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Comparison · Infra & APIs

ggInterval vs rapr

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

Shared themes:r-package

ggInterval vs rapr: at a glance

FeatureggIntervalrapr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessymbolic-data-analysis, interval-data, ggplot2, data-visualizationremote-sensing, rangeland, geospatial, api-client
Last editorial update1h ago1d ago
WebsiteVisit →Visit →

What is ggInterval?

Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.

ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.

Read the full ggInterval trajectory →

What is rapr?

rapr generalises its Rangeland Analysis Platform API access one endpoint at a time

rapr pulls Rangeland Analysis Platform data into R — vegetation cover and production rasters derived from Landsat and Sentinel-2, plus the tabular summary APIs. The 1.1.3 release replaces the single-purpose table function with a general get_rap_table() covering the cover, coverMeteorology, production and production16day endpoints. The package reached CRAN in 2025 and is maintained by brownag, who also maintains the GeoPackage interface gpkg.

Read the full rapr trajectory →

ggInterval vs rapr: editorial side-by-side

G
ggInterval
INFRA · APIS
0.0

Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.

◆ Current state

ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.

◆ Where it's heading

The package is consolidating an interface that had drifted. Renaming seven functions in a single release is the clearest signal — the naming was inconsistent enough to be worth breaking, and the vignette rewrite that followed suggests discoverability was the underlying complaint. Underneath that, the additions are steady and narrow: each release brings interval-aware versions of plot types that already exist for point data, which is the whole premise of the package.

◆ Prediction

The pattern of porting one more standard plot type into interval-aware form each release is the most likely continuation; the tsplot compatibility in the latest version hints that time-series interval data is the direction attracting attention.

R
rapr
INFRA · APIS
0.0

rapr generalises its Rangeland Analysis Platform API access one endpoint at a time

◆ Current state

rapr pulls Rangeland Analysis Platform data into R — vegetation cover and production rasters derived from Landsat and Sentinel-2, plus the tabular summary APIs. The 1.1.3 release replaces the single-purpose table function with a general get_rap_table() covering the cover, coverMeteorology, production and production16day endpoints. The package reached CRAN in 2025 and is maintained by brownag, who also maintains the GeoPackage interface gpkg.

◆ Where it's heading

The shape is familiar for a young API client: add access to one endpoint, then generalise it once a second endpoint proves the pattern. get_rap_production16day_table() arrived in 1.1.0 and was deprecated three releases later in favour of a product argument. Between those, the work was error handling — empty geometries, server-side HTTP failures, warning timing — the unglamorous half of wrapping a remote service. The 1.0.0 release had already set the ambition by exposing both the 30m Landsat and 10m Sentinel-2 sources behind one argument.

◆ Prediction

Expect the remaining RAP endpoints to be folded into get_rap_table() as they are needed, and the deprecated 16-day function to be removed once the general interface has been out long enough.

Alternatives to ggInterval and rapr

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 ggInterval or rapr.

See all ggInterval alternatives → · See all rapr alternatives →

Recent activity from ggInterval and rapr

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

  1. 3mo agoggIntervalInterval correlation heatmaps and time-series-compatible line plots
  2. 5mo agoraprUnified get_rap_table() replaces the single-endpoint function
  3. 6mo agoggIntervalExamples switched to donttest per CRAN review
  4. 6mo agoggIntervalVignette rewritten to cover every plot function
  5. 6mo agoggIntervalSeven plot functions renamed for consistency
  6. 6mo agoraprrapr 1.1.2
  7. 9mo agoraprTabular 16-day production API access, plus error handling
  8. 1y agoraprCRAN release adds 10m Sentinel-2 source and grid templating
  9. 1y agoraprFinal 0.1.x snapshot before the 1.x rewrite

Frequently asked questions

What is the difference between ggInterval and rapr?

Both compete on the same themes — r-package — within Infra & APIs. ggInterval and rapr 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 ggInterval better than rapr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggInterval and rapr 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to ggInterval?

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

What are the best alternatives to rapr?

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