jSDM
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
A side-by-side editorial comparison of pakret and tidyplots — release velocity, themes, recent moves, and the top alternatives to consider.
Package citation for R documents, quietly growing to meet Quarto.
pakret inserts citations for R packages into R Markdown and Quarto documents, resolving each package to a BibTeX entry and writing the .bib file that backs it. Version 0.3.1 adds support for Quarto's inline syntax and separator control when citing several packages in one inline chunk, following 0.3.0, which made the package create missing .bib files, preserve capitalisation in reference titles, and treat the version placeholder in citation templates as optional. Cadence is a handful of small releases a year.
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.
pakret inserts citations for R packages into R Markdown and Quarto documents, resolving each package to a BibTeX entry and writing the .bib file that backs it. Version 0.3.1 adds support for Quarto's inline syntax and separator control when citing several packages in one inline chunk, following 0.3.0, which made the package create missing .bib files, preserve capitalisation in reference titles, and treat the version placeholder in citation templates as optional. Cadence is a handful of small releases a year.
Every release in this window removes a specific friction someone hit while writing a document. Bib files that had to exist beforehand now get created; single-letter package names like R and C stopped being lower-cased in titles; the package works when loaded after conflicted; citing many packages got faster; and version numbers became optional for documents where they are noise. The 0.3.1 Quarto support extends the same idea to the format its users are moving to. Nothing here is architectural, and nothing needs to be.
Expect continued alignment with Quarto as more of its syntax surfaces become relevant, and further refinement of how multi-reference packages resolve to a single entry, which the BibTeX type priority work in 0.2.0 started. The entries give no indication of a 1.0.
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 pakret or tidyplots.
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
An ecosystem model starts tracking carbon isotopes and land-use change.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
State-panel tooling holding steady since its 2020 data and ergonomics release.
Five years of compiler and CRAN fixes on a capture-recapture package.
See all pakret 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. pakret 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. pakret 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 pakret alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "pakret alternatives" section above for the current picks, or visit /alternatives/pakret 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.