WPML
WPML made machine translation the default, and its point releases keep chasing WordPress and page builders.
A side-by-side editorial comparison of eratosthenes and legendry — release velocity, themes, recent moves, and the top alternatives to consider.
eratosthenes spends 0.1.0 hardening inputs rather than adding chronology methods.
eratosthenes does Bayesian estimation of archaeological chronologies from relative sequences, absolute constraints and artifact assemblages. The 0.0.9 line built out the inference diagnostics — traceplots, histograms, batch-means MCSE reporting, displacement estimation — and then consolidated artifact probability-density estimation into a single gibbs_ad_type(). The 0.1.0 tag turns outward instead, adding validators for every user-supplied structure and replacing seq_check() with a more informative seq_diag().
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.
eratosthenes does Bayesian estimation of archaeological chronologies from relative sequences, absolute constraints and artifact assemblages. The 0.0.9 line built out the inference diagnostics — traceplots, histograms, batch-means MCSE reporting, displacement estimation — and then consolidated artifact probability-density estimation into a single gibbs_ad_type(). The 0.1.0 tag turns outward instead, adding validators for every user-supplied structure and replacing seq_check() with a more informative seq_diag().
The package is moving from research code to something a non-author can run. Consolidating estimation behind one function, then wrapping every input class in a validator, are the two steps that make failures legible instead of cryptic, and the diagnostics added earlier serve the same end for the sampler itself. Nothing in the window changes the underlying model; the work is all about making it usable and its output checkable.
With inputs validated and diagnostics in place, the next release is more likely to extend the constraint or assemblage modelling than to keep reworking the interface, though the feed's three sparse tags give little to read a cadence from.
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.
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 eratosthenes or legendry.
WPML made machine translation the default, and its point releases keep chasing WordPress and page builders.
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.
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
See all eratosthenes alternatives → · See all legendry alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. eratosthenes 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. eratosthenes 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 eratosthenes alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "eratosthenes alternatives" section above for the current picks, or visit /alternatives/eratosthenes for the full list with editorial commentary on each.
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.