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CatastRo vs errors

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

CatastRo vs errors: at a glance

FeatureCatastRoerrors
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesspatial-data, open-government-data, spain, httr2uncertainty-propagation, measurement, r-quantities, formatting
Last editorial update7h ago1h ago
WebsiteVisit →Visit →

What is CatastRo?

Spain's cadastre client spent 1.0.0 breaking its own cache to become a tidy, httr2-native package.

CatastRo pulls parcels, buildings, addresses and WMS map layers from the Spanish Cadastre into R. The 1.0.0 line rebuilt the codebase on httr2, reorganized the cache into topic-based subfolders and moved persistent storage from rappdirs to tools::R_user_dir(), a change that invalidates every pre-1.0.0 cache. The two releases since are documentation and an AI-assisted internal refactor.

Read the full CatastRo trajectory →

What is errors?

errors keeps making uncertainty print the way each scientific field expects.

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

Read the full errors trajectory →

CatastRo vs errors: editorial side-by-side

C
CatastRo
ANALYTICS
0.0

Spain's cadastre client spent 1.0.0 breaking its own cache to become a tidy, httr2-native package.

◆ Current state

CatastRo pulls parcels, buildings, addresses and WMS map layers from the Spanish Cadastre into R. The 1.0.0 line rebuilt the codebase on httr2, reorganized the cache into topic-based subfolders and moved persistent storage from rappdirs to tools::R_user_dir(), a change that invalidates every pre-1.0.0 cache. The two releases since are documentation and an AI-assisted internal refactor.

◆ Where it's heading

The arc is consolidation, not expansion: the retrieval surface has been stable since 0.3.0 added street names to addresses, while the maintainer has spent the releases since standardizing transport, output types and messaging. All functions now return tibbles or sf objects with tibble data, and cli handles user-facing output. The same modernization is being applied across the maintainer's other Spanish-data packages.

◆ Prediction

Expect the next releases to stay in the 1.0.x patch range — documentation, cli wording and CRAN upkeep — unless the Cadastre publishes a new service worth wrapping.

E
errors
ANALYTICS
0.0

errors keeps making uncertainty print the way each scientific field expects.

◆ Current state

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

◆ Where it's heading

Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.

◆ Prediction

Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.

Alternatives to CatastRo and errors

Other Analytics 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 CatastRo or errors.

See all CatastRo alternatives → · See all errors alternatives →

Recent activity from CatastRo and errors

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

  1. 2mo agoCatastRoAI-assisted internal refactor and cli message pass
  2. 3mo agoCatastRoDocumentation-only patch release
  3. 5mo agoCatastRo1.0.0 rebuilds on httr2 and invalidates every existing cache
  4. 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
  5. 1y agoCatastRoDocumentation and URL refresh
  6. 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
  7. 2y agoerrorserrors 0.4.2 adds PDG rounding rules
  8. 2y agoCatastRoCadastre service entry points updated
  9. 2y agoCatastRohttr to httr2 migration, declared invisible to users
  10. 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
  11. 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
  12. 5y agoerrorserrors 0.3.6

Frequently asked questions

What is the difference between CatastRo and errors?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CatastRo and errors 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 Analytics products to evaluate alongside.

What are the best alternatives to CatastRo?

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

What are the best alternatives to errors?

Top errors alternatives in Analytics are ranked by recent ship velocity. Browse the "errors alternatives" section above for the current picks, or visit /alternatives/errors-r for the full list with editorial commentary on each.