← Back to home
Comparison · Analytics

epidict vs fmtr

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

Shared themes:r-package

epidict vs fmtr: at a glance

Featureepidictfmtr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepidemiology, data-dictionaries, cran, humanitarian-datasas-parity, data-formatting, clinical-reporting, format-catalogues
Last editorial update26m ago16m ago
WebsiteVisit →Visit →

What is epidict?

A spin-out dictionary reader for MSF epidemiological data, finding its shape on CRAN

epidict reads and applies the data dictionaries MSF field epidemiologists use to standardise outbreak and survey datasets. It was split out of the larger sitrep toolchain so the dictionary-reading and variable-renaming functions could ship on CRAN independently. Three releases in roughly two months have taken it from that initial separation to handling intersectional dictionaries.

Read the full epidict trajectory →

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 →

epidict vs fmtr: editorial side-by-side

E
epidict
ANALYTICS
0.0

A spin-out dictionary reader for MSF epidemiological data, finding its shape on CRAN

◆ Current state

epidict reads and applies the data dictionaries MSF field epidemiologists use to standardise outbreak and survey datasets. It was split out of the larger sitrep toolchain so the dictionary-reading and variable-renaming functions could ship on CRAN independently. Three releases in roughly two months have taken it from that initial separation to handling intersectional dictionaries.

◆ Where it's heading

The arc is a package being unbundled and then reassembled as its dependencies land on CRAN. The 0.1.0 release deliberately dropped msf_dict_rename_helper() because its dependencies weren't available; 0.2.0 put it back. 0.3.0 is the first release that adds rather than restores, extending intersectional dictionary support and giving callers control over name cleaning.

◆ Prediction

Expect the next releases to keep widening dictionary coverage rather than changing the API, since the reinstatement work that dominated 0.1.0 to 0.2.0 is now finished.

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.

Alternatives to epidict and fmtr

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 epidict or fmtr.

See all epidict alternatives → · See all fmtr alternatives →

Recent activity from epidict and fmtr

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

  1. 6mo agoepidictIntersectional dictionaries plus an opt-out for name cleaning
  2. 7mo agoepidictVariable-renaming helper returns once sitrep is reachable
  3. 9mo agoepidictFirst CRAN release, carved out of the sitrep toolchain
  4. 10mo agofmtrMean and standard error helper, plus best-format variants
  5. 11mo agofmtrSAS best. format reimplemented in fapply()
  6. 2y agofmtrQuarter format codes %q and %Q added
  7. 2y agofmtrFormat lists become readable and writable files
  8. 2y agofmtrDocumentation and examples expanded
  9. 2y agofmtrvalue() can return results as a factor

Frequently asked questions

What is the difference between epidict and fmtr?

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

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

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

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.