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Comparison · Infra & APIs

afcharts vs exametrika

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

afcharts vs exametrika: at a glance

Featureafchartsexametrika
SectorInfra & APIsInfra & APIs
Velocity score0.03.8
Sparks · 30d01
Top themesdata-visualisation, government-statistics, ggplot2, colour-palettespsychometrics, irt, biclustering, breaking-change
Last editorial update1d ago16h 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 exametrika?

exametrika breaks its own numbers to fix them, and ships the fit statistic nominal data lacked.

exametrika is an R psychometrics package covering IRT, latent class and rank analysis, and biclustering. Version 2.0.0 is a deliberate break: an EM convergence defect inherited from the reference implementation stopped estimation after as little as one cycle while reporting convergence, so every EM-based model in the package now returns different estimates than it did before. The package no longer reproduces the numbers printed in Shojima (2022), and the maintainer says so directly rather than burying it. The deprecation removals promised since 1.15.0 ride along in the same release, and the package title changed to Test Data Engineering.

Read the full exametrika trajectory →

afcharts vs exametrika: 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.

E
exametrika
INFRA · APIS
3.8

exametrika breaks its own numbers to fix them, and ships the fit statistic nominal data lacked.

◆ Current state

exametrika is an R psychometrics package covering IRT, latent class and rank analysis, and biclustering. Version 2.0.0 is a deliberate break: an EM convergence defect inherited from the reference implementation stopped estimation after as little as one cycle while reporting convergence, so every EM-based model in the package now returns different estimates than it did before. The package no longer reproduces the numbers printed in Shojima (2022), and the maintainer says so directly rather than burying it. The deprecation removals promised since 1.15.0 ride along in the same release, and the package title changed to Test Data Engineering.

◆ Where it's heading

The consolidation arc that ran through 1.14.0 and 1.15.0 has closed, but not the way the audit trail suggested it would. Rather than pausing new modelling work through the cleanup, 2.0.0 pairs the breaking removals with real capability: M2() and add_M2() bring a limited-information fit statistic with a full margin-based index set, order-restricted estimation becomes the default for Ranklustering on the strength of a higher likelihood, and LCA() picks up nominal and rated data. The correctness fixes share one shape - defects that got worse as data got larger, where a 700-respondent dataset silently merged fields and a 40-item test returned no assignments at all. A two-tier test suite now keeps 3,507 tests in CI while CRAN sees a 17-second subset.

◆ Prediction

With the deprecation backlog cleared and the EM core rewritten, the next releases have room to build on M2() - most plausibly extending the margin-based indices to the models that do not yet report them. Whether the R Journal submission that shaped 1.13.1 and 1.14.0 has landed is not visible in these entries.

Alternatives to afcharts and exametrika

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 exametrika.

See all afcharts alternatives → · See all exametrika alternatives →

Recent activity from afcharts and exametrika

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

  1. 1d agoexametrikaEM convergence fix changes every estimate; deprecated names removed
  2. 1mo agoexametrikaFull-codebase audit fixes silent result corruption, unifies arguments
  3. 2mo agoexametrikaPlot methods finally forward the graphical parameters they documented
  4. 3mo agoexametrikaCRAN resubmission: slow tests skipped to fit the check budget
  5. 3mo agoexametrikaGraphical Lasso and Chatterjee's xi extend the package into network estimation
  6. 3mo agoexametrikaFrozen research baseline, never released to CRAN
  7. 5mo agoafchartsSequential palette reaches five shades for quintile data
  8. 1y agoafchartsNamespace and argument-passing fixes
  9. 1y agoafchartsFirst release, derived from sgplot

Frequently asked questions

What is the difference between afcharts and exametrika?

They serve adjacent needs but don't currently overlap on shipped themes. exametrika is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is afcharts better than exametrika?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. exametrika is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. 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 exametrika?

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