textrecipes
Text features finally stay sparse all the way to the model.
A side-by-side editorial comparison of scales and tidytext — release velocity, themes, recent moves, and the top alternatives to consider.
scales keeps widening what ggplot2 can put on an axis.
scales supplies the breaks, labels and transformations behind ggplot2's axes and legends. Unlike much of the tidyverse infrastructure around it, it still ships genuine feature work each release: native timespan handling in 1.3.0, then custom range-training classes and label_glue() in 1.4.0.
Finished, widely taught, and shipping roxygen fixes.
tidytext is the package that made unnest_tokens() and the tidy-data approach to text analysis standard, and it has reached the point where its releases contain nothing to announce. The last three are roxygen package anchors, alt text on vignette figures, and a single bug fix in one stm tidier. The most recent substantive changes were in 0.4.0 and 0.3.3 — stm tidiers for high FREX and lift words, a labels function for scale_x_reordered(), and support for tidying STM models that use content covariates.
scales supplies the breaks, labels and transformations behind ggplot2's axes and legends. Unlike much of the tidyverse infrastructure around it, it still ships genuine feature work each release: native timespan handling in 1.3.0, then custom range-training classes and label_glue() in 1.4.0.
The arc runs toward extensibility and type coverage. First came built-in support for awkward types like difftime and hms; 1.4.0 inverts that by letting any third-party class participate in range training simply by implementing range() or levels(). Labelling is getting more expressive rather than merely more numerous.
Expect continued type-support and labelling work, with extension points that let downstream packages plug in their own classes instead of scales enumerating every one.
tidytext is the package that made unnest_tokens() and the tidy-data approach to text analysis standard, and it has reached the point where its releases contain nothing to announce. The last three are roxygen package anchors, alt text on vignette figures, and a single bug fix in one stm tidier. The most recent substantive changes were in 0.4.0 and 0.3.3 — stm tidiers for high FREX and lift words, a labels function for scale_x_reordered(), and support for tidying STM models that use content covariates.
The direction is stability, and the release triggers are external. quanteda releases force updates to the dfm tidiers, a Matrix release forces another, tokenizers deprecating its tweet tokenizer forces removal of the tweet-specific functions here, and CRAN's Rd anchor requirement produces a release of its own. Nothing in the recent stream suggests new capability is planned, and for a package this embedded in teaching material that is a defensible position rather than a problem.
The entries do not support predicting new features. The likely next release is another compatibility update prompted by quanteda, stm, or a CRAN documentation requirement.
Other Analytics 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 scales or tidytext.
Text features finally stay sparse all the way to the model.
The package that made calibration a step instead of an afterthought.
workflowsets keeps widening what counts as a model worth comparing.
The tidymodels pipeline grew a third stage, and it happens after the model runs.
Posit's MLOps package went quiet for two years, then came back to keep up with recipes.
patchwork stopped being a ggplot composer and became a page composer.
See all scales alternatives → · See all tidytext alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. scales and tidytext 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. scales and tidytext 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 Analytics products to evaluate alongside.
Top scales alternatives in Analytics are ranked by recent ship velocity. Browse the "scales alternatives" section above for the current picks, or visit /alternatives/scales-r for the full list with editorial commentary on each.
Top tidytext alternatives in Analytics are ranked by recent ship velocity. Browse the "tidytext alternatives" section above for the current picks, or visit /alternatives/tidytext for the full list with editorial commentary on each.