JointFPM
Recurrent-event modelling settles, with mean_no() promoted to stable.
A side-by-side editorial comparison of nzilbb.vowels and qol — release velocity, themes, recent moves, and the top alternatives to consider.
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.
A SAS-to-R comfort layer that has quietly grown into its own dialect.
qol is a one-maintainer R package aimed at analysts moving from SAS: SAS-shaped verbs (compute., if./else_if., retain_value, do_if blocks), format-driven tabulation through any_table()/summarise_plus(), and styled Excel output as the default destination. Releases land roughly monthly and each one is large. The recent line has shifted from adding verbs to letting conditions be written as parsed character strings, which is the closest the package gets to reproducing SAS syntax inside R.
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.
qol is a one-maintainer R package aimed at analysts moving from SAS: SAS-shaped verbs (compute., if./else_if., retain_value, do_if blocks), format-driven tabulation through any_table()/summarise_plus(), and styled Excel output as the default destination. Releases land roughly monthly and each one is large. The recent line has shifted from adding verbs to letting conditions be written as parsed character strings, which is the closest the package gets to reproducing SAS syntax inside R.
Three threads are visible across these releases. Syntax fidelity is the newest: ifelse_multi() introduced character-string conditions with SAS-style writing, and if./else_if. immediately picked the style up. Tabulation flexibility is the constant — any_table() gains per-variable statistic selection, nested variable combinations in brackets, vector order_by, compute support. The third is ecosystem plumbing the maintainer builds when a gap appears: file I/O in 1.3.0, a console message system, global style options, macro variables, and in 1.3.2 a code_statistics() script scanner. Renames to dodge data.table and dplyr masking recur often enough to be a pattern.
The maintainer flagged the new percentile behaviour as a first iteration that only works with few grouping variables, so a performance pass on it is the clearest outstanding item. Beyond that the character-condition syntax has reached three functions in two releases and looks likely to spread to the remaining filter-bearing verbs.
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 nzilbb.vowels or qol.
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 nzilbb.vowels alternatives → · See all qol alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. nzilbb.vowels and qol 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. nzilbb.vowels and qol 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 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.
Top qol alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "qol alternatives" section above for the current picks, or visit /alternatives/qol for the full list with editorial commentary on each.