rollupTree
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Comparison · Infra & APIs
prova vs sdcMicro
A side-by-side editorial comparison of prova and sdcMicro — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-packages
prova vs sdcMicro: at a glance
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.
What is sdcMicro?
A 20-year anonymization toolbox now has a language model inside its refinement loop.
sdcMicro is the reference R implementation of statistical disclosure control — k-anonymity, local suppression, PRAM, microaggregation, record swapping — used by national statistical offices, with a Shiny GUI (sdcApp) as its second face. The feed shows a long GUI-maintenance era through 2018-2022 and then a gap, and the package that reappears in 5.8.2 has an AI_applyAnonymization() workflow and a query_llm() helper that the older entries know nothing about. The July release tunes that loop rather than introducing it.
prova vs sdcMicro: editorial side-by-side
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.
sdcMicro
0.0INFRA · APIS
A 20-year anonymization toolbox now has a language model inside its refinement loop.
◆ Current state
sdcMicro is the reference R implementation of statistical disclosure control — k-anonymity, local suppression, PRAM, microaggregation, record swapping — used by national statistical offices, with a Shiny GUI (sdcApp) as its second face. The feed shows a long GUI-maintenance era through 2018-2022 and then a gap, and the package that reappears in 5.8.2 has an AI_applyAnonymization() workflow and a query_llm() helper that the older entries know nothing about. The July release tunes that loop rather than introducing it.
◆ Where it's heading
Two threads run in parallel. The visible one is the LLM-assisted anonymization path maturing: 5.8.2 gives its refinement loop early stopping via tol and patience so it stops when the combined utility score plateaus instead of burning all max_iter rounds, and teaches query_llm() to drop the temperature parameter for reasoning models that reject it. The other is unglamorous statistical correctness — a distinct l-diversity computation fixed for NAs in key variables, with the C++ simplified and tests added. The release also ships reproducibility scripts for a SoftwareX paper, which suggests the AI path is being written up rather than quietly trialled.
◆ Prediction
The provider-compatibility fix is reactive — a parameter dropped because one model family rejected it — so expect more of the same as query_llm() meets other backends. Given tol and patience were added to stop wasted iterations, cost or runtime of the refinement loop is the live concern, and further controls on it are the likeliest next move.
Alternatives to prova and sdcMicro
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 sdcMicro.
massProps
A mass-properties rollup spends a year on documentation and follows its sibling's API
writeAlizer
Six months of releases and not one of them touched the scoring models
samplr
A cognitive-science sampling package ships once, then goes quiet for eighteen months
stochvol
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
midr
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
See all prova alternatives → · See all sdcMicro alternatives →
Recent activity from prova and sdcMicro
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
- 1mo agosdcMicroEarly stopping for the AI anonymization loop, plus GPT-5.x support
- 4y agosdcMicrorecordSwap() adds targeted record swapping
- 5y agosdcMicroTwo new information-loss measures and a run of sdcApp fixes
- 5y agosdcMicroCompatibility fixes for R 4.1 sorting and rsconnect deployment
- 8y agosdcMicroMinor release, mostly GUI work
- 8y agosdcMicrodUtility() corrected so IL1 and IL1s can be distinguished
Frequently asked questions
What is the difference between prova and sdcMicro?
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 prova better than sdcMicro?
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 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.
What are the best alternatives to sdcMicro?
Top sdcMicro alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "sdcMicro alternatives" section above for the current picks, or visit /alternatives/sdcmicro for the full list with editorial commentary on each.