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arcgisutils vs rempsyc

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

Shared themes:r-package

arcgisutils vs rempsyc: at a glance

Featurearcgisutilsrempsyc
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesarcgis, geospatial, api-client, authenticationapa-formatting, psychology-research, statistical-tables, ggplot2
Last editorial update1h 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 rempsyc?

Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.

rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.

Read the full rempsyc trajectory →

arcgisutils vs rempsyc: 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.

R
rempsyc
ANALYTICS
0.0

Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.

◆ Current state

rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.

◆ Where it's heading

Two forces drive this package and neither is its own roadmap. The first is APA style: when the 7th edition advised against beta for standardized coefficients, the package switched its output to italic b with an asterisk. The second is the surrounding ecosystem — formatting is aligned to what lavaanExtra and afex produce, contrast handling was delegated to easystats' modelbased, and Excel correlation matrix export was handed entirely to the correlation package to cut maintenance.

◆ Prediction

The pattern of delegating functionality to specialist packages while keeping the formatting layer is well established and likely continues. Because releases bundle many small dev versions, the next one will probably again mix plotting refinements with fixes surfaced by upstream changes.

Alternatives to arcgisutils and rempsyc

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 rempsyc.

See all arcgisutils alternatives → · See all rempsyc alternatives →

Recent activity from arcgisutils and rempsyc

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

  1. 10mo agoarcgisutilsPortal administration and geoprocessing jobs join the utility layer
  2. 11mo agorempsycPoint labels and per-group correlations added to nice_scatter
  3. 1y agorempsycExcel correlation export delegated to the correlation package
  4. 1y agoarcgisutilsIntegers no longer encoded as floats in feature updates
  5. 2y agorempsycTable spacing control and a fix for name collision with afex
  6. 2y agoarcgisutilsFirst stable release rebuilds token handling around a token store
  7. 2y agorempsycStandardized coefficients switch to APA 7th edition b* notation
  8. 2y agorempsycLegend and standardization-check fixes
  9. 2y agorempsycnice_table starts coercing model objects automatically

Frequently asked questions

What is the difference between arcgisutils and rempsyc?

Both compete on the same themes — r-package — within Analytics. arcgisutils and rempsyc 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 rempsyc?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. arcgisutils and rempsyc 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 rempsyc?

Top rempsyc alternatives in Analytics are ranked by recent ship velocity. Browse the "rempsyc alternatives" section above for the current picks, or visit /alternatives/rempsyc for the full list with editorial commentary on each.