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arcgisutils vs reliaplotr

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

Shared themes:r-package

arcgisutils vs reliaplotr: at a glance

Featurearcgisutilsreliaplotr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesarcgis, geospatial, api-client, authenticationreliability-engineering, r-package, plotly, mcp
Last editorial update44m ago4h 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 reliaplotr?

The Weibull plotting package renamed itself, then handed its charts to AI assistants.

ReliaPlotR draws interactive reliability plots with plotly — probability plots, contour plots, Duane and reliability growth charts, accelerated life testing plots by stress level, mean cumulative function curves for repairable systems, and exposure plots. It was WeibullR.plotly until late 2025, and the rename tracked a real widening of scope rather than just a label change. The current release adds tidy extractors that turn fitted model objects into data frames, and an MCP server exposing five of its fit and plot functions as tools.

Read the full reliaplotr trajectory →

arcgisutils vs reliaplotr: 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
reliaplotr
ANALYTICS
0.0

The Weibull plotting package renamed itself, then handed its charts to AI assistants.

◆ Current state

ReliaPlotR draws interactive reliability plots with plotly — probability plots, contour plots, Duane and reliability growth charts, accelerated life testing plots by stress level, mean cumulative function curves for repairable systems, and exposure plots. It was WeibullR.plotly until late 2025, and the rename tracked a real widening of scope rather than just a label change. The current release adds tidy extractors that turn fitted model objects into data frames, and an MCP server exposing five of its fit and plot functions as tools.

◆ Where it's heading

The package has been following its analysis siblings function for function: as accelerated life testing and repairable systems modelling landed in the wider suite, the matching plot types appeared here, and when the growth-analysis package shipped an MCP server, this one followed two weeks later. The tidy extractors point the same way — a plotting package that can also return parameter estimates, goodness-of-fit metrics, and confidence bounds as tidy frames is one designed to be consumed programmatically, by a pipeline or an assistant, not only read on screen. Overlaying multiple model fits on a single plot has been a recurring request answered across several releases.

◆ Prediction

Expect the tidy extractor and MCP tool surfaces to keep expanding together, since each new plot type in the suite now implies both a chart and a machine-readable version of what it shows.

Alternatives to arcgisutils and reliaplotr

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 reliaplotr.

See all arcgisutils alternatives → · See all reliaplotr alternatives →

Recent activity from arcgisutils and reliaplotr

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

  1. 2mo agoreliaplotrTidy model extractors plus five plotting tools over MCP
  2. 2mo agoreliaplotrNHPP plots switch to the mean cumulative function
  3. 4mo agoreliaplotrAccelerated life testing and repairable systems plots added
  4. 8mo agoreliaplotrDuane plots gain confidence bounds
  5. 9mo agoreliaplotrReliaPlotR v0.4.1
  6. 10mo agoreliaplotrRenamed from WeibullR.plotly to ReliaPlotR
  7. 10mo agoarcgisutilsPortal administration and geoprocessing jobs join the utility layer
  8. 1y agoarcgisutilsIntegers no longer encoded as floats in feature updates
  9. 2y agoarcgisutilsFirst stable release rebuilds token handling around a token store

Frequently asked questions

What is the difference between arcgisutils and reliaplotr?

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

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

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