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Comparison · Infra & APIs

afcharts vs ordinalsimr

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

afcharts vs ordinalsimr: at a glance

Featureafchartsordinalsimr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesdata-visualisation, government-statistics, ggplot2, colour-palettesordinal-data, shiny, simulation, statistical-tests
Last editorial update9h ago1h 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 ordinalsimr?

A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.

ordinalsimr compares ordinal endpoints by simulation — you specify probability distributions, sample sizes and iterations, and it runs the candidate statistical tests against them so you can see which behaves best. It is delivered as a Shiny application with a data-entry grid, and its entire release history spans six days in January 2025: three tags inside 90 minutes on the 20th, then a CRAN-compliance release on the 26th.

Read the full ordinalsimr trajectory →

afcharts vs ordinalsimr: 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.

O
ordinalsimr
INFRA · APIS
0.0

A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.

◆ Current state

ordinalsimr compares ordinal endpoints by simulation — you specify probability distributions, sample sizes and iterations, and it runs the candidate statistical tests against them so you can see which behaves best. It is delivered as a Shiny application with a data-entry grid, and its entire release history spans six days in January 2025: three tags inside 90 minutes on the 20th, then a CRAN-compliance release on the 26th.

◆ Where it's heading

The release bodies are auto-generated pull-request lists covering the repository's whole history, so they read as a build log rather than a changelog: data entry UI, an rhandsontable statistics module, iteration and sample-size modules, binomial confidence intervals, plot tests, and a rename to the current package name late in development. What that log shows is a single-author project built to completion privately and then published all at once, with the public version history existing mainly to satisfy CRAN.

◆ Prediction

With the CRAN submission accepted and no post-release entries in the feed, the next move is most likely a maintenance release; the PR log gives no signal of planned work beyond the tests already implemented.

Alternatives to afcharts and ordinalsimr

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 ordinalsimr.

See all afcharts alternatives → · See all ordinalsimr alternatives →

Recent activity from afcharts and ordinalsimr

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

  1. 5mo agoafchartsSequential palette reaches five shades for quintile data
  2. 1y agoordinalsimrv0.1.3 CRAN submission
  3. 1y agoordinalsimrOrdinal endpoint simulator submitted to CRAN
  4. 1y agoordinalsimrREADME refreshed and DOI added to the citation file
  5. 1y agoordinalsimrDevelopment tag ahead of the CRAN submission
  6. 1y agoafchartsNamespace and argument-passing fixes
  7. 1y agoafchartsFirst release, derived from sgplot

Frequently asked questions

What is the difference between afcharts and ordinalsimr?

They serve adjacent needs but don't currently overlap on shipped themes. afcharts and ordinalsimr 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 ordinalsimr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. afcharts and ordinalsimr 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 ordinalsimr?

Top ordinalsimr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ordinalsimr alternatives" section above for the current picks, or visit /alternatives/ordinalsimr for the full list with editorial commentary on each.