rollupTree
The recursive-computation engine under massProps grows the accessors its consumer needed
Comparison · Infra & APIs
qol vs surveytidy
A side-by-side editorial comparison of qol and surveytidy — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-packages
qol vs surveytidy: at a glance
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.
What is surveytidy?
surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.
surveytidy is the tidyverse-facing half of a two-package survey stack, wrapping survey design objects from surveycore so filter, mutate, select and the rest work on them while carrying variable labels, value labels and a transformation log alongside the data. The May release extended that verb surface to survey_collection, the abstraction surveycore uses to hold several surveys as one object, so a pipeline written once dispatches across every member.
qol vs surveytidy: editorial side-by-side
qol
0.0INFRA · APIS
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.
surveytidy
0.0INFRA · APIS
surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.
◆ Current state
surveytidy is the tidyverse-facing half of a two-package survey stack, wrapping survey design objects from surveycore so filter, mutate, select and the rest work on them while carrying variable labels, value labels and a transformation log alongside the data. The May release extended that verb surface to survey_collection, the abstraction surveycore uses to hold several surveys as one object, so a pipeline written once dispatches across every member.
◆ Where it's heading
The package is being built in two layers that arrive in order: vector-level transformations first, structural dispatch second. The make_* family in 0.4.0 handles the recoding that survey work actually consists of — labelled to factor, multi-level to dichotomous, scale reversal, valence flipping — with value labels propagating automatically. Collection support then applies data-masking, tidyselect, grouping, slicing and collapsing verbs per survey, with joins explicitly refused and a typed message reporting which surveys were skipped. Metadata fidelity is the recurring bug source: labels surviving across(), stale labels left behind by recoding, the transformation log keeping up with what the verbs did.
◆ Prediction
Joins are the one verb family that errors on collections, with users directed to join before constructing the collection, so that restriction is the clearest outstanding gap. The re-export of surveycore's collection constructors suggests the package is positioning itself as the single import users need, which points toward more re-exports as surveycore's stable API settles.
Alternatives to qol and surveytidy
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 surveytidy.
massProps
A mass-properties rollup spends a year on documentation and follows its sibling's API
writeAlizer
Six months of releases and not one of them touched the scoring models
samplr
A cognitive-science sampling package ships once, then goes quiet for eighteen months
stochvol
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
midr
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
See all qol alternatives → · See all surveytidy alternatives →
Recent activity from qol and surveytidy
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoqolifelse_multi() brings SAS-style string conditions to R
- 2mo agoqolcode_statistics() scans script folders; retain_stat() generalizes
- 2mo agosurveytidymutate() syncs metadata for across() recodes
- 3mo agoqolcompute. and recode. renamed to dodge dplyr masking
- 3mo agosurveytidydplyr and tidyr verbs dispatch across survey collections
- 4mo agoqolFile I/O, a console message system and do_if filter blocks
- 5mo agosurveytidyFive label-aware recoding functions for use inside mutate()
- 5mo agoqolRow and column percentage keywords; reworked dummy data
- 6mo agoqolMacro variables, multi-file import/export and text helpers
Frequently asked questions
What is the difference between qol and surveytidy?
Both compete on the same themes — r-packages — within Infra & APIs. qol and surveytidy 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 surveytidy?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. qol and surveytidy 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 surveytidy?
Top surveytidy alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "surveytidy alternatives" section above for the current picks, or visit /alternatives/surveytidy for the full list with editorial commentary on each.