R Observatory: Metrics for ChinAPIs version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ChinAPIs

0.2.0Package record

Access Chinese Data via Public APIs and Curated Datasets

0packages depend

3.1Kdownloads / year

32.5%test coverage

13/13flavors OK

Overview

About

Maintained by Renzo Caceres RossiCRAN page ↗GitHub ↗Website ↗Issues ↗

Provides functions to access data from public RESTful APIs including 'Nager.Date' and 'World Bank API', retrieving real-time or historical data related to China, such as holidays and economic indicators. Additionally, the package includes one of the largest curated collections of open datasets focused on China and Hong Kong, covering topics such as air quality, demographics, input-output tables, epidemiology, political structure, names, and social indicators. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'Nager.Date' https://date.nager.at/Api, 'World Bank API' https://datahelpdesk.worldbank.org/knowledgebase/articles/889392.

Changes in 0.2.0

Breaking Changes

**Removed get_country_info_cn()** from the package. This function depended on the 'REST Countries' API v3.1 endpoint, which was deprecated by its provider. The replacement v5 endpoint now requires an API key, which is incompatible with CRAN's policy that packages using Internet resources must work without user-supplied credentials. As a consequence, all associated tests, documentation, and examples have been removed, and references to the 'REST Countries API' have been removed from the package (DESCRIPTION, README.md, vignette).
The package now integrates **two** APIs instead of three: **World Bank API** and **Nager.Date API**.

---

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("ChinAPIs", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("lightbluetitan/chinapis")

Development version from lightbluetitan/chinapis. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-chinapis

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-ChinAPIs

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-ChinAPIs

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.6 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-09
ERROR12 OK, 1 ERROR2026-06-12
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 405 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileYes · software entry onlyWebsiteYes · pkgdown

Help pages: 47includes a package overview page
Examples that run: 100%11 run in a plain check (11 of them under a condition)
Exported functions with examples: 24%
Documented parameters: 3%
Return-value docs: 24%
Help pages citing references: 0%

Vignettes (1)

ChinAPIs: Access Chinese Data via Public APIs and Curated Datasets HTML

How these are measured

Downloads

3.1K

CRAN downloads in the past year

Rank #9,144 · ~9/day · ~261/mo

Releases R versions

Daily download trend is not available in this view yet.

37130 days

1.1K90 days

3.1K1 year

Compare downloads with other packages →

Also on91 r2u10 autocran

How downloads are counted

Repository

lightbluetitan/chinapis ↗Account: lightbluetitan

4Stars

0Forks

0Open issues

0Open PRs

0Releases

6Commits

1Commit identities

6 commits · Last activity 2026-07-02 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2026-05-16 · 12026-07-29 · 4

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/lightbluetitan/chinapis on 2026-10-21.

Docs source (2)

pkgdown

GitHub Pages site last deployed 2026-07-02

pkgdown site last built 2026-07-02

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Installing ChinAPIs adds 27 packages (16 with compiled code, 11 MB of source tarballs). Heaviest: farver 1.2 MB, viridisLite 1.2 MB, openssl 1.1 MB.

Depends (1)

R >= 4.1.0

Imports (6)

utilshttr jsonlite dplyr scales tibble

LinkingTo (0)

none

Suggests (4)

ggplot2 testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Renzo Caceres Rossi

Author, Maintainer since 0.1.0 (2025)

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2026-02-12
archivedRemoved from CRAN
2026-02-12
policy violation On Internet access
0.2.0Latest
record
2026-02-12 · current release · diff ↗ ·
removed 1 export
get_country_info_cn
0.1.1
record
2026-02-12 · diff ↗
0.1.0
record
2025-08-26
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-08-26
Total releases: 3 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 1.5 MB / 35 files
Download size: 1.6 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("ChinAPIs")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ChinAPIs version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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