directly from within R. It is primarily intended as
a building block for other packages, rather than making it
particularly easy to create complete web applications using httpuv
alone. httpuv is built on top of the libuv and http-parser C
libraries, both of which were developed by Joyent, Inc. (See LICENSE
file for libuv and http-parser license information.)


Package Version Architecture Repository
R-httpuv - - -


Name Value
R >= 2.2.1nb2
R-BH >=
R-R6 >= 2.4.0
R-Rcpp >= 1.0.2
R-later >= 0.8.0
R-promises >= 1.0.1
libuv >= 1.6


Type URL
Mirror ftp.netbsd.org
Binary Package R-httpuv-1.5.1nb1.tgz
Source Package R-httpuv

Install Howto

Install R-httpuv tgz package:

# pkg_add R-httpuv



See Also

Package Description
R-httr-1.4.1.tgz Tools for working with URLs and HTTP
R-hwde-0.67.tgz Models and tests for departure from Hardy-Weinberg equilibrium
R-igraph- Network analysis and visualization
R-ini-0.3.1.tgz Read and write '.ini' files
R-inline-0.3.15.tgz Functions to Inline C, C++, Fortran Function Calls from R
R-intervals-0.15.1.tgz Tools for working with points and intervals
R-iterators-1.0.12.tgz Provides iterator construct
R-jsonlite-1.6.tgz Robust, high performance JSON parser and generator
R-knitr-1.23.tgz General-purpose package for dynamic report generation in R
R-labeling-0.3.tgz Axis labeling
R-later-0.8.0.tgz Utilities for delaying function execution
R-latex2exp-0.4.0.tgz Use LaTeX expressions in plots
R-latticeExtra-0.6.28.tgz Extra graphical utilities based on lattice
R-lazyeval-0.2.2.tgz Lazy (non-standard) evaluation
R-lme4-1.1.21.tgz Linear mixed-effects models using Eigen and S4