← Back to home
Comparison · Infra & APIs

afcharts vs Rmonize

A side-by-side editorial comparison of afcharts and Rmonize — release velocity, themes, recent moves, and the top alternatives to consider.

afcharts vs Rmonize: at a glance

FeatureafchartsRmonize
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesdata-visualisation, government-statistics, ggplot2, colour-palettesdata-harmonization, epidemiology, breaking-changes, reporting
Last editorial update1h ago17h ago
WebsiteVisit →Visit →

What is afcharts?

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.

Read the full afcharts trajectory →

What is Rmonize?

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.

Read the full Rmonize trajectory →

afcharts vs Rmonize: editorial side-by-side

A
afcharts
INFRA · APIS
0.0

UK government chart styling in ggplot2, chasing ggplot2 v4 and stretching its palette to five.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

R
Rmonize
INFRA · APIS
0.0

Collapsed a pile of parameters into one object and renamed every report column

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to afcharts and Rmonize

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.

See all afcharts alternatives → · See all Rmonize alternatives →

Recent activity from afcharts and Rmonize

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 5mo agoafchartsSequential palette reaches five shades for quintile data
  2. 1y agoRmonizeReport functions take a single dossier; output columns renamed
  3. 1y agoafchartsNamespace and argument-passing fixes
  4. 1y agoafchartsFirst release, derived from sgplot
  5. 2y agoRmonizeDebug parameter for testing partial harmonizations
  6. 2y agoRmonizePooled-data handling and report fixes after real-world testing

Frequently asked questions

What is the difference between afcharts and Rmonize?

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.

Is afcharts better than Rmonize?

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.

What are the best alternatives to afcharts?

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.

What are the best alternatives to Rmonize?

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.