ggalign
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
A side-by-side editorial comparison of climate and tidyplots — release velocity, themes, recent moves, and the top alternatives to consider.
climate stops scraping and starts parsing: an in-house SYNOP engine replaces the HTML path.
climate pulls meteorological, hydrological and sounding data in R from public providers, chiefly the Polish IMGW-PIB repository, OGIMET and NOAA. Version 1.4.0 changes how it gets that data rather than what it offers: a new synop_parser() reads raw SYNOP messages directly, the OGIMET functions take a parser argument and default to SYNOP for hourly data with HTML kept for daily summaries, and the XML parsing engine has been replaced by in-house code to cut dependencies. The sounding functions also lost their server-side thermodynamic indices when the legacy Wyoming interface shut down.
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.
climate pulls meteorological, hydrological and sounding data in R from public providers, chiefly the Polish IMGW-PIB repository, OGIMET and NOAA. Version 1.4.0 changes how it gets that data rather than what it offers: a new synop_parser() reads raw SYNOP messages directly, the OGIMET functions take a parser argument and default to SYNOP for hourly data with HTML kept for daily summaries, and the XML parsing engine has been replaced by in-house code to cut dependencies. The sounding functions also lost their server-side thermodynamic indices when the legacy Wyoming interface shut down.
This package's history is largely a record of upstream providers changing underneath it, and 1.4.0 is the release where it stops absorbing those changes and reduces its exposure to them. The 1.2.9 notes described a 20-second pause between OGIMET requests as a temporary measure and named a SYNOP parsing engine as the intended fix; that engine is now here, and SYNOP messages can be retrieved in bulk rather than one scrape at a time. Owning the parser and dropping XML means the next provider-side HTML change is a smaller problem than the last one was.
Expect the SYNOP path to become the default for more of the OGIMET surface as it proves out, with the HTML parser retained only where the provider offers nothing else. Whether the thermodynamic indices return in some form, or stay permanently delegated to thundeR, is the open question these notes leave.
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 climate or tidyplots.
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
Conservation planning absorbs the literature's target-setting rules as code.
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.
See all climate alternatives → · See all tidyplots alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. climate 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. climate 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 climate alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "climate alternatives" section above for the current picks, or visit /alternatives/climate 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.