qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of CatastRo and quantities — release velocity, themes, recent moves, and the top alternatives to consider.
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.
The glue package that makes R carry units and uncertainty through the same calculation.
quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.
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.
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.
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.
quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.
The design settled with 0.2.0, which made uncertainty unit-aware and added correlation and covariance support for quantities objects. Since then the package behaves like the integration layer it is — releasing when units, errors, dplyr or ggplot2 shift underneath it rather than on its own schedule. Several releases consist only of test repairs against upstream changes.
Expect the next release to follow a units or errors change rather than introduce new behaviour of its own.
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 quantities.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all CatastRo alternatives → · See all quantities alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. CatastRo and quantities 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CatastRo and quantities 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.
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.
Top quantities alternatives in Analytics are ranked by recent ship velocity. Browse the "quantities alternatives" section above for the current picks, or visit /alternatives/quantities for the full list with editorial commentary on each.