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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 4 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

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 4 days ago.

cpp

2 stars 6.07 score 77 dependents

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

ttspackage

trustedtimestamping:Create Trusted Timestamps of Datasets and Files

Trusted Timestamps (tts) are created by incorporating a hash of a file or dataset into a transaction on the decentralized blockchain (Stellar network). The package makes use of a free service provided by <https://stellarapi.io>.

Maintained by Peter Muller. Last updated 6 years ago.

3 stars 3.18 score

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