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Comparison · Analytics
arulesViz vs filearray
A side-by-side editorial comparison of arulesViz and filearray — release velocity, themes, recent moves, and the top alternatives to consider.
arulesViz vs filearray: 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 filearray?
The on-disk array layer under RAVE spends its releases hunting segfaults.
filearray stores large arrays on disk and reads them back with little memory overhead, serving as the storage substrate for the RAVE intracranial EEG stack. The 0.2.2 release fixes out-of-bound indexing that caused segfaults along certain margins and an ASAN-flagged signed integer overflow in the load path. The user-facing API has been stable since 0.1.6.
arulesViz vs filearray: 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.
filearray
0.0ANALYTICS
The on-disk array layer under RAVE spends its releases hunting segfaults.
◆ Current state
filearray stores large arrays on disk and reads them back with little memory overhead, serving as the storage substrate for the RAVE intracranial EEG stack. The 0.2.2 release fixes out-of-bound indexing that caused segfaults along certain margins and an ASAN-flagged signed integer overflow in the load path. The user-facing API has been stable since 0.1.6.
◆ Where it's heading
This is infrastructure whose release history reads as a memory-safety log: unprotected C++ variables, buffer sizes exceeding array length, allocations one byte short, endianness on big-endian platforms, and now out-of-bound margins caught by sanitizers. The one sustained feature direction is reducing the cost of operating on arrays too large for memory — lazy operator evaluation through a proxy class, fmap-style application, and marginal collapse. Portability work has steadily removed hard requirements, dropping the C++11 declaration and swapping OpenMP for TinyThreads to get parallelism on macOS.
◆ Prediction
Expect continued sanitizer-driven patches rather than new interfaces; the three-year gap before 0.2.2 suggests releases now arrive only when a crash or a CRAN check demands one.
Alternatives to arulesViz and filearray
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 filearray.
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 filearray alternatives →
Recent activity from arulesViz and filearray
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agofilearraySegfault on out-of-bound margins fixed
- 11mo agoarulesVizarulesViz 1.5.4: partial argument matches, translucent NA color
- 2y agoarulesVizarulesViz 1.5.3 moves docs to roxygen, updates deprecated calls
- 3y agofilearrayLazy operator evaluation and macOS parallelism
- 3y agofilearraySequential read bug in fmap corrected
- 4y agofilearrayPartition limit removed by opening files on demand
- 4y agofilearrayHeader signatures and symbolic link detection
- 4y agofilearrayFlush timing left to the operating system
- 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
- 7y agoarulesVizarulesViz 1.3-3 cleans up the ruleExplorer interface
Frequently asked questions
What is the difference between arulesViz and filearray?
They serve adjacent needs but don't currently overlap on shipped themes. arulesViz and filearray 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 filearray?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. arulesViz and filearray 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 filearray?
Top filearray alternatives in Analytics are ranked by recent ship velocity. Browse the "filearray alternatives" section above for the current picks, or visit /alternatives/filearray-r for the full list with editorial commentary on each.