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 MIC — 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.
An antimicrobial testing package cut its genomic half loose to become one thing well.
MIC analyses and validates antimicrobial minimum inhibitory concentration data. Version 2.0.0 removed every genomic function and ported them to a separate package, faLearn, leaving MIC focused on concentration analysis and method validation. The result needs fewer dependencies and no longer requires compilation, which is a meaningful install-time change for a clinical microbiology audience.
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.
MIC analyses and validates antimicrobial minimum inhibitory concentration data. Version 2.0.0 removed every genomic function and ported them to a separate package, faLearn, leaving MIC focused on concentration analysis and method validation. The result needs fewer dependencies and no longer requires compilation, which is a meaningful install-time change for a clinical microbiology audience.
The split was announced a release before it happened, with the genomic functions deprecated in 1.2.0 and the destination named. Around that, the substantive work has been on censoring: MIC values are reported with inequality signs, and 1.1.0 then 1.2.0 built out increasingly precise handling of them, separating less-than-or-equal from strictly-less-than and adding tolerance arguments to the comparison and agreement functions. That is the package's real subject matter, and shedding the genomic code is what makes room for it.
With the scope settled, expect continued work on validation semantics and on the AMR package interoperability the notes already track. The relationship between MIC and faLearn is the thing to watch, since users of the removed functions now have to install both.
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 MIC.
Nexus does the diagnosis; the agent is now reaching into the status page too.
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Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ggh4x and MIC 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 MIC 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 MIC alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "MIC alternatives" section above for the current picks, or visit /alternatives/mic for the full list with editorial commentary on each.