HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of cvms and ipaddress — release velocity, themes, recent moves, and the top alternatives to consider.
A cross-validation package whose real development has moved to its plotting function
cvms runs repeated cross-validation over model formulas and reports comparable metrics. The 2.0.0 release was a breaking correctness fix: every function accepting fold_cols mismatched training and testing data when fold indices were non-sequential, did not start at 1, or were strings, because the iteration index was compared against the raw fold value rather than its factor level index. 2.0.1 restored coefficient extraction for nnet::multinom and mixed models by supplying an environment containing the training data, and followed lme4's move of findbars() into the reformulas package.
IP address vectors for R that hit 1.0 and then went quiet.
ipaddress gives R first-class IPv4 and IPv6 vector types with the arithmetic, netmask and subnet operations that come with them, backed by C++. The 1.0.0 release in 2023 was the deliberate breaking cleanup: one result per input from the hostname functions, vectorised subnets(), several arguments forced to be named, and a country_networks() downloader added. Since then the only release has been a testthat deprecation fix.
cvms runs repeated cross-validation over model formulas and reports comparable metrics. The 2.0.0 release was a breaking correctness fix: every function accepting fold_cols mismatched training and testing data when fold indices were non-sequential, did not start at 1, or were strings, because the iteration index was compared against the raw fold value rather than its factor level index. 2.0.1 restored coefficient extraction for nnet::multinom and mixed models by supplying an environment containing the training data, and followed lme4's move of findbars() into the reformulas package.
Two threads run in parallel and only one is about cross-validation. The plotting function plot_confusion_matrix() has absorbed most feature work since 1.5.0 - custom gradient palettes, intensity limits, per-tile settings, dynamic font colors keyed to value thresholds, and arguments that accept functions rather than constants - to the point where a companion web application exists for using it without code. The cross-validation core, by contrast, sees maintenance: upstream compatibility fixes for pROC, ggnewscale and ggplot2, and the fold-matching correction that finally forced a major version.
Expect continued option growth in the confusion matrix plotting surface, since that is where nearly every release since 1.5.0 has spent its changes, with core cross-validation changes arriving only as upstream packages force them.
ipaddress gives R first-class IPv4 and IPv6 vector types with the arithmetic, netmask and subnet operations that come with them, backed by C++. The 1.0.0 release in 2023 was the deliberate breaking cleanup: one result per input from the hostname functions, vectorised subnets(), several arguments forced to be named, and a country_networks() downloader added. Since then the only release has been a testthat deprecation fix.
The package reached the interface it wanted and stopped. The five releases before 1.0.0 were almost entirely CRAN check compliance — deprecated C++ calls, HTML5 notes, a Windows toolchain change — with functional work confined to a couple of releases that shed heavy dependencies. That pattern, long compliance runs punctuated by rare interface work, is what the feed shows now.
On this cadence the next release is most likely another CRAN or upstream-testing compliance patch; nothing in the entries indicates new functionality in progress.
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 cvms or ipaddress.
France's national flood statistics, ported out of Fortran and into R.
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
Fast design-based estimators for experiments, coasting on CRAN patches.
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
A column-key toolkit for stitching decades of ecological field data into one table.
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all cvms alternatives → · See all ipaddress alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. cvms and ipaddress are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). 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. cvms and ipaddress are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top cvms alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "cvms alternatives" section above for the current picks, or visit /alternatives/cvms for the full list with editorial commentary on each.
Top ipaddress alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ipaddress alternatives" section above for the current picks, or visit /alternatives/ipaddress for the full list with editorial commentary on each.