ggpointless
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
A side-by-side editorial comparison of prova and watcher — 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.
watcher is a thin filesystem-events binding whose releases are mostly build work.
The package wraps libfswatch in an R6 Watcher class for monitoring files and directories. Seven releases over sixteen months have added a vector path argument and two accessor methods, and spent the rest of their effort on build portability — non-standard system library locations, Windows bi-arch source builds on old rtools, and most recently removing the cmake requirement so the bundled source compiles with the R toolchain alone.
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.
The package wraps libfswatch in an R6 Watcher class for monitoring files and directories. Seven releases over sixteen months have added a vector path argument and two accessor methods, and spent the rest of their effort on build portability — non-standard system library locations, Windows bi-arch source builds on old rtools, and most recently removing the cmake requirement so the bundled source compiles with the R toolchain alone.
The API is deliberately small and appears finished; the work that remains is making the C dependency install cleanly everywhere. Dropping cmake follows the same move nanonext made, which is not a coincidence — both come from the same author and both are aiming at environments where installing a build system is not an option.
With cmake gone and the bundled library current, further releases are most likely to track libfswatch upstream rather than extend the R interface.
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 watcher.
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 watcher 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 watcher alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "watcher alternatives" section above for the current picks, or visit /alternatives/watcher for the full list with editorial commentary on each.