tealeaves
A leaf-temperature model that finished its job in 2020 and has stayed finished
A side-by-side editorial comparison of ggInterval and saros — release velocity, themes, recent moves, and the top alternatives to consider.
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.
Survey reporting automation moves past charts and starts writing the sentences about them.
saros generates survey reports semi-automatically, turning questionnaire data into the plots, tables and Quarto structure a report needs. Version 1.6.0 adds txt_from_cat_mesos_plots(), which produces textual summaries of two categorical plots and calls out where groups differ significantly, plus crowd_plots_as_tabset() to fold a set of plots into Quarto tabsets with computed heights and download links. An interactive interval plot type arrives alongside.
ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.
The package is consolidating an interface that had drifted. Renaming seven functions in a single release is the clearest signal — the naming was inconsistent enough to be worth breaking, and the vignette rewrite that followed suggests discoverability was the underlying complaint. Underneath that, the additions are steady and narrow: each release brings interval-aware versions of plot types that already exist for point data, which is the whole premise of the package.
The pattern of porting one more standard plot type into interval-aware form each release is the most likely continuation; the tsplot compatibility in the latest version hints that time-series interval data is the direction attracting attention.
saros generates survey reports semi-automatically, turning questionnaire data into the plots, tables and Quarto structure a report needs. Version 1.6.0 adds txt_from_cat_mesos_plots(), which produces textual summaries of two categorical plots and calls out where groups differ significantly, plus crowd_plots_as_tabset() to fold a set of plots into Quarto tabsets with computed heights and download links. An interactive interval plot type arrives alongside.
The package consolidated its interface first and is now spending that consolidation. The embed_* family collapsed into a single makeme() generic with S3 dispatch in 1.2.0, and every output type since has been an S3 method rather than a new exported function, which is why 1.5.0 and 1.6.0 could add violin plots and interactive interval plots cheaply. The 1.6.0 notes are heavy with internal modularisation, splitting makeme() into argument setup, crowd processing, assembly and validation without touching the public API. Text generation is the newest direction and the one that changes what the package produces.
Expect the textual summary work to extend beyond the two-plot categorical case it currently handles, and the tabset and download-link helpers to spread across the remaining output types. The public surface should stay stable while the internals keep being split.
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 ggInterval or saros.
A leaf-temperature model that finished its job in 2020 and has stayed finished
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See all ggInterval alternatives → · See all saros alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — ggplot2 — within Infra & APIs. ggInterval and saros 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. ggInterval and saros 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 ggInterval alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggInterval alternatives" section above for the current picks, or visit /alternatives/gginterval for the full list with editorial commentary on each.
Top saros alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "saros alternatives" section above for the current picks, or visit /alternatives/saros for the full list with editorial commentary on each.