JointFPM
Recurrent-event modelling settles, with mean_no() promoted to stable.
A side-by-side editorial comparison of formr and tidyplots — release velocity, themes, recent moves, and the top alternatives to consider.
formr's R client reached CRAN and moved its recommended path to the v1 REST API.
formr is the R-side client for formr.org, the open study framework used to run longitudinal and experience-sampling questionnaires. In May it reached CRAN for the first time, released in step with formr.org server v1.0.0, and the formr_api_* family built on the server's RESTful surface became the supported entry point. The three releases since have been repair work on the paths that move rendered output and API results.
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.
formr is the R-side client for formr.org, the open study framework used to run longitudinal and experience-sampling questionnaires. In May it reached CRAN for the first time, released in step with formr.org server v1.0.0, and the formr_api_* family built on the server's RESTful surface became the supported entry point. The three releases since have been repair work on the paths that move rendered output and API results.
The direction is consolidation around the v1 API while the legacy Classic path is left running but demoted in the vignette. The complication is that CRAN's requirements and the OpenCPU server's requirements pull against each other: CRAN review pushed rendering into tempdir() with random filenames, which broke rforms.org because the server fetches a fixed knit.html, and 1.1.2 had to put it back. The 1.2.0 note describes the same write-directory problem being solved in an OpenCPU-aware way rather than reverted, alongside making dependencies installable under WASM.
Two of the last three releases were regressions in the render path, so the OpenCPU-aware write directory in 1.2.0 is the change most likely to need follow-up. The Classic formr_results() path remains in the package with no removal date announced, and nothing in these entries indicates when that ends.
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 formr 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 formr 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. formr 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. formr 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 formr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "formr alternatives" section above for the current picks, or visit /alternatives/formr 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.