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arulesViz vs qtl

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

Shared themes:r-package

arulesViz vs qtl: at a glance

FeaturearulesVizqtl
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesassociation-rules, visualization, ggplot2, maintenance-modegenetics, qtl-mapping, statistical-genomics, 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 qtl?

R/qtl is in pure custodial mode: every recent release answers a compiler, not a user

R/qtl is the long-established R package for QTL mapping in experimental crosses, covering interval mapping, composite interval mapping, multiple-QTL model fitting and the associated cross data formats. Nothing in the recent release history adds capability. Version 1.74 removes an include that started warning on CRAN, 1.72 improves an error message in cim(), and 1.70 migrates the C code from Calloc/Realloc/Free to their R_-prefixed equivalents for R-devel.

Read the full qtl trajectory →

arulesViz vs qtl: 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.

Q
qtl
ANALYTICS
0.0

R/qtl is in pure custodial mode: every recent release answers a compiler, not a user

◆ Current state

R/qtl is the long-established R package for QTL mapping in experimental crosses, covering interval mapping, composite interval mapping, multiple-QTL model fitting and the associated cross data formats. Nothing in the recent release history adds capability. Version 1.74 removes an include that started warning on CRAN, 1.72 improves an error message in cim(), and 1.70 migrates the C code from Calloc/Realloc/Free to their R_-prefixed equivalents for R-devel.

◆ Where it's heading

The package is being maintained, not developed. The work divides cleanly into keeping the compiled code building against successive R and toolchain versions, and fixing narrow bugs reported through the issue tracker. The C-level migrations in particular are compliance with R's tightening of its C interface rather than anything chosen. Users should read the stability as maturity: the analysis surface has been fixed for years and the maintainer is keeping it installable.

◆ Prediction

R has continued to restrict its non-API C entry points, and this package has already made two such migrations, so further compile-time compliance work is the most likely content of the next release.

Alternatives to arulesViz and qtl

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 qtl.

See all arulesViz alternatives → · See all qtl alternatives →

Recent activity from arulesViz and qtl

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

  1. 8mo agoqtlRemove R_ext/PrtUtil.h include flagged by CRAN
  2. 8mo agoqtlClearer cim() error when multiple phenotypes are passed
  3. 11mo agoarulesVizarulesViz 1.5.4: partial argument matches, translucent NA color
  4. 1y agoqtlC memory calls migrated to R_Calloc/R_Realloc/R_Free
  5. 2y agoarulesVizarulesViz 1.5.3 moves docs to roxygen, updates deprecated calls
  6. 2y agoqtlFix Rprintf call and remaining compiler warnings
  7. 2y agoqtlFix summary.scanone() thresholds and csvs phenotype reading
  8. 3y agoqtlFix addint()/addcovarint() with X chromosome QTL and missing phenotypes
  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 qtl?

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

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

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