56 packages on CRAN
4 packages on GitHub
A fast JSON parser and generator optimized for statistical data and the web. Started out as a fork of 'RJSONIO', but has been completely rewritten in recent versions. The package offers flexible, robust, high performance tools for working with JSON in R and is particularly powerful for building pipelines and interacting with a web API. The implementation is based on the mapping described in the vignette (Ooms, 2014). In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.
The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https, ftps), gzip compression, authentication, and other 'libcurl' goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with http specific tools and logic.
Bindings to OpenSSL libssl and libcrypto, plus custom SSH pubkey parsers. Supports RSA, DSA and EC curves P-256, P-384 and P-521. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
A 'DBI' interface to 'MySQL' / 'MariaDB'. The 'RMySQL' package contains an old implementation based on legacy code from S-PLUS which being phased out. A modern 'MySQL' client based on 'Rcpp' is available from the 'RMariaDB' package on 'Github': <https://github.com/rstats-db/RMariaDB>.
Low level spell checker and morphological analyzer based on the famous 'hunspell' library <https://hunspell.github.io>. The package can analyze or check individual words as well as parse text, latex, html or xml documents. For a more user-friendly interface use the 'spelling' package which builds on this package to automate checking of files, documentation and vignettes in all common formats.
The CommonMark specification defines a rationalized version of markdown syntax. This package uses the 'cmark' reference implementation for converting markdown text into various formats including html, latex and groff man. In addition it exposes the markdown parse tree in xml format. The latest version of this package also adds support for Github extensions including tables, autolinks and strikethrough text.
Utilities based on 'libpoppler' for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents info PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment. The latest version of the package includes a native graphics device for creating in-memory graphics or drawing onto images using pixel coordinates.
Optimized C++ implementations for reading and writing protocol-buffers. Currently supports 'rexp.proto' for serializing R objects and 'geobuf.proto' for geojson data. This lightweight package is complementary to the much larger 'RProtoBuf' package which provides a full featured toolkit for working with protocol-buffers in R.
Wraps the 'AntiWord' utility to extract text from Microsoft Word documents. The utility only supports the old 'doc' format, not the new xml based 'docx' format. Use the 'xml2' package to read the latter.
Powerful replacements for base system2 with consistent behavior across platforms. Supports interruption, background tasks, and full control over 'STDOUT' / 'STDERR' binary or text streams. On Unix systems the package also has functions for evaluating expressions inside a temporary fork. Such evaluations have no side effects on the main R process, and support reliable interrupts and timeouts. This provides the basis for a 'sandboxing' mechanism.
Compatibility wrapper to replace the orphaned package by Romain Francois. New applications should use the 'openssl' or 'base64enc' package instead.
Bindings to 'Tesseract': An OCR engine with unicode (UTF-8) support that can recognize over 100 languages out of the box.
Renders vector-based svg images into high-quality custom-size bitmap arrays using 'librsvg2'. The resulting bitmap can be written to e.g. png, jpeg or webp format. In addition, the package can convert images directly to various formats such as pdf or postscript.
High performance in-memory http request parser for application/json, multipart/form-data, and application/x-www-form-urlencoded. Includes live demo of hosting and parsing multipart forms with either 'httpuv' or 'Rhttpd'.
Lossless webp images are 26% smaller in size compared to PNG. Lossy webp images are 25-34% smaller in size compared to JPEG. This package reads and writes webp images into a 3 (rgb) or 4 (rgba) channel bitmap array using conventions from the 'jpeg' and 'png' packages.
High-performance 'MongoDB' client based on 'libmongoc' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication. The online user manual provides an overview of the available methods in the package: <https://jeroen.github.io/mongolite/>.
Portable, light-weight data frame to 'xlsx' exporter based on 'libxlsxwriter'. No 'Java' or 'Excel' required.
A system for embedded scientific computing and reproducible research with R. The OpenCPU server exposes a simple but powerful HTTP api for RPC and data interchange with R. This provides a reliable and scalable foundation for statistical services or building R web applications. The OpenCPU server runs either as a single-user development server within the interactive R session, or as a multi-user Linux stack based on Apache2. The entire system is fully open source and permissively licensed. The OpenCPU website has detailed documentation and example apps.
An extension for the 'xml2' package to transform XML documents by applying an 'xslt' style-sheet.
Interface to the 'ZeroMQ' lightweight messaging kernel (see <http://www.zeromq.org/> for more information).
A collection of specifications to securely transfer claims such as authorization information between parties. A JSON Web Token (JWT) contains claims used by systems to apply access control rules to its resources. One potential use case of the JWT is authentication and authorization for a system that exposes resources through OAuth 2.0.
Wraps the 'unrtf' utility to extract text from RTF files. Supports document conversion to HTML, LaTeX or plain text. Output in HTML is recommended because 'unrtf' has limited support for converting between character encodings.
Bindings to the 'blowfish' password hashing algorithm derived from the 'OpenBSD' implementation.
Bindings to 'libsodium': a modern, easy-to-use software library for encryption, decryption, signatures, password hashing and more. Sodium uses curve25519, a state-of-the-art Diffie-Hellman function by Daniel Bernstein, which has become very popular after it was discovered that the NSA had backdoored Dual EC DRBG.
