ggpointless
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
Comparison · Infra & APIs
mpactr vs prova
A side-by-side editorial comparison of mpactr and prova — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-packages
mpactr vs prova: at a glance
What is mpactr?
mpactr spent two spring releases normalizing case in metadata after users kept tripping on it.
mpactr filters mass-spectrometry peak tables — removing contaminants, ion duplicates and low-reproducibility features before downstream metabolomics analysis — with a data.table and Rcpp core. Development is slow and the recent releases are small. The May pair both address the same friction: column names and imported table names arriving in inconsistent case and failing to match.
What is prova?
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.
mpactr vs prova: editorial side-by-side
mpactr
0.0INFRA · APIS
mpactr spent two spring releases normalizing case in metadata after users kept tripping on it.
◆ Current state
mpactr filters mass-spectrometry peak tables — removing contaminants, ion duplicates and low-reproducibility features before downstream metabolomics analysis — with a data.table and Rcpp core. Development is slow and the recent releases are small. The May pair both address the same friction: column names and imported table names arriving in inconsistent case and failing to match.
◆ Where it's heading
The package is stabilizing its input contract rather than growing its filtering methods. Metadata column names are now forced lowercase inside import_data() regardless of how the file was written, imported peak_tables names not present in the injection column are lowercased too, and get_meta_data() was renamed to get_metadata() in the same pass. Before that the work was infrastructural — Rcpp introduced to speed up filtering, data.table moved from Depends to Imports, and memory errors cleared so the package passes Valgrind and both sanitizers. Note the earliest entry compares against a v1.0.0 tag that precedes 0.1.0 in the repository, so version ordering in this feed is not reliable.
◆ Prediction
The case-normalization work has now touched both metadata columns and peak table names across two consecutive releases, which suggests the input-matching problem is not fully closed and a third pass is plausible. Nothing in these entries points to new filtering methods.
prova
6.3INFRA · APIS
prova adds expected-utility calculation on top of its Bayesian inference core.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to mpactr and prova
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 mpactr or prova.
surveytidy
surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.
surveycore
surveycore declared its API stable with every survey design type covered.
PEIMAN2
PEIMAN2 cut its annotation database loose from its release cycle without breaking CRAN.
prospectr
prospectr spent its biggest release in years fixing spectra it had been quietly mangling.
standardlastprofile
A German electricity load-profile package added gas and doubled the market it serves.
See all mpactr alternatives → · See all prova alternatives →
Recent activity from mpactr and prova
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 13d agoprovaexputility() brings decision analysis into prova ⚡
- 20d agoprovaCumulative 2.x notes, plus hist() and mutual-information changes
- 23d agoprovalearnt= becomes K=; pplot() replaces two plot functions
- 28d agoprovaFix for pre-existing parallel clusters
- 28d agoprovaextraDistr dropped; mutual-information objects get a class
- 3mo agompactrPeak table names lowercased when absent from the injection column
- 3mo agompactrMetadata column names forced lowercase; get_metadata() renamed
- 10mo agompactrValgrind and sanitizer memory issues cleared
- 1y agompactrRcpp added to speed up filtering; data.table moved to Imports
- 1y agompactrmpactr 0.1.0
Frequently asked questions
What is the difference between mpactr and prova?
Both compete on the same themes — r-packages — within Infra & APIs. 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.
Is mpactr better than prova?
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.
What are the best alternatives to mpactr?
Top mpactr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mpactr alternatives" section above for the current picks, or visit /alternatives/mpactr for the full list with editorial commentary on each.
What are the best alternatives to prova?
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.