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Comparison · Infra & APIs

climate vs usmapdata

A side-by-side editorial comparison of climate and usmapdata — release velocity, themes, recent moves, and the top alternatives to consider.

climate vs usmapdata: at a glance

Featureclimateusmapdata
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themesweather-data, data-acquisition, synop-parsing, dependency-reductionr-packages, geospatial, census-data, cartography
Last editorial update2h ago42m ago
WebsiteVisit →Visit →

What is climate?

climate stops scraping and starts parsing: an in-house SYNOP engine replaces the HTML path.

climate pulls meteorological, hydrological and sounding data in R from public providers, chiefly the Polish IMGW-PIB repository, OGIMET and NOAA. Version 1.4.0 changes how it gets that data rather than what it offers: a new synop_parser() reads raw SYNOP messages directly, the OGIMET functions take a parser argument and default to SYNOP for hourly data with HTML kept for daily summaries, and the XML parsing engine has been replaced by in-house code to cut dependencies. The sounding functions also lost their server-side thermodynamic indices when the legacy Wyoming interface shut down.

Read the full climate trajectory →

What is usmapdata?

usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.

usmapdata supplies the boundary data behind usmap's plotting functions. Since 0.4.0 it has been year-indexed: us_map(data_year = ) selects a vintage, and each Census release is added as its own year with older ones still reachable. 1.1.0 adds 2025. 1.0.0 closed the package's longest-standing gap by adding Puerto Rico, retroactively across every vintage.

Read the full usmapdata trajectory →

climate vs usmapdata: editorial side-by-side

C
climate
INFRA · APIS
0.0

climate stops scraping and starts parsing: an in-house SYNOP engine replaces the HTML path.

◆ Current state

climate pulls meteorological, hydrological and sounding data in R from public providers, chiefly the Polish IMGW-PIB repository, OGIMET and NOAA. Version 1.4.0 changes how it gets that data rather than what it offers: a new synop_parser() reads raw SYNOP messages directly, the OGIMET functions take a parser argument and default to SYNOP for hourly data with HTML kept for daily summaries, and the XML parsing engine has been replaced by in-house code to cut dependencies. The sounding functions also lost their server-side thermodynamic indices when the legacy Wyoming interface shut down.

◆ Where it's heading

This package's history is largely a record of upstream providers changing underneath it, and 1.4.0 is the release where it stops absorbing those changes and reduces its exposure to them. The 1.2.9 notes described a 20-second pause between OGIMET requests as a temporary measure and named a SYNOP parsing engine as the intended fix; that engine is now here, and SYNOP messages can be retrieved in bulk rather than one scrape at a time. Owning the parser and dropping XML means the next provider-side HTML change is a smaller problem than the last one was.

◆ Prediction

Expect the SYNOP path to become the default for more of the OGIMET surface as it proves out, with the HTML parser retained only where the provider offers nothing else. Whether the thermodynamic indices return in some form, or stay permanently delegated to thundeR, is the open question these notes leave.

U
usmapdata
INFRA · APIS
2.5

usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.

◆ Current state

usmapdata supplies the boundary data behind usmap's plotting functions. Since 0.4.0 it has been year-indexed: us_map(data_year = ) selects a vintage, and each Census release is added as its own year with older ones still reachable. 1.1.0 adds 2025. 1.0.0 closed the package's longest-standing gap by adding Puerto Rico, retroactively across every vintage.

◆ Where it's heading

The package has settled into a predictable rhythm — one shapefile vintage per year, with structural change rare and clustered. The two changes that mattered were data_year in 0.4.0, which turned a single-vintage dataset into a time series, and the tibble-to-data-frame switch in 0.6.0 that reduced what downstream callers have to depend on.

◆ Prediction

The stated policy — each year added going forward, previous years reachable through data_year — points to a 2026 vintage as the next release. Nothing in these notes suggests further change to the data model.

Alternatives to climate and usmapdata

Other Infra & APIs 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 climate or usmapdata.

See all climate alternatives → · See all usmapdata alternatives →

Recent activity from climate and usmapdata

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 23d agousmapdata2025 Census shapefiles added
  2. 1mo agoclimateIn-house SYNOP parser replaces the HTML and XML path
  3. 6mo agoclimateIMGW header fixes and faster selective station downloads
  4. 10mo agoclimateHydrological telemetry datastore access added
  5. 0y agousmapdataPuerto Rico added across every map vintage
  6. 1y agousmapdataus_map() returns a data frame instead of a tibble
  7. 1y agousmapdata2024 Census shapefiles added
  8. 1y agoclimateCorrupted IMGW archives skipped instead of breaking downloads
  9. 1y agousmapdatadata_year turns the package into a multi-vintage archive
  10. 2y agousmapdataMap data moves to 2023 shapefiles
  11. 3y agoclimateallow_failure keeps CRAN checks green when services are down
  12. 4y agoclimateMultiple station names fixed; units moved to attributes

Frequently asked questions

What is the difference between climate and usmapdata?

They serve adjacent needs but don't currently overlap on shipped themes. usmapdata is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is climate better than usmapdata?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. usmapdata is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to climate?

Top climate alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "climate alternatives" section above for the current picks, or visit /alternatives/climate for the full list with editorial commentary on each.

What are the best alternatives to usmapdata?

Top usmapdata alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "usmapdata alternatives" section above for the current picks, or visit /alternatives/usmapdata for the full list with editorial commentary on each.