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aqp vs healthyR.data

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

Shared themes:r-package

aqp vs healthyR.data: at a glance

FeatureaqphealthyR.data
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, soil-science, s4-classes, munsell-colorr-package, healthcare-data, cms, api-client
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is aqp?

The 1.x line, tagged retroactively after a decade of SoilProfileCollection redesign.

aqp provides the SoilProfileCollection class and the algorithms built on it for soil profile data, colour, and taxonomy. The most recent tag in this feed is explicitly retroactive: 1.42 was cut in 2025 to mark the last CRAN state before the 2.0 release. Between 2018 and 2021 the class internals were reworked twice, the Munsell colour tooling grew substantially, and data.table replaced reshape underneath the wide-to-long transformations.

Read the full aqp 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 →

aqp vs healthyR.data: editorial side-by-side

A
aqp
ANALYTICS
0.0

The 1.x line, tagged retroactively after a decade of SoilProfileCollection redesign.

◆ Current state

aqp provides the SoilProfileCollection class and the algorithms built on it for soil profile data, colour, and taxonomy. The most recent tag in this feed is explicitly retroactive: 1.42 was cut in 2025 to mark the last CRAN state before the 2.0 release. Between 2018 and 2021 the class internals were reworked twice, the Munsell colour tooling grew substantially, and data.table replaced reshape underneath the wide-to-long transformations.

◆ Where it's heading

Two threads run through the window. The core object was progressively rebuilt - a new horizon-ID slot in 1.17, then a wave of renames and argument removals in 1.25 that broke code deliberately ahead of 2.0. Alongside it, colour work compounded: mixMunsell, spectral mixing, colour quantiles, a chip-frequency chart, and PMS conversion. Tag order here is not release order, since 1.42 was applied to an older commit.

◆ Prediction

This feed reads as a closed chapter - further entries on it would be backfill, with active work having moved to the 2.x series.

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 aqp 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 aqp or healthyR.data.

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

Recent activity from aqp and healthyR.data

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

  1. 1y agoaqpRetroactive tag for the last 1.x CRAN state
  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 agoaqpMunsell mixing gains an exact spectral method
  8. 5y agohealthyR.dataxz compression added to meet CRAN size policy
  9. 5y agoaqpdata.table replaces reshape under the class internals
  10. 5y agoaqpCore class methods renamed and pruned ahead of 2.0
  11. 7y agoaqpNew horizon-ID slot closes the 1.x major line

Frequently asked questions

What is the difference between aqp and healthyR.data?

Both compete on the same themes — r-package — within Analytics. aqp 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 aqp better than healthyR.data?

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

Top aqp alternatives in Analytics are ranked by recent ship velocity. Browse the "aqp alternatives" section above for the current picks, or visit /alternatives/aqp 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.