paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
A side-by-side editorial comparison of arulesViz and citeme — 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.
Citation metadata machinery breaks out of INBO's checklist package to stand on its own.
citeme handles citation metadata for research software and organisations — building citation files, validating ORCIDs, RORs, licenses and URLs, and prompting for the pieces interactively. It was extracted from the checklist package in 0.1.0 and has spent the four releases since fleshing out organisational roles, most visibly publishers.
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.
citeme handles citation metadata for research software and organisations — building citation files, validating ORCIDs, RORs, licenses and URLs, and prompting for the pieces interactively. It was extracted from the checklist package in 0.1.0 and has spent the four releases since fleshing out organisational roles, most visibly publishers.
Development is running in tight monthly increments along two tracks: modelling who is attached to a piece of research software, and smoothing the interactive prompts that collect it. The publisher role added in 0.1.1 propagated through validation, community detection and YAML handling over the next two releases, which is how this package tends to land a concept — introduce the class field, then follow it everywhere it needs to reach.
Expect the interactive ask_* family to keep growing alongside whatever metadata field is being modelled next, and further alignment with the checklist package it was carved out of.
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 citeme.
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors keeps making uncertainty print the way each scientific field expects.
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls has not changed its statistics since 2016 — only its website, twice.
grex is a lookup table with a version number — it ships when the annotation moves.
See all arulesViz alternatives → · See all citeme alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. arulesViz and citeme 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 citeme 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 citeme alternatives in Analytics are ranked by recent ship velocity. Browse the "citeme alternatives" section above for the current picks, or visit /alternatives/citeme-r for the full list with editorial commentary on each.