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arulesViz vs pecan

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

Shared themes:r-package

arulesViz vs pecan: at a glance

FeaturearulesVizpecan
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesassociation-rules, visualization, ggplot2, maintenance-modeecosystem-modeling, data-assimilation, scientific-workflow, r-package
Last editorial update50m ago1h ago
WebsiteVisit →Visit →

What is arulesViz?

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.

Read the full arulesViz trajectory →

What is pecan?

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.

Read the full pecan trajectory →

arulesViz vs pecan: editorial side-by-side

A
arulesViz
ANALYTICS
0.0

arulesViz finished its move to ggplot2 and has been coasting on maintenance since.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

P
pecan
ANALYTICS
0.0

PEcAn v1.10 makes land-management events a first-class input and parallelises the whole SDA workflow

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to arulesViz and pecan

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.

See all arulesViz alternatives → · See all pecan alternatives →

Recent activity from arulesViz and pecan

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

  1. 7mo agopecanEvents schema, parallel SDA workflow, CH4 and N2O standard variables
  2. 11mo agoarulesVizarulesViz 1.5.4: partial argument matches, translucent NA color
  3. 1y agopecanAutomated pkgdown docs for all packages; qsub job-array support
  4. 1y agopecanLDNDC coupling, soilgrids carbon extraction, SDA observation prep
  5. 1y agopecanPFT-specific sensitivity analysis and BioCro 1.0 support
  6. 1y agopecanBioCro output renamed to PEcAn standard names; RCE fix
  7. 1y agopecanPEcAn.utils namespace cleanup; deprecated model2netcdf removed
  8. 2y agoarulesVizarulesViz 1.5.3 moves docs to roxygen, updates deprecated calls
  9. 4y agoarulesVizarulesViz 1.5-1 extends graph and grouped-matrix plots
  10. 5y agoarulesVizarulesViz 1.5.0 makes ggplot2 the default plotting engine
  11. 5y agoarulesVizarulesViz 1.4-0 adds ggplot2 engines, drops plotly_arules and iplots
  12. 7y agoarulesVizarulesViz 1.3-3 cleans up the ruleExplorer interface

Frequently asked questions

What is the difference between arulesViz and pecan?

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.

Is arulesViz better than pecan?

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.

What are the best alternatives to arulesViz?

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.

What are the best alternatives to pecan?

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.