simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of gghighlight and healthyR.data — release velocity, themes, recent moves, and the top alternatives to consider.
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
gghighlight adds one verb to ggplot2: highlight the series matching a predicate and grey out the rest, with unhighlighted_params controlling how the shadowed layer renders and calculate_per_facet deciding whether the predicate evaluates within facets. The API settled at 0.2.0; the 0.5.0 release supports ggplot2 v4.0 including its ink and paper theme elements, and finally deletes gghighlight_point() and gghighlight_line().
From a bundled hospital dataset to a live CMS API client.
healthyR.data supplies the data layer for the healthyverse packages. It began by shipping hospital data inside the package and now fetches from CMS and provider endpoints at call time through get_cms_meta_data(), fetch_cms_data(), and their provider counterparts. The most recent release is a single httr2 compatibility fix.
gghighlight adds one verb to ggplot2: highlight the series matching a predicate and grey out the rest, with unhighlighted_params controlling how the shadowed layer renders and calculate_per_facet deciding whether the predicate evaluates within facets. The API settled at 0.2.0; the 0.5.0 release supports ggplot2 v4.0 including its ink and paper theme elements, and finally deletes gghighlight_point() and gghighlight_line().
Two threads run through the history. One is a slow deprecation, from soft-deprecating the geom-specific functions at 0.1.0, to defunct at 0.3.0, to removed at 0.5.0 — a five-year removal cycle. The other is compatibility work: purrr 1.0.0, dplyr's across() deprecation, ggplot2 3.4.0, then 4.0. Genuine feature additions are rare and small, with line_label_type at 0.4.0 the last one. Note that 0.3.2's notes restate 0.3.1's n() item, so adjacent tags here overlap rather than each describing distinct work.
The next release most likely absorbs further ggplot2 4.x changes, given that is what triggered the last three. Nothing in the entries points to a new highlighting capability.
healthyR.data supplies the data layer for the healthyverse packages. It began by shipping hospital data inside the package and now fetches from CMS and provider endpoints at call time through get_cms_meta_data(), fetch_cms_data(), and their provider counterparts. The most recent release is a single httr2 compatibility fix.
The 2023 release added roughly twenty current_*_data() accessors, one per CMS measure file - a wide but static surface. The 2024 releases replaced that approach with metadata lookup plus generic fetchers, then taught the fetchers to handle CSV, Excel, and ZIP payloads rather than API responses alone. The package's weight has moved from what it ships to what it can retrieve.
With the fetch layer generalised, the next visible work is more likely record-limit and error handling around httr2 than further per-measure accessors.
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 gghighlight or healthyR.data.
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
A raster-to-terra migration is the only readable change in a feed of merge notes.
A nycflights13 generator whose recent work is all about the data being right.
Conditional density and log-likelihood fill out a vine copula regression package.
A drop-in string API for base R, kept alive by upstream check failures.
See all gghighlight alternatives → · See all healthyR.data alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. gghighlight and healthyR.data 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. gghighlight and healthyR.data 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 gghighlight alternatives in Analytics are ranked by recent ship velocity. Browse the "gghighlight alternatives" section above for the current picks, or visit /alternatives/gghighlight for the full list with editorial commentary on each.
Top healthyR.data alternatives in Analytics are ranked by recent ship velocity. Browse the "healthyR.data alternatives" section above for the current picks, or visit /alternatives/healthyr-data for the full list with editorial commentary on each.