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arulesViz vs SimInf

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

Shared themes:r-package

arulesViz vs SimInf: at a glance

FeaturearulesVizSimInf
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesassociation-rules, visualization, ggplot2, maintenance-modeepidemiology, stochastic-simulation, bayesian-inference, r-package
Last editorial update49m 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 SimInf?

SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series

SimInf simulates stochastic disease spread over networks of nodes, with a model parser that compiles user-specified transitions to C. Version 10.0.0 was a deliberate major break: the SimInf_pfilter S4 class and the bootstrap filtering interface were redesigned, a replicates slot was added to SimInf_model, a multi-particle variant of the split-step solver arrived, and the package gained Particle Markov Chain Monte Carlo fitting against observed time series. The follow-up 10.1.0 is a single zero-length memcpy fix found by CRAN's M1 checks.

Read the full SimInf trajectory →

arulesViz vs SimInf: 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.

S
SimInf
ANALYTICS
0.0

SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series

◆ Current state

SimInf simulates stochastic disease spread over networks of nodes, with a model parser that compiles user-specified transitions to C. Version 10.0.0 was a deliberate major break: the SimInf_pfilter S4 class and the bootstrap filtering interface were redesigned, a replicates slot was added to SimInf_model, a multi-particle variant of the split-step solver arrived, and the package gained Particle Markov Chain Monte Carlo fitting against observed time series. The follow-up 10.1.0 is a single zero-length memcpy fix found by CRAN's M1 checks.

◆ Where it's heading

The package has been moving from simulation toward inference for several releases. The 9.x line built the input side — utilities for cleaning raw individual event data, variables and enumeration constants in the model parser — and 10.0.0 closed the loop by making the simulator fittable to data through PMCMC. The version number was incremented precisely because that required breaking the particle filter interface.

◆ Prediction

Fitting machinery this new usually needs a second pass on usability, so the next releases most likely focus on diagnostics and documentation around PMCMC rather than on the simulation core, which has been stable across the whole 9.x and 10.x history.

Alternatives to arulesViz and SimInf

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 SimInf.

See all arulesViz alternatives → · See all SimInf alternatives →

Recent activity from arulesViz and SimInf

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

  1. 9mo agoSimInfAvoid memcpy on zero-length continuous state vector
  2. 9mo agoSimInfPMCMC fitting arrives; particle filter interface redesigned
  3. 11mo agoarulesVizarulesViz 1.5.4: partial argument matches, translucent NA color
  4. 2y agoSimInfDocumentation link anchors; parser dependency fix
  5. 2y agoarulesVizarulesViz 1.5.3 moves docs to roxygen, updates deprecated calls
  6. 2y agoSimInfModel parser gains variables and enumeration constants
  7. 2y agoSimInfindividual_events() added for raw event data cleaning
  8. 3y agoSimInfConfigure script uses R to locate the compiler
  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 SimInf?

Both compete on the same themes — r-package — within Analytics. arulesViz and SimInf 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 SimInf?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. arulesViz and SimInf 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 SimInf?

Top SimInf alternatives in Analytics are ranked by recent ship velocity. Browse the "SimInf alternatives" section above for the current picks, or visit /alternatives/siminf-r for the full list with editorial commentary on each.