secuTrialR
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
A side-by-side editorial comparison of edibble and flightsbr — release velocity, themes, recent moves, and the top alternatives to consider.
A grammar for experimental design that learned to compose designs and track its own provenance.
edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.
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.
edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.
Development has moved from vocabulary to composition. Early releases established the core grammar; 1.0.0 replaced the internal R6 machinery with a Provenance object that tracks both internal and external commands, which is what lets a design carry its own construction history. On that foundation 1.1.0 added the ability to add two designs together, express conditional treatment structures, and split simulation specification from execution. The 2025 release turns toward a different entry point — wiring up level edges and unit attributes when an edibble object is built from data that already exists, rather than from a design declared up front.
Expect continued work on designs derived from existing data, since that is where the last release concentrated and it is the path least covered by the declarative grammar.
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 edibble or flightsbr.
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.
An ensemble sampler just admitted its walkers were barely talking to each other.
See all edibble 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. edibble 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. edibble 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 edibble alternatives in Analytics are ranked by recent ship velocity. Browse the "edibble alternatives" section above for the current picks, or visit /alternatives/edibble 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.