cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
Comparison · Analytics
enderecobr vs fmtr
A side-by-side editorial comparison of enderecobr and fmtr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
enderecobr vs fmtr: at a glance
What is enderecobr?
Brazilian address standardisation moves its core to Rust, betting on throughput over pure R
enderecobr standardises Brazilian address fields — street types, neighbourhoods, states, postcodes, house numbers — into consistent forms so records from different registries can be compared. It comes out of the ipeaGIT ecosystem and its API is a family of padronizar_* functions plus one padronizar_enderecos() that runs them together. The 0.5.0 release rewrote those standardisation functions in Rust with a documented speedup.
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.
enderecobr vs fmtr: editorial side-by-side
enderecobr
0.0ANALYTICS
Brazilian address standardisation moves its core to Rust, betting on throughput over pure R
◆ Current state
enderecobr standardises Brazilian address fields — street types, neighbourhoods, states, postcodes, house numbers — into consistent forms so records from different registries can be compared. It comes out of the ipeaGIT ecosystem and its API is a family of padronizar_* functions plus one padronizar_enderecos() that runs them together. The 0.5.0 release rewrote those standardisation functions in Rust with a documented speedup.
◆ Where it's heading
Two years of releases were about control and correctness: new formato arguments letting callers choose state names or abbreviations, integers or characters for house numbers, and a run of fixes for numbers mangled by thousands separators. That work settled the semantics. With the behaviour pinned down, the Rust rewrite becomes the natural next move, and the release pairs it with new matching rules for the two messiest fields, neighbourhoods and street names.
◆ Prediction
The rewrite covers the standardisation functions specifically, so the remaining pure-R paths around them are the likely next targets, alongside continued rule additions for street and neighbourhood variants.
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.
Alternatives to enderecobr 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 enderecobr or fmtr.
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 enderecobr alternatives → · See all fmtr alternatives →
Recent activity from enderecobr and fmtr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agoenderecobrStandardisation functions rewritten in Rust ⚡
- 10mo agofmtrMean and standard error helper, plus best-format variants
- 11mo agofmtrSAS best. format reimplemented in fapply()
- 1y agoenderecobrNamespaced calls no longer error on internal warnings
- 1y agoenderecobrHouse numbers gain output format control, thousands-separator bug fixed
- 1y agoenderecobrStates can be standardised to full names or abbreviations
- 1y agoenderecobrAuthor added to package metadata
- 1y agoenderecobrStreet-type functions added and output columns given a naming convention
- 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 enderecobr and fmtr?
Both compete on the same themes — r-package — within Analytics. enderecobr 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 enderecobr better than fmtr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. enderecobr 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 enderecobr?
Top enderecobr alternatives in Analytics are ranked by recent ship velocity. Browse the "enderecobr alternatives" section above for the current picks, or visit /alternatives/enderecobr 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.