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jeroen

jsonlite:A Simple and Robust JSON Parser and Generator for R

A reasonably fast JSON parser and generator, optimized for statistical data and the web. Offers simple, flexible 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.

Maintained by Jeroen Ooms. Last updated 3 days ago.

jsonparser

384 stars 21.26 score 27k scripts 8.6k dependents

alexcb

rjson:JSON for R

Converts R object into JSON objects and vice-versa.

Maintained by Alex Couture-Beil. Last updated 6 months ago.

cpp

21 stars 14.54 score 7.4k scripts 852 dependents

eddelbuettel

RProtoBuf:R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)

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>. A sufficiently recent version of 'Protocol Buffers' library is required; currently version 3.3.0 from 2017 is the stated minimum.

Maintained by Dirk Eddelbuettel. Last updated 13 days ago.

c-plus-plusprotocol-buffersprotobufcpp

73 stars 11.44 score 126 scripts 21 dependents

crunch-io

crunch:Crunch.io Data Tools

The Crunch.io service <https://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.

Maintained by Greg Freedman Ellis. Last updated 8 days ago.

9 stars 10.47 score 200 scripts 2 dependents

open-eo

openeo:Client Interface for 'openEO' Servers

Access data and processing functionalities of 'openEO' compliant back-ends in R.

Maintained by Florian Lahn. Last updated 2 months ago.

openeoopeneo-user

65 stars 8.65 score 128 scripts

dipterix

dipsaus:A Dipping Sauce for Data Analysis and Visualizations

Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using the 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.

Maintained by Zhengjia Wang. Last updated 5 days ago.

cpp

13 stars 8.02 score 85 scripts 3 dependents

bioc

BrowserViz:BrowserViz: interactive R/browser graphics using websockets and JSON

Interactvive graphics in a web browser from R, using websockets and JSON.

Maintained by Arkadiusz Gladki. Last updated 5 months ago.

visualizationthirdpartyclient

2 stars 6.28 score 20 scripts 2 dependents

cran

RJSONIO:Serialize R Objects to JSON, JavaScript Object Notation

This is a package that allows conversion to and from data in Javascript object notation (JSON) format. This allows R objects to be inserted into Javascript/ECMAScript/ActionScript code and allows R programmers to read and convert JSON content to R objects. This is an alternative to rjson package. Originally, that was too slow for converting large R objects to JSON and was not extensible. rjson's performance is now similar to this package, and perhaps slightly faster in some cases. This package uses methods and is readily extensible by defining methods for different classes, vectorized operations, and C code and callbacks to R functions for deserializing JSON objects to R. The two packages intentionally share the same basic interface. This package (RJSONIO) has many additional options to allow customizing the generation and processing of JSON content. This package uses libjson rather than implementing yet another JSON parser. The aim is to support other general projects by building on their work, providing feedback and benefit from their ongoing development.

Maintained by CRAN Team. Last updated 3 days ago.

cpp

2 stars 6.07 score 77 dependents

neotomadb

neotoma2:Working with the Neotoma Paleoecology Database

Access and manipulation of data using the Neotoma Paleoecology Database. <https://api.neotomadb.org/api-docs/>.

Maintained by Dominguez Vidana Socorro. Last updated 8 months ago.

earthcubeneotomansfpaleoecology

8 stars 5.35 score 56 scripts

cmmr

webqueue:Multicore HTTP Server

Distributes HTTP requests among a pool of background R processes. Supports timeouts and interrupts of requests to ensure that CPU cores are utilized effectively.

Maintained by Daniel P. Smith. Last updated 18 days ago.

2 stars 5.15 score

tercen

rtson:Typed JSON

TSON, short for Typed JSON, is a binary-encoded serialization of JSON like document that support JavaScript typed data (https://github.com/tercen/TSON).

Maintained by Alexandre Maurel. Last updated 6 years ago.

18 stars 4.50 score 35 scripts

zedoul

jsonstat:Interface to 'JSON-stat'

Interface to 'JSON-stat' <https://json-stat.org/>, a simple lightweight 'JSON' format for data dissemination.

Maintained by Kim Seonghyun. Last updated 7 years ago.

3.00 score 20 scripts

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