TidyDensity
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
A side-by-side editorial comparison of crossmap and healthyR.ts — release velocity, themes, recent moves, and the top alternatives to consider.
crossmap's roadmap is set by purrr and furrr — it deprecates what upstream deprecates.
A small package for mapping over combinations of arguments, following purrr and furrr conventions. Its own functional additions stopped after xpluck() in 2023 and the cross_fit() clustering work in 2022. Everything since tracks upstream: xmap_raw() and future_xmap_raw() are now defunct because purrr removed map_raw() and furrr removed future_pmap_raw(), and re-exported parallel helpers now come from parallelly rather than future.
healthyR.ts keeps adding time-series helpers, then quietly breaks the old ones to modernise them.
A time-series companion in the healthyverse family, shipping helper functions in batches: growth-rate vectors, an ADF test and auto_stationarize() in 0.2.11, then five log and differencing transforms in 0.3.0, and a random-walk plot in 0.3.2. Alongside the additions runs a steady stream of breaking cleanups — invisible returns dropped, R 4.1 required for the native pipe, and ts_ma_plot() refactored onto ggplot2 facets with its xts output removed and its return value cut from six items to two.
A small package for mapping over combinations of arguments, following purrr and furrr conventions. Its own functional additions stopped after xpluck() in 2023 and the cross_fit() clustering work in 2022. Everything since tracks upstream: xmap_raw() and future_xmap_raw() are now defunct because purrr removed map_raw() and furrr removed future_pmap_raw(), and re-exported parallel helpers now come from parallelly rather than future.
The package has settled into being a compatible extension rather than an independent one — its release notes read as a mirror of purrr's and furrr's deprecation schedules. Note that the release stamps are unreliable here: several versions were backfilled minutes apart and the 0.3.x tags carry timestamps in reverse version order, so feed position says nothing about what shipped when.
Expect the next release to be driven by another purrr or furrr change rather than new functionality, since that has been the sole trigger for the last four.
A time-series companion in the healthyverse family, shipping helper functions in batches: growth-rate vectors, an ADF test and auto_stationarize() in 0.2.11, then five log and differencing transforms in 0.3.0, and a random-walk plot in 0.3.2. Alongside the additions runs a steady stream of breaking cleanups — invisible returns dropped, R 4.1 required for the native pipe, and ts_ma_plot() refactored onto ggplot2 facets with its xts output removed and its return value cut from six items to two.
Two threads, both consistent. The functional one is coverage of the stationarity workflow — transform, test, auto-stationarize, plot — assembled function by function rather than as a single API. The structural one is convergence on ggplot2 and tidy conventions, retiring xts objects and multi-object return lists as it goes. The package is not afraid to break return shapes to get there, so upgrades are not drop-in.
Expect the remaining functions that still return xts objects or bundled lists to get the same ggplot2-only treatment, since ts_ma_plot() was refactored on exactly that rationale.
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 crossmap or healthyR.ts.
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
College football's open data client hit v2 — and now reports how many API calls you have left.
The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.
GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
A spatial-statistics utility package exists to be depended on, and is built accordingly.
See all crossmap alternatives → · See all healthyR.ts alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r package — within Analytics. crossmap and healthyR.ts 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. crossmap and healthyR.ts 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 crossmap alternatives in Analytics are ranked by recent ship velocity. Browse the "crossmap alternatives" section above for the current picks, or visit /alternatives/crossmap for the full list with editorial commentary on each.
Top healthyR.ts alternatives in Analytics are ranked by recent ship velocity. Browse the "healthyR.ts alternatives" section above for the current picks, or visit /alternatives/healthyr-ts for the full list with editorial commentary on each.