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Comparison · Analytics

ggquiver vs healthyR.data

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

ggquiver vs healthyR.data: at a glance

FeatureggquiverhealthyR.data
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2 extension, vector fields, data visualization, coordinate systemsr-package, healthcare-data, cms, api-client
Last editorial update4h 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 healthyR.data?

From a bundled hospital dataset to a live CMS API client.

healthyR.data supplies the data layer for the healthyverse packages. It began by shipping hospital data inside the package and now fetches from CMS and provider endpoints at call time through get_cms_meta_data(), fetch_cms_data(), and their provider counterparts. The most recent release is a single httr2 compatibility fix.

Read the full healthyR.data trajectory →

ggquiver vs healthyR.data: 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.

H
healthyR.data
ANALYTICS
0.0

From a bundled hospital dataset to a live CMS API client.

◆ Current state

healthyR.data supplies the data layer for the healthyverse packages. It began by shipping hospital data inside the package and now fetches from CMS and provider endpoints at call time through get_cms_meta_data(), fetch_cms_data(), and their provider counterparts. The most recent release is a single httr2 compatibility fix.

◆ Where it's heading

The 2023 release added roughly twenty current_*_data() accessors, one per CMS measure file - a wide but static surface. The 2024 releases replaced that approach with metadata lookup plus generic fetchers, then taught the fetchers to handle CSV, Excel, and ZIP payloads rather than API responses alone. The package's weight has moved from what it ships to what it can retrieve.

◆ Prediction

With the fetch layer generalised, the next visible work is more likely record-limit and error handling around httr2 than further per-measure accessors.

Alternatives to ggquiver and healthyR.data

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 healthyR.data.

See all ggquiver alternatives → · See all healthyR.data alternatives →

Recent activity from ggquiver and healthyR.data

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

  1. 6mo agoggquiverArrows respect scale transformations and grid arrow styling
  2. 1y agohealthyR.datahttr2 compatibility fix
  3. 2y agohealthyR.dataFetchers handle CSV, Excel, and ZIP, with a record limit
  4. 2y agohealthyR.dataMetadata lookup and generic CMS fetchers replace bundled data
  5. 3y agohealthyR.dataTwenty CMS measure accessors added
  6. 3y agohealthyR.datacli, crayon, and rstudioapi dependencies dropped
  7. 4y agoggquiverArrow scaling and centered-arrow angle fixes
  8. 4y agoggquiverFix for resized vectors via vecsize
  9. 4y agoggquiverNon-Cartesian coordinates and ggmap backgrounds supported
  10. 5y agohealthyR.dataxz compression added to meet CRAN size policy

Frequently asked questions

What is the difference between ggquiver and healthyR.data?

They serve adjacent needs but don't currently overlap on shipped themes. ggquiver and healthyR.data 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 healthyR.data?

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

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