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Comparison · Infra & APIs
legendry vs rgm
A side-by-side editorial comparison of legendry and rgm — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
legendry vs rgm: at a glance
What is legendry?
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.
What is rgm?
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
rgm implements the random graphical model for microbiome interactions across related environments, published in JABES in 2026. The package was archived from CRAN in February 2026 because of its dependency on huge; the recovery release drops that dependency entirely, which cost it the graphical-lasso warm start that used to seed the initial graph — the default is now an empty graph, with warm starts left to the user. A post-processing function returning ggplot diagnostics arrived in the same release.
legendry vs rgm: editorial side-by-side
legendry
0.0INFRA · APIS
A ggplot2 extension quietly turning axes and legends into a place where other plots can live.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
rgm
0.0INFRA · APIS
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
◆ Current state
rgm implements the random graphical model for microbiome interactions across related environments, published in JABES in 2026. The package was archived from CRAN in February 2026 because of its dependency on huge; the recovery release drops that dependency entirely, which cost it the graphical-lasso warm start that used to seed the initial graph — the default is now an empty graph, with warm starts left to the user. A post-processing function returning ggplot diagnostics arrived in the same release.
◆ Where it's heading
Three tags shipped inside two hours on one day, and the notes are candid about why: 1.1.0 held the actual work but was never released, 1.2.0 restated it under a higher version to signal the size of the change, and 1.2.1 answered CRAN pre-test feedback. Beyond the archival recovery, the visible work is housekeeping that had accumulated — a shadowed rmvnorm() definition, roxygen import tags that were silently emitting nothing, leftover C++ template scaffolding, and build artifacts under version control. The diagnostics function is the only genuinely new user-facing capability in the window.
◆ Prediction
The immediate task was restoring availability, and that is done; the open question the entries raise is whether losing the graphical-lasso warm start affects convergence in practice, which the new diagnostic plots are positioned to answer.
Alternatives to legendry and rgm
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 rgm.
WPML
WPML made machine translation the default, and its point releases keep chasing WordPress and page builders.
forestploter
A forest plot package that keeps handing users control of one more graphical detail.
ggInterval
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
contagionchannels
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
tidyaudit
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
See all legendry alternatives → · See all rgm alternatives →
Recent activity from legendry and rgm
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agolegendryFive new guides, including side-plots and upset matrices on axes
- 3mo agolegendryPatch release: guide placement, sizing and gizmo key fixes
- 3mo agorgmJournal DOI replaces the preprint; promotional wording removed
- 3mo agorgmBack on CRAN after dropping the dependency that caused archival
- 3mo agorgmUnreleased twin of the CRAN recovery release
- 11mo agolegendryCRAN fix for undeclared S7 imports
- 11mo agolegendryColourbar sizing fix; sandwich guides gain label suppression
- 1y agolegendryForwards-compatibility patch for an upcoming ggplot2 release
- 1y agolegendryDendrogram scales and axis guide, plus a circle size guide
- 2y agorgmFirst release: simulation, estimation and post-processing
Frequently asked questions
What is the difference between legendry and rgm?
Both compete on the same themes — r-package — within Infra & APIs. legendry and rgm 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 legendry better than rgm?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. legendry and rgm 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to legendry?
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.
What are the best alternatives to rgm?
Top rgm alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "rgm alternatives" section above for the current picks, or visit /alternatives/rgm for the full list with editorial commentary on each.