← Back to home
Comparison · Infra & APIs

aftables vs usmapdata

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

aftables vs usmapdata: at a glance

Featureaftablesusmapdata
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themesaccessibility, spreadsheets, government-statistics, openxlsx2r-packages, geospatial, census-data, cartography
Last editorial update3h ago1h 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 usmapdata?

usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.

usmapdata supplies the boundary data behind usmap's plotting functions. Since 0.4.0 it has been year-indexed: us_map(data_year = ) selects a vintage, and each Census release is added as its own year with older ones still reachable. 1.1.0 adds 2025. 1.0.0 closed the package's longest-standing gap by adding Puerto Rico, retroactively across every vintage.

Read the full usmapdata trajectory →

aftables vs usmapdata: 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.

U
usmapdata
INFRA · APIS
2.5

usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.

◆ Current state

usmapdata supplies the boundary data behind usmap's plotting functions. Since 0.4.0 it has been year-indexed: us_map(data_year = ) selects a vintage, and each Census release is added as its own year with older ones still reachable. 1.1.0 adds 2025. 1.0.0 closed the package's longest-standing gap by adding Puerto Rico, retroactively across every vintage.

◆ Where it's heading

The package has settled into a predictable rhythm — one shapefile vintage per year, with structural change rare and clustered. The two changes that mattered were data_year in 0.4.0, which turned a single-vintage dataset into a time series, and the tibble-to-data-frame switch in 0.6.0 that reduced what downstream callers have to depend on.

◆ Prediction

The stated policy — each year added going forward, previous years reachable through data_year — points to a 2026 vintage as the next release. Nothing in these notes suggests further change to the data model.

Alternatives to aftables and usmapdata

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 usmapdata.

See all aftables alternatives → · See all usmapdata alternatives →

Recent activity from aftables and usmapdata

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

  1. 23d agousmapdata2025 Census shapefiles added
  2. 4mo agoaftablesrlang import restored for older R versions
  3. 5mo agoaftablesWorkbook engine moved to openxlsx2; config.yaml introduced
  4. 0y agousmapdataPuerto Rico added across every map vintage
  5. 1y agousmapdataus_map() returns a data frame instead of a tibble
  6. 1y agousmapdata2024 Census shapefiles added
  7. 1y agousmapdatadata_year turns the package into a multi-vintage archive
  8. 1y agoaftablesPackage renamed from a11ytables to aftables
  9. 2y agousmapdataMap data moves to 2023 shapefiles
  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 usmapdata?

They serve adjacent needs but don't currently overlap on shipped themes. usmapdata is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 aftables better than usmapdata?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. usmapdata is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 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 usmapdata?

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