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Comparison · Infra & APIs

ggalign vs qol

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

ggalign vs qol: at a glance

Featureggalignqol
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, layout, heatmaps, s7sas-to-r, data-wrangling, excel-reporting, tabulation
Last editorial update44m ago3h ago
WebsiteVisit →Visit →

What is ggalign?

Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.

ggalign composes multiple ggplots against a shared observation ordering, covering heatmap annotation, oncoplots, phylogenies and circular layouts. Releases have come roughly monthly through 2025, first completing the layout system, then migrating the internals to S7 and absorbing the ggplot2 4.0 changes. The alignment machinery is now exported for other packages to build on.

Read the full ggalign trajectory →

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 →

ggalign vs qol: editorial side-by-side

G
ggalign
INFRA · APIS
0.0

Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.

◆ Current state

ggalign composes multiple ggplots against a shared observation ordering, covering heatmap annotation, oncoplots, phylogenies and circular layouts. Releases have come roughly monthly through 2025, first completing the layout system, then migrating the internals to S7 and absorbing the ggplot2 4.0 changes. The alignment machinery is now exported for other packages to build on.

◆ Where it's heading

Two threads run in parallel. One widens what can be aligned, with sector facets, ideograms, image point shapes and observation linking. The other keeps rebuilding the foundation, with the S7 migration, repeated renames toward consistent naming, and the deliberate handing of element_polygon() and element_curve() upstream to ggplot2. The renaming is aggressive enough that each recent release soft-deprecates something.

◆ Prediction

With the internals on S7 and the Patch object exported, the next step is most likely stabilising those names rather than another refactor.

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.

Alternatives to ggalign and qol

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 ggalign or qol.

See all ggalign alternatives → · See all qol alternatives →

Recent activity from ggalign and qol

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. 10mo agoggalignalignpatch internals moved to S7; Patch object exported
  8. 11mo agoggalignInternals migrated to S7; ideogram, tags and image shapes
  9. 1y agoggalignz aesthetic scales and guide collection in borders
  10. 1y agoggalignchannelGrob() draws across facets; ggplot2 3.5.2 fix
  11. 1y agoggalignLayout system declared complete; polar facets and coord_circle()
  12. 1y agoggalignLayouts split into discrete and continuous; linking system added

Frequently asked questions

What is the difference between ggalign and qol?

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

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

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

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.