edibble
A grammar for experimental design that learned to compose designs and track its own provenance.
A side-by-side editorial comparison of broom.helpers and flightsbr — release velocity, themes, recent moves, and the top alternatives to consider.
The tidying engine under gtsummary keeps widening its model coverage while retiring its own selector layer.
broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes are essentially a running list of newly supported model classes. Recent versions added quantreg, svyVGAM, VGAM, glmtoolbox and mmrm support alongside a steady stream of fixes for fixest and survey models. In parallel it has spent three releases dismantling its own selector helpers in favour of the cards package.
Brazil's flight-data package keeps working around what ANAC publishes and when.
flightsbr downloads Brazilian civil aviation data — flights, airport movements, aircraft registrations, air fares — straight from ANAC into R. Its read_ functions now default to the latest available date rather than requiring one, and read_aircrafts() has been renamed to read_aircraft(). The published feed jumps from 0.1.2 to 0.3.0 to 1.1.0, so intermediate releases are not visible here.
broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes are essentially a running list of newly supported model classes. Recent versions added quantreg, svyVGAM, VGAM, glmtoolbox and mmrm support alongside a steady stream of fixes for fixest and survey models. In parallel it has spent three releases dismantling its own selector helpers in favour of the cards package.
Two arcs run in parallel. The first is accretive: each release absorbs another modelling package, which is the natural job of a translation layer and shows no sign of slowing. The second is subtractive and now complete — the dot-prefixed selector functions were deprecated in 1.17.0, hard deprecated in 1.20.0, and removed in 1.22.0, alongside the deprecation of tidy_marginal_means() and tidy_margins() as their upstream packages moved or left CRAN. The package is consolidating on parameters and marginaleffects as its computational backends while shedding machinery that now belongs to gtsummary's ecosystem.
The next release will most likely add support for another model class and continue trimming tidiers whose upstream packages have been superseded, following the pattern of the last six.
flightsbr downloads Brazilian civil aviation data — flights, airport movements, aircraft registrations, air fares — straight from ANAC into R. Its read_ functions now default to the latest available date rather than requiring one, and read_aircrafts() has been renamed to read_aircraft(). The published feed jumps from 0.1.2 to 0.3.0 to 1.1.0, so intermediate releases are not visible here.
This is a package defined by its upstream. Its releases are mostly reactions to how ANAC serves data: a download path that broke on 2022 data, URLs with inconsistent .CSV casing that hid available dates, a broken data dictionary link, and an air fares reader that had to be pulled entirely when the source became unworkable. The 2025 release is the first that reads like product design rather than repair — defaulting to the latest data and fixing a typo in a function name at the cost of a deprecation. Availability of the source, not developer intent, sets the release cadence.
The most likely next move is another adjustment to a changed ANAC endpoint or the return of the suspended air fares reader, since upstream availability has driven every release visible here.
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 broom.helpers or flightsbr.
A grammar for experimental design that learned to compose designs and track its own provenance.
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
A star-schema modelling package grew a query language, a deployment path, and then a map layer.
A water-research lab's ODBC helper, still fighting Windows database drivers a decade in.
PACTA's loan-book matcher opened up to sector taxonomies other than its own.
PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.
See all broom.helpers alternatives → · See all flightsbr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. broom.helpers and flightsbr 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. broom.helpers and flightsbr 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.
Top broom.helpers alternatives in Analytics are ranked by recent ship velocity. Browse the "broom.helpers alternatives" section above for the current picks, or visit /alternatives/broom-helpers for the full list with editorial commentary on each.
Top flightsbr alternatives in Analytics are ranked by recent ship velocity. Browse the "flightsbr alternatives" section above for the current picks, or visit /alternatives/flightsbr for the full list with editorial commentary on each.