dscore
The D-score reference implementation rebuilt its measurement foundation on seven countries.
A side-by-side editorial comparison of afcharts and serocalculator — release velocity, themes, recent moves, and the top alternatives to consider.
UK government chart styling in ggplot2, chasing ggplot2 v4 and stretching its palette to five.
afcharts supplies the UK Analysis Function's chart styling for ggplot2, as a theme, colour and fill scales, and a use_afcharts() call that applies the styling globally. Version 0.5.1 extends the sequential palette to five shades so it can carry quintile data such as deprivation bands, renames the na_colour argument to na.value, and adds a reset argument to switch the styling back off. The package began as a first release derived from sgplot and has had three releases in roughly two years.
A seroincidence engine grows up: whole API renamed, then clustered survey designs
serocalculator turns cross-sectional antibody measurements into infection-rate estimates, and it spent its last two releases making itself safe to depend on. Version 1.4.0 renamed nearly every user-facing function into a consistent est_seroincidence()/sr_params vocabulary; 1.4.1 shipped the migration crosswalk that admits how much that broke. The newest capability is cluster-robust variance estimation for household- and school-based surveys.
afcharts supplies the UK Analysis Function's chart styling for ggplot2, as a theme, colour and fill scales, and a use_afcharts() call that applies the styling globally. Version 0.5.1 extends the sequential palette to five shades so it can carry quintile data such as deprivation bands, renames the na_colour argument to na.value, and adds a reset argument to switch the styling back off. The package began as a first release derived from sgplot and has had three releases in roughly two years.
The work splits between palette design and keeping the styling composable. On the design side the sequential palette growing to five shades is driven by a specific reporting need rather than aesthetics, since quintiles are a standard unit in UK official statistics. On the mechanical side, the na.value rename was forced by ggplot2 v4.0.1, theme_af() now respects options set by an earlier use_afcharts() call, and a reset argument acknowledges that global styling needs an off switch. These are the problems a styling package hits once people use it inside larger documents.
Expect continued adjustment to ggplot2 v4, since the na.value rename is unlikely to be the only argument affected, and further palette work driven by the reporting formats government analysts actually publish. As a sibling to aftables in the same Analysis Function family, it is likely to keep tracking that guidance rather than setting its own direction.
serocalculator turns cross-sectional antibody measurements into infection-rate estimates, and it spent its last two releases making itself safe to depend on. Version 1.4.0 renamed nearly every user-facing function into a consistent est_seroincidence()/sr_params vocabulary; 1.4.1 shipped the migration crosswalk that admits how much that broke. The newest capability is cluster-robust variance estimation for household- and school-based surveys.
The arc runs from method to instrument. Early releases added example data and plotting; recent ones fix the API surface, satisfy CRAN's offline-failure policy, and extend the estimator to sampling designs field epidemiology actually uses — multi-level clustering, stratification, and the two combined. Each release also carries visible refactoring discipline (one function per file, linting, per-PR website previews) that reads like a package preparing for contributors it does not have yet.
With cluster_var and stratum_var now threaded through both est_seroincidence() and est_seroincidence_by(), survey weights are the remaining piece of a complex-survey design the sandwich estimator does not cover. The entries do not name it, so read that as direction rather than a promise.
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 afcharts or serocalculator.
The D-score reference implementation rebuilt its measurement foundation on seven countries.
A football-viz package just swapped scraping for an API and broke its own output to do it.
A gene-set enrichment package that outgrew its human-only origins, then went quiet.
The recursive-computation engine under massProps grows the accessors its consumer needed
A mass-properties rollup spends a year on documentation and follows its sibling's API
Six months of releases and not one of them touched the scoring models
See all afcharts alternatives → · See all serocalculator alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. afcharts and serocalculator 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. afcharts and serocalculator 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 afcharts alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "afcharts alternatives" section above for the current picks, or visit /alternatives/afcharts for the full list with editorial commentary on each.
Top serocalculator alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "serocalculator alternatives" section above for the current picks, or visit /alternatives/serocalculator for the full list with editorial commentary on each.