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arcgisutils vs gghighlight

A side-by-side editorial comparison of arcgisutils and gghighlight — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

arcgisutils vs gghighlight: at a glance

Featurearcgisutilsgghighlight
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesarcgis, geospatial, api-client, authenticationggplot2, data-visualisation, ggplot-extension, upstream-compat
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is arcgisutils?

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.

Read the full arcgisutils trajectory →

What is gghighlight?

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().

Read the full gghighlight trajectory →

arcgisutils vs gghighlight: editorial side-by-side

A
arcgisutils
ANALYTICS
0.0

The R-ArcGIS plumbing layer grew a portal administration API and geoprocessing job support.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

G
gghighlight
ANALYTICS
0.0

A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.

◆ Current state

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().

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to arcgisutils and gghighlight

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.

See all arcgisutils alternatives → · See all gghighlight alternatives →

Recent activity from arcgisutils and gghighlight

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 10mo agoarcgisutilsPortal administration and geoprocessing jobs join the utility layer
  2. 1y agogghighlightggplot2 v4.0 support; geom-specific functions removed
  3. 1y agoarcgisutilsIntegers no longer encoded as floats in feature updates
  4. 2y agoarcgisutilsFirst stable release rebuilds token handling around a token store
  5. 2y agogghighlightTest expectations updated for upcoming ggplot2
  6. 3y agogghighlightline_label_type adds geomtextpath and second-axis labelling
  7. 4y agogghighlightDeprecated dplyr::across() usage removed
  8. 5y agogghighlightExplicit NULL in unhighlighted_params preserved; aesthetic name clash fixed
  9. 5y agogghighlightDiscrete-scale labels and n() predicates

Frequently asked questions

What is the difference between arcgisutils and gghighlight?

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.

Is arcgisutils better than gghighlight?

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.

What are the best alternatives to arcgisutils?

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.

What are the best alternatives to gghighlight?

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.