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SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
Comparison · Analytics
GSODR vs sivirep
A side-by-side editorial comparison of GSODR and sivirep — release velocity, themes, recent moves, and the top alternatives to consider.
GSODR vs sivirep: at a glance
What is GSODR?
A weather-station data client that broke one return type to hand back distances instead of bare IDs.
GSODR fetches and tidies NOAA Global Surface Summary of the Day weather data for R. The 4.0.0 release made nearest_stations() return a data.table of full station metadata plus distance in kilometres rather than a character vector of station IDs, with a documented one-liner for anyone who only wanted the IDs. Nothing has shipped since March 2024.
What is sivirep?
sivirep turned Colombia's SIVIGILA surveillance data into a one-call reporting package.
The 1.0.0 release of December 2024 is the substance of this feed: incidence calculation and plotting for the country, departments and municipalities, ethnicity and case-classification breakdowns, multi-year retrospectives, and a Reporte Evento template that assembles them. It was shaped by usability testing and expert review with Colombia's National Institute of Health. The two patches since are fixes, warnings and documentation.
GSODR vs sivirep: editorial side-by-side
GSODR
0.0ANALYTICS
A weather-station data client that broke one return type to hand back distances instead of bare IDs.
◆ Current state
GSODR fetches and tidies NOAA Global Surface Summary of the Day weather data for R. The 4.0.0 release made nearest_stations() return a data.table of full station metadata plus distance in kilometres rather than a character vector of station IDs, with a documented one-liner for anyone who only wanted the IDs. Nothing has shipped since March 2024.
◆ Where it's heading
The package is mature and its releases read as upkeep: refreshing the internal ISD history database, dropping dependencies in favour of base and curl, and hardening the download path against station-year combinations that do not exist. The 4.0.0 change fits the same pattern of returning more structure by default rather than making callers query twice.
◆ Prediction
The most likely next release is another internal station-history refresh; there is no signal of new data sources or analysis features in these entries.
sivirep
0.0ANALYTICS
sivirep turned Colombia's SIVIGILA surveillance data into a one-call reporting package.
◆ Current state
The 1.0.0 release of December 2024 is the substance of this feed: incidence calculation and plotting for the country, departments and municipalities, ethnicity and case-classification breakdowns, multi-year retrospectives, and a Reporte Evento template that assembles them. It was shaped by usability testing and expert review with Colombia's National Institute of Health. The two patches since are fixes, warnings and documentation.
◆ Where it's heading
Work after 1.0.0 has gone into making the report template survive bad input rather than adding analyses — warnings when a municipality or department has no data, handlers that surface import and geo-filter errors during rendering, and an explicit note that first use of any import function needs an internet connection. English-language articles were added alongside the Spanish function interface.
◆ Prediction
Spanish-named functions paired with new English articles point at a widening audience; more translation of the guides looks likelier than new epidemiological methods.
Alternatives to GSODR and sivirep
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either GSODR or sivirep.
marquee
marquee is filling in the typographic details — outlines, border types, real font metrics for underlines.
logrx
A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.
lobstr
R's object inspector is losing its view of the internals as CRAN closes off the private C API.
giscoR
giscoR's 1.0 moved its dataset index into the cache, so new Eurostat releases arrive without a package update.
FedData
FedData has spent two major versions migrating US federal geodata off R's retiring spatial stack.
See all GSODR alternatives → · See all sivirep alternatives →
Recent activity from GSODR and sivirep
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agosivirepReport-template error handling and English articles
- 1y agosivirepLocale tag fix and smaller CRAN examples
- 1y agosivirepIncidence, ethnicity and geographic analysis for SIVIGILA data ⚡
- 2y agoGSODRnearest_stations() returns metadata and distances
- 2y agoGSODRStation history refresh and internal tidying
- 2y agoGSODRBad station-year requests warn instead of failing the batch
Frequently asked questions
What is the difference between GSODR and sivirep?
They serve adjacent needs but don't currently overlap on shipped themes. GSODR and sivirep are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is GSODR better than sivirep?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. GSODR and sivirep are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to GSODR?
Top GSODR alternatives in Analytics are ranked by recent ship velocity. Browse the "GSODR alternatives" section above for the current picks, or visit /alternatives/gsodr for the full list with editorial commentary on each.
What are the best alternatives to sivirep?
Top sivirep alternatives in Analytics are ranked by recent ship velocity. Browse the "sivirep alternatives" section above for the current picks, or visit /alternatives/sivirep for the full list with editorial commentary on each.