fillpattern
Pattern fills for ggplot2, hardened against the ways users write sizes
Comparison · Analytics
antareseditobject vs rfm
A side-by-side editorial comparison of antareseditobject and rfm — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
antareseditobject vs rfm: at a glance
What is antareseditobject?
The write half of the Antares R toolchain, hitting 1.0 by tracking the simulator rather than stabilizing
antaresEditObject is the counterpart to antaresRead: it creates, edits and deletes Antares Simulator studies on disk or through the Antares Web API. Releases 0.9.0 through 0.9.3 each absorbed a simulator version — new short-term storage properties, dynamic cluster groups, changed time series dimensions, removed settings. Version 1.0.0 arrived in February 2026 carrying district endpoints and a dependency cut on antaresRead, and 1.0.1 followed with performance work on zip handling and job polling.
What is rfm?
A customer segmentation package that went quiet for six years and returned with dependency hygiene
rfm computes recency, frequency and monetary segmentation for customer analytics in R. The feature surface was set early: 0.1.0 shipped a Shiny app and customer-level input, 0.2.0 added default segments and median statistics, 0.2.1 added user-specified score thresholds and returnable plot objects. Then nothing for nearly six years. Version 0.4.0 in April 2026 fixes a missing-column error and a customer id fault, and moves plotly and gganimate from Suggests to Imports.
antareseditobject vs rfm: editorial side-by-side
antareseditobject
0.0ANALYTICS
The write half of the Antares R toolchain, hitting 1.0 by tracking the simulator rather than stabilizing
◆ Current state
antaresEditObject is the counterpart to antaresRead: it creates, edits and deletes Antares Simulator studies on disk or through the Antares Web API. Releases 0.9.0 through 0.9.3 each absorbed a simulator version — new short-term storage properties, dynamic cluster groups, changed time series dimensions, removed settings. Version 1.0.0 arrived in February 2026 carrying district endpoints and a dependency cut on antaresRead, and 1.0.1 followed with performance work on zip handling and job polling.
◆ Where it's heading
Two things separate this package from its read-only sibling. It is actively reducing coupling — 1.0.0 removed the binding-constraint dependency on antaresRead, and createBindingConstraintBulk() now reads study links and clusters once instead of repeatedly. And it is tuning for Antares Web as a remote service rather than a local file format: polling job status every 300 seconds instead of every second is a concession to a shared server, not a local workflow.
◆ Prediction
Expect continued alignment with each Antares Simulator release, with further API-mode optimizations as remote study editing rather than disk editing becomes the primary path.
rfm
0.0ANALYTICS
A customer segmentation package that went quiet for six years and returned with dependency hygiene
◆ Current state
rfm computes recency, frequency and monetary segmentation for customer analytics in R. The feature surface was set early: 0.1.0 shipped a Shiny app and customer-level input, 0.2.0 added default segments and median statistics, 0.2.1 added user-specified score thresholds and returnable plot objects. Then nothing for nearly six years. Version 0.4.0 in April 2026 fixes a missing-column error and a customer id fault, and moves plotly and gganimate from Suggests to Imports.
◆ Where it's heading
The 0.4.0 release says more about maintenance posture than about product direction — the version jump past 0.3.x with only two bug fixes and a dependency reshuffle suggests a package being brought back to a releasable state rather than resuming development. Promoting plotly and gganimate to Imports makes the visualization stack mandatory, which is a heavier install in exchange for a simpler code path. The core RFM computation itself has not changed in this window.
◆ Prediction
The entries show a package returning from dormancy rather than pursuing a roadmap, so further small fixes are more likely than new segmentation capability.
Alternatives to antareseditobject and rfm
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 antareseditobject or rfm.
gcube
gcube's recent releases are all packaging metadata, not simulation code
cubist
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
ggstats
ggstats keeps widening what a coefficient or Likert plot can be
ecodive
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
simStateSpace
State-space data simulation for R, filled in one function at a time
See all antareseditobject alternatives → · See all rfm alternatives →
Recent activity from antareseditobject and rfm
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agoantareseditobjectFaster zip handling and 300s job polling for Antares Web
- 3mo agorfmrfm 0.4.0
- 6mo agoantareseditobject1.0.0 adds district editing and drops the antaresRead dependency
- 8mo agoantareseditobjectAntares 9.3 support: dynamic cluster groups and new storage properties
- 10mo agoantareseditobjectAntares 9.2 support: new shedding policy and storage penalties
- 1y agoantareseditobjectAntares v9 study format plus binding-constraint fixes
- 6y agorfmrfm 0.2.2
- 6y agorfmrfm 0.2.1
- 7y agorfmrfm 0.2.0
- 8y agorfmrfm 0.1.1
- 8y agorfmrfm 0.1.0
Frequently asked questions
What is the difference between antareseditobject and rfm?
Both compete on the same themes — r-package — within Analytics. antareseditobject and rfm 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 antareseditobject better than rfm?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. antareseditobject and rfm 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 antareseditobject?
Top antareseditobject alternatives in Analytics are ranked by recent ship velocity. Browse the "antareseditobject alternatives" section above for the current picks, or visit /alternatives/antareseditobject for the full list with editorial commentary on each.
What are the best alternatives to rfm?
Top rfm alternatives in Analytics are ranked by recent ship velocity. Browse the "rfm alternatives" section above for the current picks, or visit /alternatives/rfm for the full list with editorial commentary on each.