tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of gigs and slider — release velocity, themes, recent moves, and the top alternatives to consider.
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
gigs implements international newborn and infant growth standards — INTERGROWTH-21st, WHO — converting anthropometric measurements to z-scores and centiles and classifying growth outcomes. The 0.5.0 release rewrote the public API around rOpenSci review feedback; the two releases after it change no code at all, existing purely to get the documentation site building.
Feature-complete since 2021, and every release since has been paying CRAN's C API bill
slider provides sliding-window and index-aware window functions for R, with a C implementation underneath and a specialised fast path for common aggregations. The user-facing surface has been stable since 0.3.0 in late 2022. Everything after that is compliance and platform work: STRING_PTR removed in 0.3.2, OBJECT() removed in 0.3.3, a vctrs callable's C signature corrected, and the minimum R version raised twice.
gigs implements international newborn and infant growth standards — INTERGROWTH-21st, WHO — converting anthropometric measurements to z-scores and centiles and classifying growth outcomes. The 0.5.0 release rewrote the public API around rOpenSci review feedback; the two releases after it change no code at all, existing purely to get the documentation site building.
The package has moved from vector-in, vector-out conversion helpers to a data.frame-oriented interface with a single classify_growth() entry point that computes whatever outcomes the supplied columns allow. That is a shift from library to tool — the user describes their data rather than picking the right function. The trailing releases suggest the code is settled and the remaining work is packaging and discoverability.
With the API rewrite absorbed and hosting moved to rOpenSci, the next substantive release should add growth standards or outcomes rather than reshape the interface again.
slider provides sliding-window and index-aware window functions for R, with a C implementation underneath and a specialised fast path for common aggregations. The user-facing surface has been stable since 0.3.0 in late 2022. Everything after that is compliance and platform work: STRING_PTR removed in 0.3.2, OBJECT() removed in 0.3.3, a vctrs callable's C signature corrected, and the minimum R version raised twice.
Two forces set the release schedule, and neither is feature demand. The first is CRAN closing off non-API C entry points, which packages reaching into R internals for speed have to unwind one accessor at a time — slider is on its second such release with no visible loss of function. The second is vctrs, whose breaking changes slider absorbs ahead of time; 0.2.2 exists solely to prepare for one. The last release that added anything callers can see was 0.3.0's slider_plus() and slider_minus() extension hooks.
Expect the pattern to continue: another non-API accessor removal or a vctrs compatibility release, rather than new window functions. The C-level surface is the only part of this package still moving.
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 gigs or slider.
A tables-listings-graphs package that reached CRAN and then went quiet.
Tplyr made clinical summary tables explain where every number came from.
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. gigs and slider 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. gigs and slider 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 gigs alternatives in Analytics are ranked by recent ship velocity. Browse the "gigs alternatives" section above for the current picks, or visit /alternatives/gigs for the full list with editorial commentary on each.
Top slider alternatives in Analytics are ranked by recent ship velocity. Browse the "slider alternatives" section above for the current picks, or visit /alternatives/slider for the full list with editorial commentary on each.