Retool
Retool is retiring standalone Assist while folding the same capability into the app builder.
A side-by-side editorial comparison of legendry and nuggets — release velocity, themes, recent moves, and the top alternatives to consider.
A ggplot2 extension quietly turning axes and legends into a place where other plots can live.
legendry extends ggplot2's guide system, letting axes and legends be composed from primitives and keys rather than accepted as given. The most recent release added guides for user-defined keys, upset matrices, arbitrary symbol placement, freeform annotations, and side-plots attached to an axis, plus a run-length-encoded range key and subtitles on custom axes. Between feature releases the package ships small patches, several of them tracking ggplot2's own changes.
nuggets keeps compounding on the 2.0 rewrite — more pattern families, lighter install.
nuggets searches for association rules, contrasts and other conditional patterns in the GUHA tradition, with a C++ core behind dig() and an interactive explore() app for reading results. Since the 2.0 rewrite of that core, every release has widened the same three surfaces: more pattern families to mine, more of explore() to inspect them in, and steady performance work underneath. The most recent tag optimises dig() on sparse crisp data with a sparse bit chain and adds clustering characteristics to explore() for association rules.
legendry extends ggplot2's guide system, letting axes and legends be composed from primitives and keys rather than accepted as given. The most recent release added guides for user-defined keys, upset matrices, arbitrary symbol placement, freeform annotations, and side-plots attached to an axis, plus a run-length-encoded range key and subtitles on custom axes. Between feature releases the package ships small patches, several of them tracking ggplot2's own changes.
The direction is toward treating a guide as a rendering slot rather than a label strip. Dendrogram scales arrived in 0.2.0 with a matching axis guide; the newest release adds side-plots and upset symbol matrices to the same position. Each of these puts real graphical content where an axis used to be, and each one ships with a key function so the composition stays user-controllable. Note that this feed's order is unreliable: 0.2.1 was published eight months after 0.2.4 and minutes before 0.3.0, so neither version numbers nor timestamps indicate release order here.
The pattern of pairing each new guide with a matching key function is consistent enough that the next feature release will likely follow it again; the recurring forwards-compatibility patches also suggest another ggplot2-tracking release whenever upstream moves.
nuggets searches for association rules, contrasts and other conditional patterns in the GUHA tradition, with a C++ core behind dig() and an interactive explore() app for reading results. Since the 2.0 rewrite of that core, every release has widened the same three surfaces: more pattern families to mine, more of explore() to inspect them in, and steady performance work underneath. The most recent tag optimises dig() on sparse crisp data with a sparse bit chain and adds clustering characteristics to explore() for association rules.
Two forces are shaping the package. One is coverage: baseline, complement and paired-baseline contrasts, correlations, tautologies, ancestors and clustering have all been added as first-class dig_ or explore_ surfaces, so the same search engine now answers a widening set of questions. The other is weight — Shiny packages moved from Imports to Suggests, BH and RcppThread dropped, XSIMD updated, parse_condition() rewritten in C++ — which keeps a package with an interactive app from forcing that app's dependencies on every user. Deprecations are handled through lifecycle rather than removed abruptly.
Expect the sparse-data optimisation to extend from crisp to fuzzy data, and explore() to keep gaining tabs as each new pattern family lands, on the roughly six-week cadence the 2.2 line has held.
Other Infra & APIs 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 legendry or nuggets.
Retool is retiring standalone Assist while folding the same capability into the app builder.
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A forest plot package that keeps handing users control of one more graphical detail.
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
See all legendry alternatives → · See all nuggets alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. nuggets is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. nuggets is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top legendry alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "legendry alternatives" section above for the current picks, or visit /alternatives/legendry for the full list with editorial commentary on each.
Top nuggets alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "nuggets alternatives" section above for the current picks, or visit /alternatives/nuggets for the full list with editorial commentary on each.