cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
Comparison · Analytics
fmtr vs hubAdmin
A side-by-side editorial comparison of fmtr and hubAdmin — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
fmtr vs hubAdmin: at a glance
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.
What is hubAdmin?
The config-authoring half of hubverse, pinned to whatever the schema is doing this quarter
hubAdmin builds and validates the JSON configuration that defines a hubverse forecast hub — rounds, model tasks, output types, target metadata. It is the administrator-facing member of the hubverse family, sitting alongside the packages that read and evaluate hub data. Its release cadence is set almost entirely by the hubverse schema, which it has now tracked from v4.0.0 through v6.0.0.
fmtr vs hubAdmin: editorial side-by-side
fmtr
0.0ANALYTICS
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.
hubAdmin
0.0ANALYTICS
The config-authoring half of hubverse, pinned to whatever the schema is doing this quarter
◆ Current state
hubAdmin builds and validates the JSON configuration that defines a hubverse forecast hub — rounds, model tasks, output types, target metadata. It is the administrator-facing member of the hubverse family, sitting alongside the packages that read and evaluate hub data. Its release cadence is set almost entirely by the hubverse schema, which it has now tracked from v4.0.0 through v6.0.0.
◆ Where it's heading
Every release here is legible as schema-following. New schema properties become new arguments, new schema constraints become new validate_config() checks, and the package version is essentially a marker for which schema generation it can author. The one thread that is genuinely its own is ergonomics: session-level options for schema version and branch, support for in-development schema branches, and a steadily stricter validator that now catches duplicate properties and mismatched target keys before a hub goes live.
◆ Prediction
With v6.0.0 support only partially landed, the next releases most likely finish the additional_metadata migration across the remaining create_* functions.
Alternatives to fmtr and hubAdmin
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 hubAdmin.
MetaboAnalystR
The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation
betaselectr
Standardised coefficients for models where standardising everything is wrong — but the feed only links out
SSN2
Stream-network spatial models learning to run on data that no longer fits in memory
BiocManager
Bioconductor's installer, frozen at 1.30.x and tuned almost entirely through environment variables
dcurves
Decision curve analysis, settled since 2022 and now moving only when its neighbours do
See all fmtr alternatives → · See all hubAdmin alternatives →
Recent activity from fmtr and hubAdmin
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 9mo agohubAdminSchema v6.0.0 additional_metadata support lands
- 9mo agohubAdmintarget-data.json config validation added
- 10mo agofmtrMean and standard error helper, plus best-format variants
- 11mo agofmtrSAS best. format reimplemented in fapply()
- 1y agohubAdminTarget metadata gains optional properties for schema 5.1.0
- 1y agohubAdminValidator catches duplicate properties and mismatched target keys
- 1y agohubAdminSchema version and branch settable per session
- 1y agohubAdminOutput types follow the v4.0.0 is_required split
- 2y agofmtrQuarter format codes %q and %Q added
- 2y agofmtrFormat lists become readable and writable files
- 2y agofmtrDocumentation and examples expanded
- 2y agofmtrvalue() can return results as a factor
Frequently asked questions
What is the difference between fmtr and hubAdmin?
Both compete on the same themes — r-package — within Analytics. fmtr and hubAdmin 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 hubAdmin?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fmtr and hubAdmin 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 hubAdmin?
Top hubAdmin alternatives in Analytics are ranked by recent ship velocity. Browse the "hubAdmin alternatives" section above for the current picks, or visit /alternatives/hubadmin for the full list with editorial commentary on each.