simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of arcgisutils and gghighlight — release velocity, themes, recent moves, and the top alternatives to consider.
The R-ArcGIS plumbing layer grew a portal administration API and geoprocessing job support.
arcgisutils is the foundation of the R interface to ArcGIS — token handling, standardized httr2 request construction, and conversion between Esri JSON and R types for the packages built on top of it. Version 0.4.0 in October 2025 broadened it well past that role, adding functions to enumerate a portal's federated servers, users and resources, search content with automatic pagination, and submit geoprocessing jobs through new S7 classes. Token management has been on its current footing since 0.2.0, which moved tokens into an internal environment supporting multiple named keys.
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().
arcgisutils is the foundation of the R interface to ArcGIS — token handling, standardized httr2 request construction, and conversion between Esri JSON and R types for the packages built on top of it. Version 0.4.0 in October 2025 broadened it well past that role, adding functions to enumerate a portal's federated servers, users and resources, search content with automatic pagination, and submit geoprocessing jobs through new S7 classes. Token management has been on its current footing since 0.2.0, which moved tokens into an internal environment supporting multiple named keys.
The package is expanding from request plumbing into direct coverage of the ArcGIS Enterprise administrative and geoprocessing surface, which is a different kind of work from what it existed to support. Much of the new surface is marked experimental, so the shape is still being settled. Alongside the expansion runs steady API tidying — three deprecations and two functions removed outright in the same release, one of which dropped the dbplyr dependency.
The experimental sharing-API and URL-parsing functions are the most likely to change or firm up next, and the geoprocessing classes suggest job execution will be built out further. Given this package sits beneath arcgislayers, the deprecations introduced here will need a corresponding pass downstream.
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.
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 arcgisutils or gghighlight.
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 arcgisutils alternatives → · See all gghighlight alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. arcgisutils and gghighlight 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. arcgisutils and gghighlight 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 arcgisutils alternatives in Analytics are ranked by recent ship velocity. Browse the "arcgisutils alternatives" section above for the current picks, or visit /alternatives/arcgisutils for the full list with editorial commentary on each.
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.