R Observatory: Metrics for rstac version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

rstac

1.0.1

Client Library for SpatioTemporal Asset Catalog

9packages depend

27.9Kdownloads / year

45.1%test coverage

0/13checks pass

Overview

About

Maintained by Felipe CarvalhoFirst published 2020-12-1412 releasesCRAN page ↗GitHub ↗

Provides functions to access, search and download spacetime earth observation data via SpatioTemporal Asset Catalog (STAC). This package supports the version 1.0.0 (and older) of the STAC specification (https://github.com/radiantearth/stac-spec). For further details see Simoes et al. (2021) doi:10.1109/IGARSS47720.2021.9553518.

Install

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

install.packages("rstac", 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("brazil-data-cube/rstac")

Development version from brazil-data-cube/rstac. 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-rstac

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-rstac

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-rstac

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13NOTE

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc
NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc
NOTE r-devel-windows-x86_64
NOTE r-oldrel-macos-arm64
NOTE r-oldrel-macos-x86_64
NOTE r-oldrel-windows-x86_64
NOTE r-patched-linux-x86_64
NOTE r-release-linux-x86_64
NOTE r-release-macos-arm64
NOTE r-release-macos-x86_64
NOTE r-release-windows-x86_64

Slowest check: 1.7 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.48

45.1%

Coverage · measured lines

98%

Documentation · exports

9

Dependencies · direct

Check history

NOTE2026-03-10
3 OK · 11 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 900 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 18%
Documented parameters: 96%
Return-value docs: 100%
References docs: 0%

Downloads

27.9K

CRAN downloads in the past year

Rank #2,743 · ~77/day · ~2.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.6K30 days

6K90 days

27.9K1 year

Compare downloads with other packages →

Also on623 r2u27 autocran3.2K conda_forge34 c2d4u

Repository

GitHub ↗ brazil-data-cube/rstac

81Stars

21Forks

5Open issues

0Open PRs

13Releases

1,074Commits

11Contributors

rspatiotemporal-asset-catalogstacgeospatial

1,074 commits · Last activity 2026-05-07 · +1.3% stars, 30d

Stars over time

2025-06-17 · 742026-08-11 · 81

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/brazil-data-cube/rstac on 2026-08-16.

Continuous integration (2)

GitHub ActionsAppVeyor

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

Coverage (1)

Codecov

Show all practices

Governance and community (1)

Issue templates

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (9)

utilshttr jsonlite crayon sf png jpeggridmagrittr

LinkingTo (0)

none

Suggests (10)

lifecycle testthat knitr tmap leaflet stars slider ggplot2 purrr dplyr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

9direct

0indirect

greenR greenSD rcrisp rsi sits stacr BFS earthdatalogin mapme.biodiversity

Code & Tests

People & History

People (4)

Maintainer (1)

Felipe Carvalho

Author, Maintainer · added in 0.9.2

Authors (3)

Felipe Carvalho

Author, Maintainer · added in 0.9.2

Brazil Data Cube Team

Author

Rolf Simoes

Author · added in 0.9.2

Copyright holders (1)

National Institute for Space Research (INPE)

Copyright holder

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.0.1Latest
2024-07-18 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
1.0.0
2024-02-14 · diff ↗
0.9.2-5
2024-02-11 · diff ↗
0.9.2-4
2023-06-14 · diff ↗
0.9.2-3
2023-05-10 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.9.2-2
2023-02-01 · diff ↗
0.9.2-1
2023-01-22 · diff ↗
0.9.2
2023-01-20 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.9.1-5
2021-10-31 · diff ↗
0.9.1-4
2021-07-10 · diff ↗
R
R 4.1.0 released · 2021-05-18

Show 3 earlier events

0.9.1
2021-04-16 · diff ↗
0.9.0
2020-12-14
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-12-14
Total releases: 12 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5
Download size: 236 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Analysis of Spatial Data Handling and Analyzing Spatio-Temporal Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rstac")

Format

Carvalho, F., Brazil Data Cube Team, National Institute for Space Research (INPE), & Simoes, R. (2024). rstac: Client Library for SpatioTemporal Asset Catalog (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.rstac

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rstac version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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