HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of cvms and ltertools — 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.
A column-key toolkit for stitching decades of ecological field data into one table.
ltertools serves the Long Term Ecological Research network, where the same measurement carries a different column name at every site and in every era. Its core is a column key: begin_key drafts one, harmonize applies it, and the 2.0.0 release added check_key to validate a key and standardize to apply one to a single dataset. Harmonization of files above 5 MB now runs in roughly half the time.
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.
ltertools serves the Long Term Ecological Research network, where the same measurement carries a different column name at every site and in every era. Its core is a column key: begin_key drafts one, harmonize applies it, and the 2.0.0 release added check_key to validate a key and standardize to apply one to a single dataset. Harmonization of files above 5 MB now runs in roughly half the time.
Development has moved from breadth to depth. The first year added assorted utilities — temperature conversion, solar day length, a site timeline — while the last two releases have concentrated on the key workflow itself: incremental key expansion, validation, per-dataset application, and speed. A dependency archival forced the removal of the JSON helper, trimming the package back toward that core.
The key workflow now has draft, expand, check and apply steps, so the remaining gap is diagnostics on the harmonized output; the entries show no other thread 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 ltertools.
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.
IP address vectors for R that hit 1.0 and then went quiet.
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all cvms alternatives → · See all ltertools alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. cvms and ltertools 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 ltertools 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 ltertools alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ltertools alternatives" section above for the current picks, or visit /alternatives/ltertools for the full list with editorial commentary on each.