Bindings to Google's C++ library Compact Language Detector 2 (see <https://github.com/cld2owners/cld2#readme> for more information). Probabilistically detects over 80 languages in plain text or HTML. For mixed-language input it returns the top three detected languages and their approximate proportion of the total classified text bytes (e.g. 80% English and 20% French out of 1000 bytes). There is also a 'cld3' package on CRAN which uses a neural network model instead.
Spell checking common document formats including latex, markdown, manual pages, and description files. Includes utilities to automate checking of documentation and vignettes as a unit test during 'R CMD check'. Both British and American English are supported out of the box and other languages can be added. In addition, packages may define a 'wordlist' to allow custom terminology without having to abuse punctuation.
A lossless compressed data format that uses a combination of the LZ77 algorithm and Huffman coding. Brotli is similar in speed to deflate (gzip) but offers more dense compression.
Google's Compact Language Detector 3 is a neural network model for language identification and the successor of 'cld2' (available from CRAN). The algorithm is still experimental and takes a novel approach to language detection with different properties and outcomes. It can be useful to combine this with the Bayesian classifier results from 'cld2'. See <https://github.com/google/cld3#readme> for more information.
Bindings to the 'libgraphqlparser' C++ library. Currently parses GraphQL and exports the AST in JSON format.
Bindings to GnuPG for working with OpenGPG (RFC4880) cryptographic methods. Includes utilities for public key encryption, creating and verifying digital signatures, and managing your local keyring. Note that some functionality depends on the version of GnuPG that is installed on the system. On Windows this package can be used together with 'GPG4Win' which provides a GUI for managing keys and entering passphrases.
Some canned plots and functions designed for the mobilize project. Designed to be called remotely.
R Client for Ohmage 2 server. Implements basic R functions to retrieve and process data.
Bindings to system utilities found in most Unix systems such as POSIX functions which are not part of the Standard C Library.
Bindings to various methods in the kernel for enforcing security restrictions. AppArmor can apply mandatory access control (MAC) policies on a given task (process) via security profiles with detailed ACL definitions. In addition the package has kernel bindings for setting the process hardware resource limits (rlimit), uid, gid, affinity and priority. The high level R function 'eval.secure' builds on these methods to do dynamic sandboxing: it evaluates a single R expression within a temporary fork which acts as a sandbox by enforcing fine grained restrictions without affecting the main R process. Recent versions on this package can also be installed on systems without libapparmor, in which case some features are automatically disabled.
Convenience functions for reading and writing datasets following the 'data packagist' format.
Some R code for the OpenCPU framework.
Programmatic interface to the Dat system for data versioning and replication.
Provides R bindings to the 'Sundown' 'Markdown' rendering library (https://github.com/vmg/sundown). 'Markdown' is a plain-text formatting syntax that can be converted to 'XHTML' or other formats. See http://en.wikipedia.org/wiki/Markdown for more information about 'Markdown'.
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.)
Work with XML files using a simple, consistent interface. Built on top of the 'libxml2' C library.
Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <http://codecov.io> or 'Coveralls' <http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.
Support for simple features, a standardized way to encode spatial vector data. Binds to GDAL for reading and writing data, to GEOS for geometrical operations, and to Proj.4 for projection conversions and datum transformations.
Useful tools for writing vector graphics devices.
Classes for 'GeoJSON' to make working with 'GeoJSON' easier. Includes S3 classes for 'GeoJSON' classes with brief summary output, and a few methods such as extracting and adding bounding boxes, properties, and coordinate reference systems; linting through the 'geojsonlint' package; and serializing to/from 'Geobuf' binary 'GeoJSON' format.
Client for 'jq', a JSON processor (<http://stedolan.github.io/jq/>), written in C. 'jq' allows the following with JSON data: index into, parse, do calculations, cut up and filter, change key names and values, perform conditionals and comparisons, and more.
Query the main 'R' 'SVN' repository to find the versions 'r-release' and 'r-oldrel' refer to, and also all previous 'R' versions and their release dates.
Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal 'RPC' protocols and file formats. Additional documentation is available in two included vignettes one of which corresponds to our 'JSS' paper (2016, <doi:10.18637/jss.v071.i02>. Either version 2 or 3 of the 'Protocol Buffers' 'API' is supported.
Implements a 'DBI'-compliant interface to 'MariaDB' (<https://mariadb.org/>) and 'MySQL' (<https://www.mysql.com/>) databases.
Allows using some services of Monkeylearn <http://monkeylearn.com/> which is a Machine Learning platform on the cloud for text analysis (classification and extraction).
Provides methods to parse, query and serialize information stored in the Resource Description Framework (RDF). RDF is described at <http://www.w3.org/TR/rdf-primer>. This package supports RDF by implementing an R interface to the Redland RDF C library, described at <http://librdf.org/docs/api/index.html>. In brief, RDF provides a structured graph consisting of Statements composed of Subject, Predicate, and Object Nodes.
Client for accessing data journalism APIs from ProPublica <http://www.propublica.org/>.
R bindings for Google's s2 library for geometric calculations on the sphere.
Signing and verification of R packages.
Fully 'DBI'-compliant 'Rcpp'-backed interface to 'PostgreSQL' <https://www.postgresql.org/>, an open-source relational database.