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Comparison · Analytics
arulesViz vs epikit
A side-by-side editorial comparison of arulesViz and epikit — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
arulesViz vs epikit: at a glance
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.
What is epikit?
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.
arulesViz vs epikit: editorial side-by-side
arulesViz
0.0ANALYTICS
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.
epikit
0.0ANALYTICS
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
◆ Current state
epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.
◆ Where it's heading
The package is being scoped down rather than built out. The 0.1.3 restructuring and the 0.2.0 handover of proportions to epitabulate are the same move made twice: push functionality into the package where it belongs and keep epikit to the toolkit that field epidemiologists reach for directly. The rest of the history is dependency compatibility work against dplyr and tibble.
◆ Prediction
With proportions gone and dependencies trimmed, the remaining functions cluster tightly around dates and age bands, so further refinement of the date-reconstruction helpers is more likely than new capability areas.
Alternatives to arulesViz and epikit
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 epikit.
geodist
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors
errors keeps making uncertainty print the way each scientific field expects.
CMAQ
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls
enpls has not changed its statistics since 2016 — only its website, twice.
grex
grex is a lookup table with a version number — it ships when the annotation moves.
See all arulesViz alternatives → · See all epikit alternatives →
Recent activity from arulesViz and epikit
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 9mo agoepikitProportion functions moved to epitabulate; date helpers warn correctly
- 11mo agoarulesVizarulesViz 1.5.4: partial argument matches, translucent NA color
- 2y agoarulesVizarulesViz 1.5.3 moves docs to roxygen, updates deprecated calls
- 3y agoepikitFunctions rearranged across sibling packages
- 4y agoarulesVizarulesViz 1.5-1 extends graph and grouped-matrix plots
- 5y agoarulesVizarulesViz 1.5.0 makes ggplot2 the default plotting engine
- 5y agoarulesVizarulesViz 1.4-0 adds ggplot2 engines, drops plotly_arules and iplots
- 5y agoepikitRaise dplyr and tibble minimums; move CI to GitHub Actions
- 5y agoepikitCompatibility release for dplyr 1.0.0
- 6y agoepikitFirst CRAN release
- 7y agoarulesVizarulesViz 1.3-3 cleans up the ruleExplorer interface
Frequently asked questions
What is the difference between arulesViz and epikit?
Both compete on the same themes — r-package — within Analytics. arulesViz and epikit 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 epikit?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. arulesViz and epikit 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 epikit?
Top epikit alternatives in Analytics are ranked by recent ship velocity. Browse the "epikit alternatives" section above for the current picks, or visit /alternatives/epikit-r for the full list with editorial commentary on each.