R Observatory: Metrics for fedstatAPIr version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

fedstatAPIr

1.1.0Package record

Unofficial API for Fedstat (Rosstat EMISS System) for Automatic and Efficient Data Queries

0packages depend

3.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Denis KrylovCRAN page ↗GitHub ↗Issues ↗

An API for automatic data queries to the fedstat https://www.fedstat.ru, using a small set of functions with a common interface.

Changes in 1.1.0

Breaking changes

Unspecified filter fields with multiple possible values now produce an informative error instead of silently selecting all values. Use "*" to explicitly select all values for a filter field. Single-value-only filters are still auto-selected. The error message lists all unspecified fields with an example of how to fix them.
Minimum R version raised from 2.10 to 3.5.0 (required by serialized data format).

Bug fixes

EMISS moved data download endpoint from /indicator/data.do to /indicator/downloadData.do. All download functions updated automatically -- no user code changes required.
Fixed pre-existing typo ObsValues -> ObsValue in fedstat_parse_sdmx_to_table() that caused the numeric parsing safety check to silently never fire.

New features

fedstat_data_load_with_filters() now automatically retries the full download pipeline (GET + filter + POST) on transient failures, re-fetching a fresh CSRF token on each attempt.
CSRF token is automatically extracted from the indicator page during fedstat_get_data_ids() and passed through the pipe chain via data.frame attributes.
HTTP session (cookies) are now persisted between the page GET and data POST via httr::handle(), also passed as a data.frame attribute.
Improved error messages: specific diagnostics for HTTP 302 (rejected filters), 403 (anti-bot), 503 (overloaded), HTML-instead-of-data responses, and CSRF token failures.
fedstat_parse_sdmx_to_table() now detects HTML error pages before attempting XML parsing, giving clearer error messages.

Show all changes in 1.1.0Hide the rest of the changes in 1.1.0

Other changes

Honest User-Agent header (fedstatAPIr/1.1.0) is now set by default. Users can override via ... arguments or httr::set_config().
fedstat_post_data_ids_filtered() no longer retries POST requests internally (CSRF tokens are single-use). Use the wrapper fedstat_data_load_with_filters() for automatic retries, or re-run from fedstat_get_data_ids() when using individual functions.
Refreshed fedstat_indicators_names_database (5224 indicators, new schema: department, group, id, title, hidden).

From NEWS.md in the release

Install

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

install.packages("fedstatAPIr", 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("DenchPokepon/fedstatAPIr")

Development version from DenchPokepon/fedstatAPIr. 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-fedstatapir

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-fedstatAPIr

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-fedstatAPIr

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: 55 s · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.0

READMEYes · 1,024 wordsVignettesNoNEWSYes · 100% structured · mentions 1.1.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 11 (2 internal)includes a package overview page
Examples that run: 0%6 never run
Exported functions with examples: 86%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

3.1K

CRAN downloads in the past year

Rank #11,923 · ~9/day · ~261/mo

Releases R versions

Daily download trend is not available in this view yet.

31830 days

92390 days

3.1K1 year

Compare downloads with other packages →

Also on82 r2u6 autocran

How downloads are counted

Repository

denchpokepon/fedstatapir ↗Account: DenchPokepon

29Stars

2Forks

0Open issues

0Open PRs

5Releases

48Commits

2Commit identities

api-wrapperapidata

48 commits · Last activity 2026-09-04 · +3.6% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 35
Median days to close, 50 most recently updated closed PRs: 31

Stars over time

2025-06-10 · 262026-10-23 · 29

How these are measured

PracticesBeta

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

Checks run against github.com/denchpokepon/fedstatapir on 2026-10-22.

Docs source (1)

README.Rmd

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing fedstatAPIr adds 15 packages (13 with compiled code, 12 MB of source tarballs). Heaviest: data.table 5.7 MB, Rcpp 1.8 MB, openssl 1.1 MB.

Depends (1)

R >= 3.5.0

Imports (8)

httr jsonlite xml2 readsdmx magrittrutilsmethodsdata.table

LinkingTo (0)

none

Suggests (0)

none

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 (2)

Denis Krylov

Author, Maintainer since 0.1 (2021)

Dmitry Kibalnikov

Author · added in 1.0.0

Releases (5)

Pick two releases to compare their code metrics.

1.1.0Latest
record
2026-09-04 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.0.3
record
2023-03-30 · diff ↗
1.0.0
record
2023-03-10 · diff ↗ ·
removed 3 exports
fedstat_check_data_update, fedstat_get_data_ids_special_cases_handle, fedstat_prepare_reference_data_for_check_data_update

added 1 export
fedstat_indicator_info
R
R 4.2.0 released · 2022-04-22
0.2.0
record
2022-01-14 · diff ↗ ·
added 2 exports
fedstat_check_data_update, fedstat_prepare_reference_data_for_check_data_update
0.1
record
2021-07-19
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-07-19
Total releases: 5 / 5 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 93 KB / 1 file
Download size: 121 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fedstatAPIr")

Format

Krylov, D., & Kibalnikov, D. (2026). fedstatAPIr: Unofficial API for Fedstat (Rosstat EMISS System) for Automatic and Efficient Data Queries (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.fedstatAPIr

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 fedstatAPIr version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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