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Comparison · Infra & APIs

aftables vs tidyplots

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

aftables vs tidyplots: at a glance

Featureaftablestidyplots
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesaccessibility, spreadsheets, government-statistics, openxlsx2data-visualization, r-package, ggplot2, scientific-publishing
Last editorial update5h ago54m ago
WebsiteVisit →Visit →

What is aftables?

Accessible government spreadsheets in R, rebuilt on openxlsx2 and renamed along the way.

aftables generates spreadsheets that meet the UK Analysis Function's accessibility guidance, taking structured input and producing a formatted workbook with cover, contents, notes and table sheets. Version 2.0.0 replaced the workbook engine with openxlsx2 and added configuration through a config.yaml file, with create_config_yaml() exporting a template and generate_workbook() gaining arguments to point at it. The package was previously called a11ytables and was renamed in 1.0.2, with function names changed to match.

Read the full aftables trajectory →

What is tidyplots?

tidyplots keeps rebuilding its own foundations rather than layering around them.

tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.

Read the full tidyplots trajectory →

aftables vs tidyplots: editorial side-by-side

A
aftables
INFRA · APIS
0.0

Accessible government spreadsheets in R, rebuilt on openxlsx2 and renamed along the way.

◆ Current state

aftables generates spreadsheets that meet the UK Analysis Function's accessibility guidance, taking structured input and producing a formatted workbook with cover, contents, notes and table sheets. Version 2.0.0 replaced the workbook engine with openxlsx2 and added configuration through a config.yaml file, with create_config_yaml() exporting a template and generate_workbook() gaining arguments to point at it. The package was previously called a11ytables and was renamed in 1.0.2, with function names changed to match.

◆ Where it's heading

The history reads in two phases. As a11ytables the work was about what belongs in an accessible spreadsheet, adding arbitrary pre-table metadata rows and enforcing rules such as rejecting tab titles that start with a numeral. Since the rename the work has been structural: a new backend, and configuration moved out of function arguments into a file that can be version-controlled and shared across a team. That second phase suits the audience, since government analysts producing recurring statistical releases want the same document properties applied every time rather than re-specified per run.

◆ Prediction

Expect the config.yaml surface to grow to cover more of what is currently passed as arguments, given it arrived alongside alternative author, title and keywords arguments that it plainly supersedes. With the openxlsx2 migration complete, further releases are likely to be formatting fixes surfaced by real departmental publications, as 2.0.1 already was.

T
tidyplots
INFRA · APIS
0.0

tidyplots keeps rebuilding its own foundations rather than layering around them.

◆ Current state

tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.

◆ Where it's heading

The package is converging on ggplot2 rather than abstracting away from it: split_plot() now uses facet_wrap and facet_grid, as_tidyplot() was hard-deprecated on the grounds that converting a ggplot was never a good idea, and releases are timed against upstream ggplot2 versions. The other constant is the statistics surface, which has grown from basic error bars to paired and selected comparisons. Breaking changes are announced plainly and frequently, consistent with a package using 0.x to fix its shape before committing.

◆ Prediction

The patchwork removal is described as something that will eventually break dependent code, so the near-term work is likely completing that migration and settling the split_plot() parameters introduced alongside it. A 1.0 would signal the breaking-change cadence is ending, and nothing here indicates that yet.

Alternatives to aftables and tidyplots

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 aftables or tidyplots.

See all aftables alternatives → · See all tidyplots alternatives →

Recent activity from aftables and tidyplots

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

  1. 4mo agoaftablesrlang import restored for older R versions
  2. 5mo agoaftablesWorkbook engine moved to openxlsx2; config.yaml introduced
  3. 7mo agotidyplotstidyplots 0.4.0
  4. 1y agotidyplotstidyplots 0.3.1
  5. 1y agotidyplotstidyplots 0.2.2
  6. 1y agoaftablesPackage renamed from a11ytables to aftables
  7. 1y agotidyplotstidyplots 0.2.1
  8. 1y agotidyplotstidyplots 0.2.0
  9. 1y agotidyplotstidyplots 0.1.2
  10. 2y agoaftablesTab titles beginning with a numeral now rejected
  11. 2y agoaftablescustom_rows allows arbitrary pre-table metadata
  12. 2y agoaftablesTable count spelled out; README spelling corrected

Frequently asked questions

What is the difference between aftables and tidyplots?

They serve adjacent needs but don't currently overlap on shipped themes. aftables and tidyplots 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 aftables better than tidyplots?

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

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

What are the best alternatives to tidyplots?

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