paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
A side-by-side editorial comparison of arulesViz and pecan — 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.
PEcAn v1.10 makes land-management events a first-class input and parallelises the whole SDA workflow
PEcAn is a workflow framework for ecosystem modelling — it standardises meteorological and initial-condition inputs, drives a set of coupled process models such as SIPNET, ED2, BioCro and LDNDC, and runs uncertainty analysis and state data assimilation over the results. Version 1.10.0 adds an events schema with validation and a SIPNET writer, so disturbance and management events can be declared in JSON and turned into model input, and runs the entire SDA workflow in parallel. It also adds CH4 and N2O to the standard variable table and an AmeriFlux meteorological ensemble path with ERA5 fallback.
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.
PEcAn is a workflow framework for ecosystem modelling — it standardises meteorological and initial-condition inputs, drives a set of coupled process models such as SIPNET, ED2, BioCro and LDNDC, and runs uncertainty analysis and state data assimilation over the results. Version 1.10.0 adds an events schema with validation and a SIPNET writer, so disturbance and management events can be declared in JSON and turned into model input, and runs the entire SDA workflow in parallel. It also adds CH4 and N2O to the standard variable table and an AmeriFlux meteorological ensemble path with ERA5 fallback.
Two directions are visible. The framework keeps widening what it can represent — more standard variables, more carbon pools in BADM-based initial conditions, more coupled models — and it keeps industrialising the parts that used to be manual, from automated package documentation to qsub job-array expansion to parallel assimilation. The events schema is the first of these that gives users a declarative input format rather than a function to call, which is a different kind of extension than adding another model coupling.
The events schema currently has one model writer, for SIPNET, so the obvious next step is writers for the other coupled models — otherwise the format only benefits a single backend of the several PEcAn drives.
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 pecan.
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 pecan alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. arulesViz and pecan 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 pecan 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 pecan alternatives in Analytics are ranked by recent ship velocity. Browse the "pecan alternatives" section above for the current picks, or visit /alternatives/pecan-r for the full list with editorial commentary on each.