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fmtr vs hubExamples

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

Shared themes:r-package

fmtr vs hubExamples: at a glance

FeaturefmtrhubExamples
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessas-parity, data-formatting, clinical-reporting, format-catalogueshubverse, forecasting, example-data, r-package
Last editorial update19m ago1h ago
WebsiteVisit →Visit →

What is fmtr?

Rebuilding SAS's formatting layer in R, one format specification at a time

fmtr applies formats to R data the way SAS applies them: named format catalogues, format lists, and an fapply() that maps a specification onto a vector. It is part of a family of packages that reconstruct SAS reporting idioms in R, and it shares infrastructure with them — labels.data.frame() was moved out to the common package, which fmtr now depends on. The recent releases have been closing specific gaps against SAS's own format vocabulary.

Read the full fmtr trajectory →

What is hubExamples?

Example data for the hubverse, moving whenever the standards it demonstrates move.

hubExamples ships the reference datasets that hubverse vignettes and downstream packages use to demonstrate forecast and target data. Its releases track the hubverse specification rather than any independent roadmap: 1.0.0 exists because the target time series standard changed, and 0.1.0 because the oracle output terminology did. The current release, 1.0.1, is a single fix for column deserialisation on systems without arrow.

Read the full hubExamples trajectory →

fmtr vs hubExamples: editorial side-by-side

F
fmtr
ANALYTICS
0.0

Rebuilding SAS's formatting layer in R, one format specification at a time

◆ Current state

fmtr applies formats to R data the way SAS applies them: named format catalogues, format lists, and an fapply() that maps a specification onto a vector. It is part of a family of packages that reconstruct SAS reporting idioms in R, and it shares infrastructure with them — labels.data.frame() was moved out to the common package, which fmtr now depends on. The recent releases have been closing specific gaps against SAS's own format vocabulary.

◆ Where it's heading

The direction is parity, pursued in small increments. Quarter format codes were added because base R has none; the SAS best. format was reimplemented, then hardened against the variations people actually write; statistical summary helpers like fmt_mean_sd() and fmt_mean_stderr() cover the cell contents clinical tables need. The structural work is largely behind it, including the breaking 2022 move that handed labelling to a sibling package, so what remains is vocabulary coverage.

◆ Prediction

The pattern of adding a SAS format, then a release to handle its variants, suggests the next releases continue filling in format codes and summary helpers rather than changing how formats are applied.

H
hubExamples
ANALYTICS
0.0

Example data for the hubverse, moving whenever the standards it demonstrates move.

◆ Current state

hubExamples ships the reference datasets that hubverse vignettes and downstream packages use to demonstrate forecast and target data. Its releases track the hubverse specification rather than any independent roadmap: 1.0.0 exists because the target time series standard changed, and 0.1.0 because the oracle output terminology did. The current release, 1.0.1, is a single fix for column deserialisation on systems without arrow.

◆ Where it's heading

This is a downstream member of the hubverse package family, alongside hubUtils, hubData and hubValidations, and it moves when they define something new. The pattern across all four entries is the same: a standard changes upstream, hubExamples updates its data objects and vignettes to match. Sibling package hubAdmin has not shipped since November 2025, so the cohort is not currently in a coordinated wave.

◆ Prediction

The next release will most likely follow the next hubverse data-standard revision rather than lead it.

Alternatives to fmtr and hubExamples

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 fmtr or hubExamples.

See all fmtr alternatives → · See all hubExamples alternatives →

Recent activity from fmtr and hubExamples

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

  1. 3mo agohubExampleshubExamples 1.0.1
  2. 7mo agohubExampleshubExamples 1.0.0
  3. 10mo agofmtrMean and standard error helper, plus best-format variants
  4. 11mo agofmtrSAS best. format reimplemented in fapply()
  5. 1y agohubExampleshubExamples 0.1.0
  6. 1y agohubExampleshubExamples 0.0.1
  7. 2y agofmtrQuarter format codes %q and %Q added
  8. 2y agofmtrFormat lists become readable and writable files
  9. 2y agofmtrDocumentation and examples expanded
  10. 2y agofmtrvalue() can return results as a factor

Frequently asked questions

What is the difference between fmtr and hubExamples?

Both compete on the same themes — r-package — within Analytics. fmtr and hubExamples 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 fmtr better than hubExamples?

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

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

What are the best alternatives to hubExamples?

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