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arcgisutils vs vinereg

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

Shared themes:r-package

arcgisutils vs vinereg: at a glance

Featurearcgisutilsvinereg
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesarcgis, geospatial, api-client, authenticationr-package, copulas, regression, conditional-density
Last editorial update3h 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 vinereg?

Conditional density and log-likelihood fill out a vine copula regression package.

vinereg fits D-vine copula-based regression models on top of rvinecopulib and kde1d, in Thomas Nagler's package stack. The January 2025 pair - 0.10.0 and 0.11.0 tagged the same day - adds a pdf() function and then fixes conditional density computation for discrete variables while requiring the newer kde1d. Release notes run to one or two bullets each.

Read the full vinereg trajectory →

arcgisutils vs vinereg: 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.

V
vinereg
ANALYTICS
0.0

Conditional density and log-likelihood fill out a vine copula regression package.

◆ Current state

vinereg fits D-vine copula-based regression models on top of rvinecopulib and kde1d, in Thomas Nagler's package stack. The January 2025 pair - 0.10.0 and 0.11.0 tagged the same day - adds a pdf() function and then fixes conditional density computation for discrete variables while requiring the newer kde1d. Release notes run to one or two bullets each.

◆ Where it's heading

Work has concentrated on evaluation rather than fitting: cll() in 0.9.0, pdf() in 0.10.0, and the discrete-variable correction in 0.11.0 all concern what can be computed from a model already fitted. Releases arrive in same-day pairs, and the notes are terse enough that 0.10.0 reuses 0.9.0's wording verbatim, describing pdf() with cll()'s sentence. Version floors also track the sibling packages - kde1d here, rvinecopulib in 0.8.3.

◆ Prediction

Given the shared release rhythm across the stack, the next entry is as likely to be a dependency-driven bump as a new function; the discrete-variable path is the one area these notes show as recently unstable.

Alternatives to arcgisutils and vinereg

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 vinereg.

See all arcgisutils alternatives → · See all vinereg alternatives →

Recent activity from arcgisutils and vinereg

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

  1. 10mo agoarcgisutilsPortal administration and geoprocessing jobs join the utility layer
  2. 1y agovineregDiscrete conditional densities fixed; kde1d 1.1.0 required
  3. 1y agovineregpdf() added for conditional density
  4. 1y agoarcgisutilsIntegers no longer encoded as floats in feature updates
  5. 2y agoarcgisutilsFirst stable release rebuilds token handling around a token store
  6. 2y agovineregBoost compile flag and a weights error fixed
  7. 2y agovineregcll() computes conditional log-likelihood
  8. 4y agovineregvinecopulib floor raised for RcppThread compatibility
  9. 4y agovineregcpit() fixed and external marginals allowed via uscale

Frequently asked questions

What is the difference between arcgisutils and vinereg?

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

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

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