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Comparison · Infra & APIs

artoo vs usmapdata

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

Shared themes:r-packages

artoo vs usmapdata: at a glance

Featureartoousmapdata
SectorInfra & APIsInfra & APIs
Velocity score2.52.5
Sparks · 30d00
Top themesr-packages, clinical-trials, cdisc, data-conversionr-packages, geospatial, census-data, cartography
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is artoo?

artoo makes any-to-any clinical dataset conversion lossless by construction.

artoo reads and writes SAS XPORT, CDISC Dataset-JSON, NDJSON, Parquet and RDS around one canonical metadata model, so a conversion between any two formats carries labels, CDISC types, lengths, display formats, controlled-terminology references and sort keys intact. It is pure R with no SAS or Java runtime. It reached CRAN at 0.1.1 and has spent 0.1.2 and 0.1.3 on the character-encoding edges.

Read the full artoo 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 →

artoo vs usmapdata: editorial side-by-side

A
artoo
INFRA · APIS
2.5

artoo makes any-to-any clinical dataset conversion lossless by construction.

◆ Current state

artoo reads and writes SAS XPORT, CDISC Dataset-JSON, NDJSON, Parquet and RDS around one canonical metadata model, so a conversion between any two formats carries labels, CDISC types, lengths, display formats, controlled-terminology references and sort keys intact. It is pure R with no SAS or Java runtime. It reached CRAN at 0.1.1 and has spent 0.1.2 and 0.1.3 on the character-encoding edges.

◆ Where it's heading

Recent work is all about text that does not survive a format change. 0.1.3 adds an invalid_encoding dimension to artoo_checks() that flags bytes which are not valid UTF-8 before a writer aborts on them, accepts the SAS OEM/DOS encoding names, and gives the writers on_invalid = "translit" and "fold" so smart punctuation and accented characters resolve to pinned ASCII instead of failing. The fold tables ship as data specifically so the result is identical on every platform, which is the same determinism argument behind C-locale row sorting in 0.1.0.

◆ Prediction

The new WLATIN1-to-UTF-8 migration article and the width warning on write_xpt() point the next attention at length and truncation semantics rather than at additional formats. These notes name no further target format.

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 artoo 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 artoo or usmapdata.

See all artoo alternatives → · See all usmapdata alternatives →

Recent activity from artoo and usmapdata

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

  1. 23d agousmapdata2025 Census shapefiles added
  2. 28d agoartooEncoding checks and translit/fold modes for the writers
  3. 1mo agoartoonoLD check fix; codec unchanged
  4. 2mo agoartooInitial CRAN release after resubmission
  5. 2mo agoartooLossless any-to-any CDISC dataset conversion in pure R
  6. 0y agousmapdataPuerto Rico added across every map vintage
  7. 1y agousmapdataus_map() returns a data frame instead of a tibble
  8. 1y agousmapdata2024 Census shapefiles added
  9. 1y agousmapdatadata_year turns the package into a multi-vintage archive
  10. 2y agousmapdataMap data moves to 2023 shapefiles

Frequently asked questions

What is the difference between artoo and usmapdata?

Both compete on the same themes — r-packages — within Infra & APIs. artoo and usmapdata are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 artoo better than usmapdata?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. artoo and usmapdata are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 artoo?

Top artoo alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "artoo alternatives" section above for the current picks, or visit /alternatives/artoo 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.