simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
healthyR.data vs treasury
A side-by-side editorial comparison of healthyR.data and treasury — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
healthyR.data vs treasury: 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 treasury?
A thin Treasury rates wrapper has stopped adding endpoints and started making its tables self-describing.
treasury wraps the US Treasury's published rate feeds — bill rates, par yields, forward rates, long-term extrapolated rates, and the HQM and breakeven inflation curves — into one set of R functions. Since 0.3.0 every function returns a data.table, and 0.5.0 added optional on-disk response caching with a one-day default. The most recent release is about data fidelity rather than reach: identifying columns, correct maturity labels, and locale-safe date parsing.
healthyR.data vs treasury: 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.
treasury
0.0ANALYTICS
A thin Treasury rates wrapper has stopped adding endpoints and started making its tables self-describing.
◆ Current state
treasury wraps the US Treasury's published rate feeds — bill rates, par yields, forward rates, long-term extrapolated rates, and the HQM and breakeven inflation curves — into one set of R functions. Since 0.3.0 every function returns a data.table, and 0.5.0 added optional on-disk response caching with a one-day default. The most recent release is about data fidelity rather than reach: identifying columns, correct maturity labels, and locale-safe date parsing.
◆ Where it's heading
Endpoint coverage looks essentially complete, so the work has moved to the metadata a downstream analyst needs to join and audit results — cusip and maturity_date on bill quotes, the feed's updated_at stamp, and the extrapolation factor behind 2002-2006 long-term rate estimates. Error handling is tightening in the same direction: an out-of-range month now fails with a message instead of quietly returning nothing. That is the profile of a wrapper moving from coverage to correctness, where the remaining bugs are the subtle ones that only surface in other people's locales.
◆ Prediction
Expect further column-level enrichment and input validation on the endpoints already covered rather than new data sources, since the structural pieces — data.table returns and caching — are already in place.
Alternatives to healthyR.data and treasury
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 treasury.
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 treasury alternatives →
Recent activity from healthyR.data and treasury
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agotreasuryBill rates gain CUSIP and maturity date; locale bug fixed
- 4mo agotreasuryOptional response caching, one day by default
- 11mo agotreasuryRate functions renamed to singular for consistency
- 1y agotreasuryEvery function now returns a data.table ⚡
- 1y agohealthyR.datahttr2 compatibility fix
- 2y agotreasuryHQM, coupon-issue and breakeven inflation curves added
- 2y agohealthyR.dataFetchers handle CSV, Excel, and ZIP, with a record limit
- 2y agohealthyR.dataMetadata lookup and generic CMS fetchers replace bundled data ⚡
- 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 treasury?
Both compete on the same themes — r-package — within Analytics. healthyR.data and treasury 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 treasury?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. healthyR.data and treasury 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 treasury?
Top treasury alternatives in Analytics are ranked by recent ship velocity. Browse the "treasury alternatives" section above for the current picks, or visit /alternatives/treasury for the full list with editorial commentary on each.