ggpointless
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
A side-by-side editorial comparison of prova and Rmonize — release velocity, themes, recent moves, and the top alternatives to consider.
prova adds expected-utility calculation on top of its Bayesian inference core.
prova does Bayesian nonparametric inference in R — probabilities through Pr() and qPr(), mutual information, quantile plots. Five releases in about two weeks renamed its central argument, collapsed two plotting functions into one, and then in v2.3.0 introduced exputility() for expected utilities and their revisability, with plot() and print() methods attached from the start.
Collapsed a pile of parameters into one object and renamed every report column
Rmonize supports data harmonization: taking heterogeneous input datasets, applying processing rules against a DataSchema, and producing a harmonized dossier with assessment, summary and visual reports. Version 2.0.0 reshaped how that is driven — the evaluate, summarize and visualize functions now take the dossier alone rather than six or seven parallel arguments — and renamed every column in the assessment and summary outputs into plain language. The package is closely coupled to madshapR, whose changes the notes warn may require updates to existing user code.
prova does Bayesian nonparametric inference in R — probabilities through Pr() and qPr(), mutual information, quantile plots. Five releases in about two weeks renamed its central argument, collapsed two plotting functions into one, and then in v2.3.0 introduced exputility() for expected utilities and their revisability, with plot() and print() methods attached from the start.
Two arcs run in parallel. One compresses the API: learnt= became K=, flexiplot() and plotquantiles() merged into pplot(), and omitting arguments such as Y=, X= and K= got simpler. The other extends reach — mutualinfoF() for finite-domain variates, quantile accuracy reported alongside mutual information, and now a decision-theoretic layer sitting on the inference the package already did.
exputility() shipping with print() and plot() methods matches how the probability and mutual-information classes were treated, so utilities are likely to get the same class-based handling as they mature. The notes do not say whether decision analysis extends beyond expected utility.
Rmonize supports data harmonization: taking heterogeneous input datasets, applying processing rules against a DataSchema, and producing a harmonized dossier with assessment, summary and visual reports. Version 2.0.0 reshaped how that is driven — the evaluate, summarize and visualize functions now take the dossier alone rather than six or seven parallel arguments — and renamed every column in the assessment and summary outputs into plain language. The package is closely coupled to madshapR, whose changes the notes warn may require updates to existing user code.
The arc runs from correctness toward interface. Version 1.0.1 was bug fixes found on real data, 1.1.0 added a debug parameter so harmonization could be tested with incomplete inputs, and 2.0.0 is a deliberate simplification that breaks existing code in exchange for a smaller surface. Renaming outputs from expressions like 'Categories::missing' and 'Nb. non-valid values' to 'Non-valid categories' and 'Number of non-valid values' points at reports being read by people who are not the person who wrote the harmonization rules.
Expect the superseded parameters and the renamed demo object to be removed outright rather than left superseded, and continued work on the visual reports, which carry the largest volume of referenced issues across all three versions.
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 prova or Rmonize.
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
mpactr spent two spring releases normalizing case in metadata after users kept tripping on it.
surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.
surveycore declared its API stable with every survey design type covered.
PEIMAN2 cut its annotation database loose from its release cycle without breaking CRAN.
prospectr spent its biggest release in years fixing spectra it had been quietly mangling.
See all prova alternatives → · See all Rmonize alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. prova is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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. prova is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 prova alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "prova alternatives" section above for the current picks, or visit /alternatives/prova for the full list with editorial commentary on each.
Top Rmonize alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Rmonize alternatives" section above for the current picks, or visit /alternatives/rmonize for the full list with editorial commentary on each.