distributions3
distributions3 changes hands to Achim Zeileis, and a moment calculation bug goes with it.
Comparison · Analytics
fastplyr vs spanishoddata
A side-by-side editorial comparison of fastplyr and spanishoddata — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
fastplyr vs spanishoddata: 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 spanishoddata?
spanishoddata spent a year finding out its 2020-2021 data was quietly incomplete.
spanishoddata provides access to Spain's open mobility origin-destination datasets from the Ministry of Transport, converting them into DuckDB and parquet for analysis at scale. Nearly every release in this window is a data-fidelity fix rather than a feature: district-to-municipal reaggregation was wrong for the 2020-2021 vintage, literal 'NA' strings in the source CSVs broke DuckDB enum casting, and the Amazon S3 metadata bucket turned out to be truncated at March 2021, silently hiding data.
fastplyr vs spanishoddata: 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.
spanishoddata
0.0ANALYTICS
spanishoddata spent a year finding out its 2020-2021 data was quietly incomplete.
◆ Current state
spanishoddata provides access to Spain's open mobility origin-destination datasets from the Ministry of Transport, converting them into DuckDB and parquet for analysis at scale. Nearly every release in this window is a data-fidelity fix rather than a feature: district-to-municipal reaggregation was wrong for the 2020-2021 vintage, literal 'NA' strings in the source CSVs broke DuckDB enum casting, and the Amazon S3 metadata bucket turned out to be truncated at March 2021, silently hiding data.
◆ Where it's heading
The package is in a trust-building phase. The pattern across 0.2.1 through 0.2.6 is the maintainers repeatedly discovering that upstream metadata and the package's own aggregation were misrepresenting what data existed, then fixing it and adding a check so it surfaces next time. That is now backed by infrastructure: comprehensive unit tests plus weekly live-data runs on GitHub workers that alert maintainers when the upstream ministry changes something. The last feature release sits outside the six-entry window, which is itself the story.
◆ Prediction
Expect continued upstream-tracking fixes as the ministry's API and S3 layout shift, with the experimental quick-access and checksum functions the most likely candidates for promotion to stable.
Alternatives to fastplyr and spanishoddata
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 spanishoddata.
mizer
After two and a half years dormant, mizer shipped three major versions in seven weeks.
vellumplot
vellumplot tags its first release with a bet most R grammars don't make: the static figure and the widget are the same object.
vellum
vellum's bugs are now found by using it, not testing it — the downstream grammar is doing the QA.
n2kanalysis
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
n1qn1c
A Fortran-descended optimizer got thread-safe, then found two flags that never worked.
See all fastplyr alternatives → · See all spanishoddata alternatives →
Recent activity from fastplyr and spanishoddata
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agospanishoddataRedirected district files identified in v1 metadata
- 2mo agospanishoddataS3 metadata truncation at March 2021 bypassed via XML feed
- 4mo agofastplyrNon-API C functions dropped, R 4.5.0 now required
- 4mo agospanishoddataLiteral NA strings no longer break DuckDB casting
- 4mo agospanishoddataLarge urban area zones can be reloaded again
- 5mo agospanishoddatatime_slot column removed; test coverage goes live-weekly
- 8mo agofastplyrIn-place sorting arrives with a C++17 requirement
- 10mo agofastplyrGroup-unaware expressions evaluated on the whole frame
- 1y agospanishoddataDistrict-to-municipal reaggregation corrected for 2020-2021
- 1y agofastplyrf_mutate and f_reframe complete the verb set
- 1y agofastplyrDynamic argument evaluation and f_pull
- 1y agofastplyrf_fill added and grouped joins repaired
Frequently asked questions
What is the difference between fastplyr and spanishoddata?
Both compete on the same themes — r-package — within Analytics. fastplyr and spanishoddata 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 spanishoddata?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fastplyr and spanishoddata 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 spanishoddata?
Top spanishoddata alternatives in Analytics are ranked by recent ship velocity. Browse the "spanishoddata alternatives" section above for the current picks, or visit /alternatives/spanishoddata for the full list with editorial commentary on each.