humind
The MSNI humanitarian needs framework as code, rewritten and re-broken every year
A side-by-side editorial comparison of afcharts and Rmonize — 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.
Collapsed a pile of parameters into one object and renamed every report column
Rmonize supports data harmonization: taking heterogeneous input datasets, applying processing rules against a DataSchema, and producing a harmonized dossier with assessment, summary and visual reports. Version 2.0.0 reshaped how that is driven — the evaluate, summarize and visualize functions now take the dossier alone rather than six or seven parallel arguments — and renamed every column in the assessment and summary outputs into plain language. The package is closely coupled to madshapR, whose changes the notes warn may require updates to existing user code.
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.
Rmonize supports data harmonization: taking heterogeneous input datasets, applying processing rules against a DataSchema, and producing a harmonized dossier with assessment, summary and visual reports. Version 2.0.0 reshaped how that is driven — the evaluate, summarize and visualize functions now take the dossier alone rather than six or seven parallel arguments — and renamed every column in the assessment and summary outputs into plain language. The package is closely coupled to madshapR, whose changes the notes warn may require updates to existing user code.
The arc runs from correctness toward interface. Version 1.0.1 was bug fixes found on real data, 1.1.0 added a debug parameter so harmonization could be tested with incomplete inputs, and 2.0.0 is a deliberate simplification that breaks existing code in exchange for a smaller surface. Renaming outputs from expressions like 'Categories::missing' and 'Nb. non-valid values' to 'Non-valid categories' and 'Number of non-valid values' points at reports being read by people who are not the person who wrote the harmonization rules.
Expect the superseded parameters and the renamed demo object to be removed outright rather than left superseded, and continued work on the visual reports, which carry the largest volume of referenced issues across all three versions.
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 Rmonize.
The MSNI humanitarian needs framework as code, rewritten and re-broken every year
A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time
A gamma-convolution density package that reached completion in 2018 and has coasted since.
Animal-movement models in R, where new stochastic processes arrive years apart.
A basic DNA and RNA sequence toolkit that went quiet for three years, then jumped to 2.0.
Package citation for R documents, quietly growing to meet Quarto.
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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. afcharts and Rmonize 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 Rmonize 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 Rmonize alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Rmonize alternatives" section above for the current picks, or visit /alternatives/rmonize for the full list with editorial commentary on each.