flightsbr
Brazil's flight-data package keeps working around what ANAC publishes and when.
A side-by-side editorial comparison of edibble and secuTrialR — 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.
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
secuTrialR reads and prepares data exports from the secuTrial clinical data management system for analysis in R. Development is sporadic and maintenance-shaped: the 2025 release bundles six pull requests covering dependency breakage, quote handling in free text fields, a generalised URL builder and CRAN check notes. Its release notes are largely merge messages and submission records rather than descriptions of what changed.
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.
secuTrialR reads and prepares data exports from the secuTrial clinical data management system for analysis in R. Development is sporadic and maintenance-shaped: the 2025 release bundles six pull requests covering dependency breakage, quote handling in free text fields, a generalised URL builder and CRAN check notes. Its release notes are largely merge messages and submission records rather than descriptions of what changed.
The visible history has two distinct phases. The 2020 releases are a CRAN review loop — four submissions in two weeks, each note recording only the submission itself. After that the package goes quiet for years at a time, resurfacing when R or its dependencies break something. The one substantive thread is robustness against real-world export data, with the free-text quote fix as the clearest example. The 2025 release's own changelog spans 1.1.1 to 1.3.3, so several intermediate versions exist that this feed never showed.
Expect the next release when a dependency or CRAN check forces one, since that has triggered every release since 2020; the notes give no indication of planned feature work.
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 secuTrialR.
Brazil's flight-data package keeps working around what ANAC publishes and when.
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 secuTrialR alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. edibble and secuTrialR 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 secuTrialR 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 secuTrialR alternatives in Analytics are ranked by recent ship velocity. Browse the "secuTrialR alternatives" section above for the current picks, or visit /alternatives/secutrialr for the full list with editorial commentary on each.