simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
healthyR.data vs labelled
A side-by-side editorial comparison of healthyR.data and labelled — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
healthyR.data vs labelled: at a glance
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.
What is labelled?
The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.
labelled manages variable labels, value labels and user-defined missing values on data imported from Stata, SPSS and SAS, filling the gap between those formats' metadata and R's native types. Recent releases have pushed outward from the core label accessors: survey design objects from the survey package are now supported throughout, look_for() results can be rendered as formatted gt tables, and dictionary data frames convert in both directions. Error messaging moved wholesale to cli in 2.14.0.
healthyR.data vs labelled: editorial side-by-side
healthyR.data
0.0ANALYTICS
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.
labelled
0.0ANALYTICS
The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.
◆ Current state
labelled manages variable labels, value labels and user-defined missing values on data imported from Stata, SPSS and SAS, filling the gap between those formats' metadata and R's native types. Recent releases have pushed outward from the core label accessors: survey design objects from the survey package are now supported throughout, look_for() results can be rendered as formatted gt tables, and dictionary data frames convert in both directions. Error messaging moved wholesale to cli in 2.14.0.
◆ Where it's heading
The arc is toward being usable wherever labelled data ends up, not just where it is loaded. Each recent release either extends support to another object type — survey designs, packed columns, plain vectors, tibbles with list columns — or adds a conversion path between labels and some other representation. The look_for() search function has become a second centre of gravity alongside the label accessors, accumulating its own output formats and long-format conversions.
◆ Prediction
The pattern of adding compatibility with one more object type or output format per release is stable and likely continues. Nothing in these entries indicates a change to the underlying haven_labelled representation the package is built on.
Alternatives to healthyR.data and labelled
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 healthyR.data or labelled.
lavaanExtra
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
ibis.iSDM
A raster-to-terra migration is the only readable change in a feed of merge notes.
anyflights
A nycflights13 generator whose recent work is all about the data being right.
vinereg
Conditional density and log-likelihood fill out a vine copula regression package.
stringx
A drop-in string API for base R, kept alive by upstream check failures.
See all healthyR.data alternatives → · See all labelled alternatives →
Recent activity from healthyR.data and labelled
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 9mo agolabelledFormatted look_for() tables and two-way dictionary conversion
- 11mo agolabelledSurvey design objects supported across the package
- 1y agolabelledRegression in set_variable_labels() corrected
- 1y agohealthyR.datahttr2 compatibility fix
- 1y agolabelledcli adopted for all messaging; null_action gains options
- 2y agohealthyR.dataFetchers handle CSV, Excel, and ZIP, with a record limit
- 2y agohealthyR.dataMetadata lookup and generic CMS fetchers replace bundled data ⚡
- 2y agolabelledCustom functions can rewrite variable and value labels in bulk
- 3y agolabelledPacked columns supported and label attributes exposed directly
- 3y agohealthyR.dataTwenty CMS measure accessors added
- 3y agohealthyR.datacli, crayon, and rstudioapi dependencies dropped
- 5y agohealthyR.dataxz compression added to meet CRAN size policy
Frequently asked questions
What is the difference between healthyR.data and labelled?
Both compete on the same themes — r-package — within Analytics. healthyR.data and labelled 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 healthyR.data better than labelled?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. healthyR.data and labelled 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 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.
What are the best alternatives to labelled?
Top labelled alternatives in Analytics are ranked by recent ship velocity. Browse the "labelled alternatives" section above for the current picks, or visit /alternatives/labelled for the full list with editorial commentary on each.