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Comparison · Analytics

FedData vs GSODR

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

Shared themes:ropenscir-packagebreaking-changes

FedData vs GSODR: at a glance

FeatureFedDataGSODR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesropensci, geospatial, r-package, open-dataropensci, weather-data, r-package, noaa
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is FedData?

FedData has spent two major versions migrating US federal geodata off R's retiring spatial stack.

FedData downloads and standardises US federal geospatial datasets — NLCD, NHD, NED, SSURGO, Daymet, GHCN, PAD-US, NASS — into consistent R objects. Two breaking majors define the current package: 3.0.0 moved returns to sf and raster and pulled data from cloud-optimised GeoTIFFs, and 4.0.0 finished the job by dropping sp and raster entirely for terra and sf. Recent releases are dataset refreshes, most recently PAD-US 4.0.

Read the full FedData trajectory →

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.

Read the full GSODR trajectory →

FedData vs GSODR: editorial side-by-side

F
FedData
ANALYTICS
0.0

FedData has spent two major versions migrating US federal geodata off R's retiring spatial stack.

◆ Current state

FedData downloads and standardises US federal geospatial datasets — NLCD, NHD, NED, SSURGO, Daymet, GHCN, PAD-US, NASS — into consistent R objects. Two breaking majors define the current package: 3.0.0 moved returns to sf and raster and pulled data from cloud-optimised GeoTIFFs, and 4.0.0 finished the job by dropping sp and raster entirely for terra and sf. Recent releases are dataset refreshes, most recently PAD-US 4.0.

◆ Where it's heading

The package tracks two moving targets at once: the R spatial stack, which it has now fully migrated onto terra and sf, and the federal agencies whose URLs, file naming and hosting keep shifting. With the dependency migration finished, releases have shrunk to single-dataset updates such as annual NLCD and PAD-US 4.0, which suggests the structural work is done and the ongoing cost is data-source maintenance.

◆ Prediction

Expect continued small releases pinned to new vintages of the underlying federal datasets, plus fixes when an agency moves or reformats a source; no further dependency-level upheaval is visible in these entries.

G
GSODR
ANALYTICS
0.0

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.

Alternatives to FedData and GSODR

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 FedData or GSODR.

See all FedData alternatives → · See all GSODR alternatives →

Recent activity from FedData and GSODR

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

  1. 1y agoFedDataget_padus() updated to PAD-US 4.0
  2. 1y agoFedDataAnnual NLCD access added; get_nass() retired
  3. 2y agoGSODRnearest_stations() returns metadata and distances
  4. 2y agoGSODRStation history refresh and internal tidying
  5. 2y agoFedDatasp and raster dropped; everything returns terra or sf
  6. 2y agoGSODRBad station-year requests warn instead of failing the batch
  7. 3y agoFedDataGHCN moves to https; NHD handles empty and odd geometries
  8. 3y agoFedDataAll raster writing moves to terra
  9. 3y agoFedDataVersion 3 rebuilds on sf and cloud-optimised GeoTIFFs

Frequently asked questions

What is the difference between FedData and GSODR?

Both compete on the same themes — ropensci, r-package, breaking-changes — within Analytics. FedData and GSODR 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 FedData better than GSODR?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. FedData and GSODR 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 FedData?

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

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.