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n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
Comparison · Analytics
fastplyr vs mapSpain
A side-by-side editorial comparison of fastplyr and mapSpain — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
fastplyr vs mapSpain: at a glance
What is fastplyr?
A fast dplyr stand-in that keeps finding new places to skip work entirely.
fastplyr reimplements the dplyr verbs on a faster backend, exposing f_summarise, f_mutate, f_reframe and a set of group metadata helpers alongside optimized joins and quantiles. The most recent release removes non-API C functions and raises the floor to R 4.5.0, a steep requirement that follows the C++17 requirement introduced a release earlier. The verb surface itself has been stable since 0.9.0.
What is mapSpain?
mapSpain's 1.0.0 broke every user cache to get the package onto modern foundations.
mapSpain provides administrative boundaries, tile providers and geographic dictionaries for Spain, pulling from GISCO, SIANE, INE and IGN sources. The 1.0.0 release in January 2026 rebuilt it: requests moved to httr2, the cache reorganized into topic-based subfolders under tools::R_user_dir() instead of rappdirs, R 4.1 became the floor, and every function now returns tidy objects. Existing caches are explicitly incompatible and must be rebuilt.
fastplyr vs mapSpain: editorial side-by-side
fastplyr
0.0ANALYTICS
A fast dplyr stand-in that keeps finding new places to skip work entirely.
◆ Current state
fastplyr reimplements the dplyr verbs on a faster backend, exposing f_summarise, f_mutate, f_reframe and a set of group metadata helpers alongside optimized joins and quantiles. The most recent release removes non-API C functions and raises the floor to R 4.5.0, a steep requirement that follows the C++17 requirement introduced a release earlier. The verb surface itself has been stable since 0.9.0.
◆ Where it's heading
The optimization strategy has shifted from making individual functions fast to reasoning about expressions before evaluating them — 0.9.9 began marking simple operators as group-unaware so expressions built only from them are evaluated across the whole data frame rather than per group. That is a structural bet: the package increasingly inspects what you wrote to decide how much work is actually needed. Running alongside it is a steady tightening of build requirements, with C++17, R 4.5.0 and CRAN's C API rules all landing within a year.
◆ Prediction
Expect the group-unaware classification to widen to more functions, since each addition compounds across every grouped expression, and expect the dependency floors to keep rising as the package tracks CRAN's compiled-code policy.
mapSpain
0.0ANALYTICS
mapSpain's 1.0.0 broke every user cache to get the package onto modern foundations.
◆ Current state
mapSpain provides administrative boundaries, tile providers and geographic dictionaries for Spain, pulling from GISCO, SIANE, INE and IGN sources. The 1.0.0 release in January 2026 rebuilt it: requests moved to httr2, the cache reorganized into topic-based subfolders under tools::R_user_dir() instead of rappdirs, R 4.1 became the floor, and every function now returns tidy objects. Existing caches are explicitly incompatible and must be rebuilt.
◆ Where it's heading
The package has finished its modernization and moved into consolidation. 1.1.0 added a configurable query timeout and pinned httr2 for compatibility with giscoR, the sibling package it shares plumbing with; 1.2.0 was a declared internal-only refactor with the public API held fixed and the work described as AI-assisted with human review. The data-source expansion that characterized the 0.9.x and 0.10.x line — comarcas by type, simplified INE geometries, SIANE vintages — has paused while the foundations settle.
◆ Prediction
Expect a return to source coverage now that the refactor is done: new SIANE or INE vintages and additional boundary types are the pattern this package has repeated. The entries show no further architectural work queued.
Alternatives to fastplyr and mapSpain
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 fastplyr or mapSpain.
n1qn1c
A Fortran-descended optimizer got thread-safe, then found two flags that never worked.
ggstatsplot
ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.
collapse
collapse got a JSS paper and a 7x fmean speedup in the same release.
gtsummary
gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.
broadcast
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
See all fastplyr alternatives → · See all mapSpain alternatives →
Recent activity from fastplyr and mapSpain
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agomapSpainInternal helper refactor with the public API held fixed
- 4mo agofastplyrNon-API C functions dropped, R 4.5.0 now required
- 4mo agomapSpainQuery timeout becomes configurable
- 7mo agomapSpain1.0.0 rebuilds on httr2 and invalidates every cache ⚡
- 8mo agofastplyrIn-place sorting arrives with a C++17 requirement
- 10mo agofastplyrGroup-unaware expressions evaluated on the whole frame
- 1y agofastplyrf_mutate and f_reframe complete the verb set
- 1y agomapSpainComarcas and simplified INE geometries added
- 1y agomapSpainComarca types split across four official sources
- 1y agofastplyrDynamic argument evaluation and f_pull
- 1y agofastplyrf_fill added and grouped joins repaired
- 1y agomapSpainAdapted to the SIANE 2024 databases
Frequently asked questions
What is the difference between fastplyr and mapSpain?
Both compete on the same themes — r-package — within Analytics. fastplyr and mapSpain 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 fastplyr better than mapSpain?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fastplyr and mapSpain 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 fastplyr?
Top fastplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "fastplyr alternatives" section above for the current picks, or visit /alternatives/fastplyr for the full list with editorial commentary on each.
What are the best alternatives to mapSpain?
Top mapSpain alternatives in Analytics are ranked by recent ship velocity. Browse the "mapSpain alternatives" section above for the current picks, or visit /alternatives/mapspain for the full list with editorial commentary on each.