n2kanalysis
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
A side-by-side editorial comparison of CatastRoNav and cheapr — release velocity, themes, recent moves, and the top alternatives to consider.
Navarre's cadastre client finally reaches feature parity with its bigger Spanish sibling.
CatastRoNav wraps the Cadastre of Navarre, a Spanish region that publishes its own cadastral services separately from the national system. Until 1.0.0 the package could only fetch cadastral parcels via ATOM; it now retrieves buildings and addresses through ATOM as well and adds WMS INSPIRE layer access through catrnav_wms_get_layer(). The same release relicenses to GPL-2, moves requests to httr2 with retries and switches messaging to cli.
cheapr turned multi-threaded, and its next stop is a C++20 public API.
cheapr supplies lower-overhead replacements for base R's data manipulation primitives — subsetting, recycling, concatenation, attribute handling, data frame construction. Through 2025 it grew function by function: sset_df/sset_row/sset_col, list_as_df, cheapr_c, counts, str_coalesce, df_modify. The 1.5.0 release in April 2026 changed the nature of the package, adding parallelised math functions, user-settable thread counts, multi-threaded vector initialisers, and a SIMD-parallelised if_else_, with threading on by default at two threads.
CatastRoNav wraps the Cadastre of Navarre, a Spanish region that publishes its own cadastral services separately from the national system. Until 1.0.0 the package could only fetch cadastral parcels via ATOM; it now retrieves buildings and addresses through ATOM as well and adds WMS INSPIRE layer access through catrnav_wms_get_layer(). The same release relicenses to GPL-2, moves requests to httr2 with retries and switches messaging to cli.
The package is being pulled into line with CatastRo, the maintainer's national-cadastre client: same transport, same UTF-8 normalization strategy, same option names falling back to the CatastRo equivalents. Coverage has been gated by what the Navarre Cadastre actually publishes — 0.1.0 said outright that further ATOM capabilities would arrive when the regional service made them available, and 1.0.0 is that promise landing.
Expect the next releases to track new Navarre service endpoints as they are published, and to inherit whatever maintenance pattern CatastRo adopts next.
cheapr supplies lower-overhead replacements for base R's data manipulation primitives — subsetting, recycling, concatenation, attribute handling, data frame construction. Through 2025 it grew function by function: sset_df/sset_row/sset_col, list_as_df, cheapr_c, counts, str_coalesce, df_modify. The 1.5.0 release in April 2026 changed the nature of the package, adding parallelised math functions, user-settable thread counts, multi-threaded vector initialisers, and a SIMD-parallelised if_else_, with threading on by default at two threads.
Two arcs run at once. The visible one is parallelism: what began as single-threaded C shortcuts is becoming a threaded compute layer, and the notes state the C/C++ API is mid-rewrite with a stable form promised at 2.0.0 behind a C++20 requirement. The quieter one is R C API compliance — 1.5.1 removed R_MissingArg, R_UnboundValue, Rf_findVar and Rf_findVarinFrame, the non-API entry points being closed off upstream. The 1.5.x patches since are narrow crash fixes, which reads as consolidation before the 2.0.0 break.
Expect 2.0.0 to land the stable C/C++ API behind a C++20 toolchain floor, with more of the existing function surface threaded in the interim. The package has announced both moves in its own release notes.
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 CatastRoNav or cheapr.
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
A Fortran-descended optimizer got thread-safe, then found two flags that never worked.
ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.
collapse got a JSS paper and a 7x fmean speedup in the same release.
gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
See all CatastRoNav alternatives → · See all cheapr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. CatastRoNav and cheapr 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. CatastRoNav and cheapr 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 CatastRoNav alternatives in Analytics are ranked by recent ship velocity. Browse the "CatastRoNav alternatives" section above for the current picks, or visit /alternatives/catastronav for the full list with editorial commentary on each.
Top cheapr alternatives in Analytics are ranked by recent ship velocity. Browse the "cheapr alternatives" section above for the current picks, or visit /alternatives/cheapr-r for the full list with editorial commentary on each.