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ggquiver vs rnpn

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

ggquiver vs rnpn: at a glance

Featureggquiverrnpn
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2 extension, vector fields, data visualization, coordinate systemsphenology, api-client, ecological-data, data-cleaning
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is ggquiver?

ggquiver returned after four years to make arrows respect ggplot's own scales.

A small ggplot2 extension for quiver and vector-field plots. The 0.3.x line in late 2021 was about making arrows behave correctly outside plain Cartesian coordinates — non-Cartesian coordinate systems, ggmap backgrounds, arrow sizing and angles. Then nothing for over four years, until 0.4.0 made arrows honour scale transformations on the x and y aesthetics and exposed grid::arrow()'s appearance options.

Read the full ggquiver trajectory →

What is rnpn?

The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.

rnpn is the R client for the USA National Phenology Network, retrieving observation records, phenometrics and gridded model layers. Version 1.3.0 in March 2025 replaced nearly all of its infrastructure at once — sp and raster dropped, terra made optional, XML swapped for xml2, plyr for dplyr, httr and curl for httr2 — and changed what functions return, with tibbles in place of data.tables and empty tibbles in place of NULL on error. The two releases since have completed the missing-value handling and restored performance lost in the transition.

Read the full rnpn trajectory →

ggquiver vs rnpn: editorial side-by-side

G
ggquiver
ANALYTICS
0.0

ggquiver returned after four years to make arrows respect ggplot's own scales.

◆ Current state

A small ggplot2 extension for quiver and vector-field plots. The 0.3.x line in late 2021 was about making arrows behave correctly outside plain Cartesian coordinates — non-Cartesian coordinate systems, ggmap backgrounds, arrow sizing and angles. Then nothing for over four years, until 0.4.0 made arrows honour scale transformations on the x and y aesthetics and exposed grid::arrow()'s appearance options.

◆ Where it's heading

The consistent theme across both eras is deferring to ggplot2 rather than drawing on top of it: coordinate systems first, then scale transformations, then arrow styling handed to grid. Development is episodic — years pass, then a release that closes the gap between what the geom does and what a user expects from any other layer. The changelog is entirely correctness and integration work; there is no sign of the package growing new plot types.

◆ Prediction

The entries only support a narrow read: further releases will likely keep closing ggplot2 integration gaps as they are reported, but the four-year gap means cadence is not predictable from this feed.

R
rnpn
ANALYTICS
0.0

The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.

◆ Current state

rnpn is the R client for the USA National Phenology Network, retrieving observation records, phenometrics and gridded model layers. Version 1.3.0 in March 2025 replaced nearly all of its infrastructure at once — sp and raster dropped, terra made optional, XML swapped for xml2, plyr for dplyr, httr and curl for httr2 — and changed what functions return, with tibbles in place of data.tables and empty tibbles in place of NULL on error. The two releases since have completed the missing-value handling and restored performance lost in the transition.

◆ Where it's heading

The package is being brought onto the current R stack and made honest about missing data, and those are the same project. Converting the -9999 sentinel to NA started in 1.3.0 for download functions and was extended to all columns in 1.4.1; the string "emptyvalue" got the same treatment. Beyond the migration, the feature additions are modest and specific to the domain, such as custom start and end dates for defining a phenometrics season.

◆ Prediction

With the dependency migration finished and sentinel handling now applied across all columns, the next releases most likely return to domain features and to fixes surfaced by the server side, which has already prompted work through migrations and backend moves. The removed progress indicator is an acknowledged regression that may come back.

Alternatives to ggquiver and rnpn

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 ggquiver or rnpn.

See all ggquiver alternatives → · See all rnpn alternatives →

Recent activity from ggquiver and rnpn

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

  1. 6mo agoggquiverArrows respect scale transformations and grid arrow styling
  2. 11mo agornpnSentinel -9999 now converted to NA across all columns
  3. 1y agornpnCustom season windows for phenometrics, and a speed regression fixed
  4. 1y agornpnDependency stack and return types replaced wholesale
  5. 1y agornpnBackfilled notes for seven earlier maintenance releases
  6. 4y agoggquiverArrow scaling and centered-arrow angle fixes
  7. 4y agoggquiverFix for resized vectors via vecsize
  8. 4y agoggquiverNon-Cartesian coordinates and ggmap backgrounds supported

Frequently asked questions

What is the difference between ggquiver and rnpn?

They serve adjacent needs but don't currently overlap on shipped themes. ggquiver and rnpn 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 ggquiver better than rnpn?

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

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

What are the best alternatives to rnpn?

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