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Comparison · Infra & APIs

qol vs usmap

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

qol vs usmap: at a glance

Featureqolusmap
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessas-to-r, data-wrangling, excel-reporting, tabulationcartography, sf, data-packaging, fips
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

What is qol?

A SAS-to-R comfort layer that has quietly grown into its own dialect.

qol is a one-maintainer R package aimed at analysts moving from SAS: SAS-shaped verbs (compute., if./else_if., retain_value, do_if blocks), format-driven tabulation through any_table()/summarise_plus(), and styled Excel output as the default destination. Releases land roughly monthly and each one is large. The recent line has shifted from adding verbs to letting conditions be written as parsed character strings, which is the closest the package gets to reproducing SAS syntax inside R.

Read the full qol trajectory →

What is usmap?

Ten years in, US mapping splits its data out and finally adds Puerto Rico.

usmap plots US state and county maps in an Alaska- and Hawaii-inset projection and joins user data to them by FIPS code. Over the last two years it has been rebuilt underneath: the map data moved out to a companion usmapdata package, the geometry became sf, and a data_year parameter lets a plot match the vintage of the data being plotted. Version 1.0.0 marks ten years of the project and adds Puerto Rico across every function.

Read the full usmap trajectory →

qol vs usmap: editorial side-by-side

Q
qol
INFRA · APIS
0.0

A SAS-to-R comfort layer that has quietly grown into its own dialect.

◆ Current state

qol is a one-maintainer R package aimed at analysts moving from SAS: SAS-shaped verbs (compute., if./else_if., retain_value, do_if blocks), format-driven tabulation through any_table()/summarise_plus(), and styled Excel output as the default destination. Releases land roughly monthly and each one is large. The recent line has shifted from adding verbs to letting conditions be written as parsed character strings, which is the closest the package gets to reproducing SAS syntax inside R.

◆ Where it's heading

Three threads are visible across these releases. Syntax fidelity is the newest: ifelse_multi() introduced character-string conditions with SAS-style writing, and if./else_if. immediately picked the style up. Tabulation flexibility is the constant — any_table() gains per-variable statistic selection, nested variable combinations in brackets, vector order_by, compute support. The third is ecosystem plumbing the maintainer builds when a gap appears: file I/O in 1.3.0, a console message system, global style options, macro variables, and in 1.3.2 a code_statistics() script scanner. Renames to dodge data.table and dplyr masking recur often enough to be a pattern.

◆ Prediction

The maintainer flagged the new percentile behaviour as a first iteration that only works with few grouping variables, so a performance pass on it is the clearest outstanding item. Beyond that the character-condition syntax has reached three functions in two releases and looks likely to spread to the remaining filter-bearing verbs.

U
usmap
INFRA · APIS
0.0

Ten years in, US mapping splits its data out and finally adds Puerto Rico.

◆ Current state

usmap plots US state and county maps in an Alaska- and Hawaii-inset projection and joins user data to them by FIPS code. Over the last two years it has been rebuilt underneath: the map data moved out to a companion usmapdata package, the geometry became sf, and a data_year parameter lets a plot match the vintage of the data being plotted. Version 1.0.0 marks ten years of the project and adds Puerto Rico across every function.

◆ Where it's heading

The package has separated what it draws from how it draws, and that separation is what makes the recent releases possible: annual map vintages ship in usmapdata without touching usmap, and Puerto Rico could be backfilled into every existing year at once. The remaining work is coverage and defaults rather than architecture, and the Puerto Rico exclusion default is already governed by an environment variable rather than a code change.

◆ Prediction

Expect the annual map vintage to keep arriving through usmapdata, with usmap itself changing only where a new territory or a projection default needs handling.

Alternatives to qol and usmap

Other Infra & APIs 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 qol or usmap.

See all qol alternatives → · See all usmap alternatives →

Recent activity from qol and usmap

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

  1. 1mo agoqolifelse_multi() brings SAS-style string conditions to R
  2. 2mo agoqolcode_statistics() scans script folders; retain_stat() generalizes
  3. 3mo agoqolcompute. and recode. renamed to dodge dplyr masking
  4. 4mo agoqolFile I/O, a console message system and do_if filter blocks
  5. 5mo agoqolRow and column percentage keywords; reworked dummy data
  6. 6mo agoqolMacro variables, multi-file import/export and text helpers
  7. 11mo agousmapPuerto Rico added across every usmap function and map year
  8. 1y agousmapdata_year parameter threaded through the plotting functions
  9. 2y agousmapPopulation and poverty data refreshed; ggplot2 3.5 legend fix
  10. 2y agousmapMap data becomes sf; usmap_transform() returns geometry
  11. 2y agousmapDocumentation links updated
  12. 2y agousmapMap data extracted to a companion usmapdata package

Frequently asked questions

What is the difference between qol and usmap?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. qol and usmap 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to qol?

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

What are the best alternatives to usmap?

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