JointFPM
Recurrent-event modelling settles, with mean_no() promoted to stable.
A side-by-side editorial comparison of ggsketch and tidyplots — release velocity, themes, recent moves, and the top alternatives to consider.
ggsketch stopped being a line style and became a drawing-medium simulator.
ggsketch is a ggplot2 extension that renders plots as if drawn by hand. Through the 1.x line that meant one thing: roughening outlines and fills with configurable jitter. The 2.0.0 release published in July reframes the package around simulated drawing media — pen, chisel-tip highlighter, airbrush — and simulated paper grounds, with the sketch geoms inheriting whichever medium is set.
tidyplots keeps rebuilding its own foundations rather than layering around them.
tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.
ggsketch is a ggplot2 extension that renders plots as if drawn by hand. Through the 1.x line that meant one thing: roughening outlines and fills with configurable jitter. The 2.0.0 release published in July reframes the package around simulated drawing media — pen, chisel-tip highlighter, airbrush — and simulated paper grounds, with the sketch geoms inheriting whichever medium is set.
The maintainer states 2.0.0 is the engine for a series, and the release notes read that way: the medium sampler and the paper renderer are new Layer-1/Layer-2 primitives that every existing geom picks up for free. The second thread is correctness under real plot layouts — corner-aware label repulsion, boundary densification so bars bend under polar coordinates, reserved panel room so edge labels stop clipping. Geom coverage keeps widening in parallel, with chicklet charts the newest addition.
Expect the rest of the 2.x series to add media on top of the new sampler rather than more geoms, since that is where 2.0.0 put the extensibility. The default hachure-pitch change already shifts existing output slightly, so a follow-up patch tuning those defaults against real plots is likely.
tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.
The package is converging on ggplot2 rather than abstracting away from it: split_plot() now uses facet_wrap and facet_grid, as_tidyplot() was hard-deprecated on the grounds that converting a ggplot was never a good idea, and releases are timed against upstream ggplot2 versions. The other constant is the statistics surface, which has grown from basic error bars to paired and selected comparisons. Breaking changes are announced plainly and frequently, consistent with a package using 0.x to fix its shape before committing.
The patchwork removal is described as something that will eventually break dependent code, so the near-term work is likely completing that migration and settling the split_plot() parameters introduced alongside it. A 1.0 would signal the breaking-change cadence is ending, and nothing here indicates that yet.
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 ggsketch or tidyplots.
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 ggsketch alternatives → · See all tidyplots alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ggsketch and tidyplots 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. ggsketch and tidyplots 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 ggsketch alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggsketch alternatives" section above for the current picks, or visit /alternatives/ggsketch for the full list with editorial commentary on each.
Top tidyplots alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "tidyplots alternatives" section above for the current picks, or visit /alternatives/tidyplots for the full list with editorial commentary on each.