tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
A side-by-side editorial comparison of arulesViz and protr — release velocity, themes, recent moves, and the top alternatives to consider.
arulesViz finished its move to ggplot2 and has been coasting on maintenance since.
arulesViz draws the association rules produced by arules — scatterplots, matrix and grouped-matrix views, rule graphs, and a Shiny explorer. The rendering foundation has been settled since 1.5.0 made ggplot2 the default engine for most plots. The two most recent releases contain no new capability: roxygen migration and deprecation catch-up in 1.5.3, and a partial-argument-match cleanup in 1.5.4 that landed the same week as the identical fix in sibling package seriation.
protr's feature set is finished; the work now is surviving Bioconductor's churn.
protr generates numerical descriptors from protein sequences for machine learning, plus alignment-based similarity between sequences. The descriptor functions have been stable for years. Recent releases divide cleanly into two kinds: extending the similarity computations to work under memory constraints, and absorbing the Bioconductor split that moved pairwise alignment out of Biostrings into pwalign.
arulesViz draws the association rules produced by arules — scatterplots, matrix and grouped-matrix views, rule graphs, and a Shiny explorer. The rendering foundation has been settled since 1.5.0 made ggplot2 the default engine for most plots. The two most recent releases contain no new capability: roxygen migration and deprecation catch-up in 1.5.3, and a partial-argument-match cleanup in 1.5.4 that landed the same week as the identical fix in sibling package seriation.
The 2021 releases were a deliberate consolidation. 1.4-0 added ggplot2 engines and cut plotly_arules and the experimental iplots support out of the interface; 1.5.0 promoted ggplot2 to default and exposed the conversions to igraph and matrix so users could build their own views; 1.5-1 filled gaps in the graph and grouped-matrix methods. Since then the package tracks its dependencies rather than extending itself, which is a reasonable end state for a mature visualization layer.
Expect continued reactive releases keyed to ggplot2 and igraph deprecations, which have driven two of the last three updates. Nothing in these entries suggests new plot methods are planned.
protr generates numerical descriptors from protein sequences for machine learning, plus alignment-based similarity between sequences. The descriptor functions have been stable for years. Recent releases divide cleanly into two kinds: extending the similarity computations to work under memory constraints, and absorbing the Bioconductor split that moved pairwise alignment out of Biostrings into pwalign.
The similarity side is where the remaining engineering goes, and it follows a consistent pattern — whatever parSeqSim() gained, crossSetSim() eventually gets. Batching, verbose progress and a disk-backed variant all arrived for the single-set case first and were mirrored for the cross-set case in 1.7-1. That is a maintainer closing feature-parity gaps rather than opening new directions, and the two most recent releases contain no user-facing change at all.
Expect the next release to react to another Bioconductor or R CMD check change, which accounts for three of the last four. The similarity functions now have parity, so there is no obvious internal backlog left.
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 arulesViz or protr.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
A single-purpose ggplot2 inset tool, refining the same three arguments.
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools stopped guarding its own object model and started accepting everyone else's.
The glue package that makes R carry units and uncertainty through the same calculation.
See all arulesViz alternatives → · See all protr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — maintenance-mode — within Analytics. arulesViz and protr 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. arulesViz and protr 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.
Top arulesViz alternatives in Analytics are ranked by recent ship velocity. Browse the "arulesViz alternatives" section above for the current picks, or visit /alternatives/arulesviz-r for the full list with editorial commentary on each.
Top protr alternatives in Analytics are ranked by recent ship velocity. Browse the "protr alternatives" section above for the current picks, or visit /alternatives/protr-r for the full list with editorial commentary on each.