JointFPM
Recurrent-event modelling settles, with mean_no() promoted to stable.
A side-by-side editorial comparison of bulkreadr and nzilbb.vowels — release velocity, themes, recent moves, and the top alternatives to consider.
A bulk file reader became a labelled-survey-data toolkit, then went quiet
bulkreadr started as a way to read many files at once and turned into tooling for labelled survey data: SPSS and Stata importers that convert labelled variables to factors, generate_dictionary() for building data dictionaries, look_for() for searching variable descriptions, and imputation helpers. The most recent release does the opposite of adding — it pulls inspect_na() in-house to drop an external dependency.
A vowel-analysis package trimming dependencies after an email address got it archived.
nzilbb.vowels supports sociophonetic vowel analysis — principal component analysis over vowel measurements, Procrustes comparison of loadings, and the plotting that goes with them. Three releases are visible, all in the 0.4.x line and all small. The substantive thread is dependency removal: vegan and gghalves have both been dropped in favour of code the package controls.
bulkreadr started as a way to read many files at once and turned into tooling for labelled survey data: SPSS and Stata importers that convert labelled variables to factors, generate_dictionary() for building data dictionaries, look_for() for searching variable descriptions, and imputation helpers. The most recent release does the opposite of adding — it pulls inspect_na() in-house to drop an external dependency.
Growth came in a burst across 2023, slowed to one release a year, and has now turned inward. The 2023 cadence added a format or a labelled-data function every few weeks; 2025 added a single Excel-to-CSV exporter; 2026 removed a dependency. The GitHub notes are cumulative — each release restates every prior version's changelog — which makes the feed look busier than the work is.
With inspectdf gone, the remaining Suggests-level dependencies are the obvious next targets for the same treatment. Nothing in these entries points to a new file format or a return to the 2023 pace.
nzilbb.vowels supports sociophonetic vowel analysis — principal component analysis over vowel measurements, Procrustes comparison of loadings, and the plotting that goes with them. Three releases are visible, all in the 0.4.x line and all small. The substantive thread is dependency removal: vegan and gghalves have both been dropped in favour of code the package controls.
The package is reducing what it relies on, and paying for it in small interface breaks — plot_correlation_counts() lost its half_violin argument and gained a points argument in the same move. The 0.4.2 notes also record that version 0.4.1 was archived by CRAN because the maintainer's email had become unreliable, prompting a switch to an institutional address. That is administrative rather than technical, but it explains why three closely spaced patches exist at all.
With the two external plotting and ordination dependencies gone and the maintainer address stabilised, the visible pressure that produced these releases is resolved. Nothing in the entries indicates what comes next, and the history is too short to read a feature direction from.
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 bulkreadr or nzilbb.vowels.
Recurrent-event modelling settles, with mean_no() promoted to stable.
Nonparametric change point detection swaps p-values for importance scores.
A Prism-styled ggplot2 theme in maintenance, now surviving ggplot2 4.0.
Wavelet trend estimation tightens the defaults it shipped with.
Back from CRAN removal under a new maintainer, with the compiled layer rebuilt.
mice can finally predict, not just estimate, from multiply imputed data.
See all bulkreadr alternatives → · See all nzilbb.vowels alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — dependency-reduction — within Infra & APIs. bulkreadr and nzilbb.vowels 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. bulkreadr and nzilbb.vowels 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 bulkreadr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "bulkreadr alternatives" section above for the current picks, or visit /alternatives/bulkreadr for the full list with editorial commentary on each.
Top nzilbb.vowels alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "nzilbb.vowels alternatives" section above for the current picks, or visit /alternatives/nzilbb-vowels for the full list with editorial commentary on each.