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yyjsonr

0.1.22

Fast 'JSON', 'NDJSON' and 'GeoJSON' Parser and Generator

18packages depend
156.9Kdownloads / year
51.7%test coverage
13/13checks pass

Overview

About
Maintained by Mike ChengFirst published 2024-01-175 releasesCRAN page ↗GitHub ↗

A fast 'JSON' parser, generator and validator which converts 'JSON', 'NDJSON' (Newline Delimited 'JSON') and 'GeoJSON' (Geographic 'JSON') data to/from R objects. The standard R data types are supported (e.g. logical, numeric, integer) with configurable handling of NULL and NA values. Data frames, atomic vectors and lists are all supported as data containers translated to/from 'JSON'. 'GeoJSON' data is read in as 'simple features' objects. This implementation wraps the 'yyjson' 'C' library which is available from https://github.com/ibireme/yyjson.

Install

Health

CRAN checks
13OK
Slowest check: 2.0 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 4.39
51.7%
Coverage · measured lines
100%
Documentation · exports
0
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-05-11
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-05-10
    12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-09
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • WARNING2026-03-21
    9 OK · 4 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-17
    13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
92%
References docs
0%

Downloads

156.9K
CRAN downloads in the past year
Rank #701 · ~430/day · ~13.1K/mo
Daily download trend is not available in this view yet.
24.9K30 days
80.3K90 days
156.9K1 year
Compare downloads with other packages →
Also on1.2K r2u3K conda_forge

Repository

Repository
167Stars
16Forks
2Open issues
2Open PRs
0Releases
133Commits
4Contributors
133 commits · Last activity 2026-04-05 · 0% stars, 30d

Stars over time

2025-07-02 · 1542026-07-07 · 167

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/coolbutuseless/yyjsonr on 2026-08-03.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
Dev Container
Docs source (1)
README.Rmd
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (0)
none
LinkingTo (0)
none
Enhances (0)
none

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (2)
Author, Maintainer, Copyright holder
Author, Copyright holder
Contributors (1)
Contributor · added in 0.1.21
Copyright holders (2)
Author, Maintainer, Copyright holder
Author, Copyright holder
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.22Latest
    2026-04-05 · current release · diff ↗
  • 0.1.21
    2025-06-03 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.20
    2024-04-10 · diff ↗
  • 0.1.18
    2024-01-22 · diff ↗
  • 0.1.16
    2024-01-17
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-01-17
Total releases
5 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
1.3 MB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("yyjsonr")
Cheng, M., Tasan, M., & Yuan, Y. (2026). yyjsonr: Fast 'JSON', 'NDJSON' and 'GeoJSON' Parser and Generator (Version 0.1.22) [Computer software]. https://doi.org/10.32614/CRAN.package.yyjsonr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for yyjsonr version 0.1.22 [Data set]. HJJB, LLC. Data release v2026-08-08. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-08, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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