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fmtr vs MetaboAnalystR

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

Shared themes:r-package

fmtr vs MetaboAnalystR: at a glance

FeaturefmtrMetaboAnalystR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessas-parity, data-formatting, clinical-reporting, format-cataloguesmetabolomics, exposomics, lc-ms, spectral-processing
Last editorial update30m ago29m 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 MetaboAnalystR?

The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation

MetaboAnalystR is the scriptable form of the MetaboAnalyst web platform, carrying several hundred functions for metabolomics data analysis, visualisation and functional interpretation. Its releases have steadily pushed the starting line further upstream: version 1 assumed processed data, version 2 added raw LC-MS spectral processing, and the 4.x line presents the whole path from raw spectra through compound identification to functional interpretation as one workflow. It also now claims exposomics alongside metabolomics as an application area.

Read the full MetaboAnalystR trajectory →

fmtr vs MetaboAnalystR: 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.

M0.0

The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation

◆ Current state

MetaboAnalystR is the scriptable form of the MetaboAnalyst web platform, carrying several hundred functions for metabolomics data analysis, visualisation and functional interpretation. Its releases have steadily pushed the starting line further upstream: version 1 assumed processed data, version 2 added raw LC-MS spectral processing, and the 4.x line presents the whole path from raw spectra through compound identification to functional interpretation as one workflow. It also now claims exposomics alongside metabolomics as an application area.

◆ Where it's heading

The consistent move is absorbing steps that users previously stitched together from separate tools. Peak picking, alignment and annotation came in with 2.0; automated feature detection optimisation and compound identification came with the 4.x work. The releases are infrequent and paper-shaped — each major version is announced with publication text rather than a change list — which makes the version history read as a sequence of methods papers more than a software cadence.

◆ Prediction

The exposomics framing is the newest element and the least built out in these entries, which makes it the most likely direction for the next round of work.

Alternatives to fmtr and MetaboAnalystR

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 MetaboAnalystR.

See all fmtr alternatives → · See all MetaboAnalystR alternatives →

Recent activity from fmtr and MetaboAnalystR

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

  1. 10mo agofmtrMean and standard error helper, plus best-format variants
  2. 10mo agoMetaboAnalystRMetaboAnalystR 4.2: a unified LC-MS/MS workflow for global metabolomics and exposomics
  3. 11mo agofmtrSAS best. format reimplemented in fapply()
  4. 2y agofmtrQuarter format codes %q and %Q added
  5. 2y agofmtrFormat lists become readable and writable files
  6. 2y agofmtrDocumentation and examples expanded
  7. 2y agofmtrvalue() can return results as a factor
  8. 3y agoMetaboAnalystRMetaboAnalystR 3.3: Pre-version of version 4.0
  9. 7y agoMetaboAnalystRMetaboAnalystR 2.0: From Raw Spectra to Biological Insights
  10. 8y agoMetaboAnalystRInteractive 3D ordination plots via plotly

Frequently asked questions

What is the difference between fmtr and MetaboAnalystR?

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

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

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