incident.io
Nexus does the diagnosis; the agent is now reaching into the status page too.
A side-by-side editorial comparison of ggh4x and saros — release velocity, themes, recent moves, and the top alternatives to consider.
Handed its axis and legend guides to ggplot2 and legendry, and kept the facets
ggh4x is a set of ggplot2 extensions — nested and manual facets, per-facet scales, forced panel sizes, and statistics such as stat_difference() and stat_rle(). Its guide functions, once a substantial part of the package, are deprecated: 0.3.0 redirected users to ggplot2's own guide arguments and to the legendry package, and 0.3.1 made the deprecated functions return plain equivalents. What remains as this package's own territory is facetting and panel layout.
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.
ggh4x is a set of ggplot2 extensions — nested and manual facets, per-facet scales, forced panel sizes, and statistics such as stat_difference() and stat_rle(). Its guide functions, once a substantial part of the package, are deprecated: 0.3.0 redirected users to ggplot2's own guide arguments and to the legendry package, and 0.3.1 made the deprecated functions return plain equivalents. What remains as this package's own territory is facetting and panel layout.
The handover was signalled well in advance. Version 0.2.5 set the guides' lifecycle to 'questioning' and said outright they might migrate to a new package once ggplot2 overhauled its guide system, and 0.3.0 executed that eighteen months later. Much of the rest of the changelog is anticipatory compatibility work for upcoming ggplot2 releases, the standing cost of being an extension package. Releases carry playful codenames that say nothing about their contents.
The deprecated guide functions are scheduled for removal in the next non-hotfix release, so expect that next; continued work should concentrate on facets and panel sizing, the areas neither ggplot2 nor legendry has absorbed.
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 ggh4x or saros.
Nexus does the diagnosis; the agent is now reaching into the status page too.
Warp turned its quarter of software-factory essays into infrastructure you can buy.
Okta's developer blog is a Cross App Access campaign, now diluted by advocacy-team storytelling.
A leaf-temperature model that finished its job in 2020 and has stayed finished
A credential platform assembled two or three pull requests at a time, never a headline
Search without knowing the field — SigNoz keeps lowering the cost of not knowing your schema
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — ggplot2 — within Infra & APIs. ggh4x 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. ggh4x 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 ggh4x alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggh4x alternatives" section above for the current picks, or visit /alternatives/ggh4x 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.