ggpointless
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
A side-by-side editorial comparison of tabular and tf — release velocity, themes, recent moves, and the top alternatives to consider.
tabular went from clinical tables to complete TFL output in under two months.
tabular renders pre-summarised clinical tables, figures and listings to RTF, LaTeX, HTML, PDF, DOCX, Markdown and now Typst from one immutable verb pipeline, with no external SAS or Java runtime. It arrived in June 2026 as a CRAN submission candidate, added figure() a month later to cover the F in TFL, and has spent the 0.3.x line on speed, font resolution and toolchain diagnostics.
tf gave functional data a second dimension: curves whose values are vectors.
tf supplies the vector classes underneath the tidyfun stack — tfd for raw functional observations, tfb for basis-represented ones, both built on vctrs so curves sit in a data frame column and behave like any other vector. Until July that codomain was scalar. The 0.5.0 release adds tfd_mv and tfb_mv, classes for functions whose values are vectors in R^d, and rebuilds the analysis verbs to match.
tabular renders pre-summarised clinical tables, figures and listings to RTF, LaTeX, HTML, PDF, DOCX, Markdown and now Typst from one immutable verb pipeline, with no external SAS or Java runtime. It arrived in June 2026 as a CRAN submission candidate, added figure() a month later to cover the F in TFL, and has spent the 0.3.x line on speed, font resolution and toolchain diagnostics.
The work is converging on backend parity — one spec should render the same wherever you emit it. Recent notes are almost entirely gap-closing between targets: bold column headers and page-width correction on LaTeX, cell margins on DOCX, group-separator blank rows re-expressed as discardable space so a page never ends on a stray gap, whitespace collapsing honoured on Typst. Diagnostics are keeping pace, with check_latex() probing through kpsewhich and check_typst() auditing the compiler and font chain.
With both toolchain checkers in place, the friction that remains is environmental rather than featural, and the notes point to further parity and packaging fixes rather than another backend. Whether Typst becomes the default PDF path instead of LaTeX is not something these notes settle.
tf supplies the vector classes underneath the tidyfun stack — tfd for raw functional observations, tfb for basis-represented ones, both built on vctrs so curves sit in a data frame column and behave like any other vector. Until July that codomain was scalar. The 0.5.0 release adds tfd_mv and tfb_mv, classes for functions whose values are vectors in R^d, and rebuilds the analysis verbs to match.
The package is widening what a functional observation can be, then porting the toolkit onto it. Registration arrived first in 0.4.0 for univariate curves and immediately gained an srvf_mv method for aligning components jointly, and tfb_mfpc() ports principal component analysis to the multivariate case with a single set of scores shared across components. Alongside that runs steady dependency shedding — mvtnorm and pracma both replaced by inlined samplers that reproduce prior draws bit-for-bit, glue dropped for cli in the previous release — and an unusually long tail of NA-handling and edge-case fixes, several caught in pre-release review of the new classes.
The new classes ship with FPCA, registration and shape alignment but the release notes describe tidyfun::tf_unnest() as the consumer of one new export, so the visible next step is the rest of the tidyfun stack catching up to vector-valued columns. Expect follow-up patches on the vctrs casting paths, which is where most of this release's late fixes clustered.
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 tabular or tf.
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
mpactr spent two spring releases normalizing case in metadata after users kept tripping on it.
surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.
surveycore declared its API stable with every survey design type covered.
PEIMAN2 cut its annotation database loose from its release cycle without breaking CRAN.
prospectr spent its biggest release in years fixing spectra it had been quietly mangling.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-packages — within Infra & APIs. tabular is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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. tabular is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top tabular alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "tabular alternatives" section above for the current picks, or visit /alternatives/tabular for the full list with editorial commentary on each.
Top tf alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "tf alternatives" section above for the current picks, or visit /alternatives/tf for the full list with editorial commentary on each.