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fastplyr vs spatstat

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

Shared themes:r-package

fastplyr vs spatstat: at a glance

Featurefastplyrspatstat
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdataframe-performance, dplyr-alternative, query-optimization, cran-policyspatial-statistics, r-package, metapackage, documentation
Last editorial update49m ago3h ago
WebsiteVisit →Visit →

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.

Read the full fastplyr trajectory →

What is spatstat?

The spatstat umbrella package, now mostly a pointer to the sub-packages doing the work

spatstat is the front package of a family that was split into specialised components — spatstat.geom, spatstat.random, spatstat.model, spatstat.explore, spatstat.univar and spatstat.sparse. Its own release notes reflect that: entries in this window are largely announcements of where the real changes landed, plus documentation and cross-reference maintenance. The codebase it fronts passed 200,000 lines as of 3.5-1.

Read the full spatstat trajectory →

fastplyr vs spatstat: editorial side-by-side

F
fastplyr
ANALYTICS
0.0

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.

S
spatstat
ANALYTICS
0.0

The spatstat umbrella package, now mostly a pointer to the sub-packages doing the work

◆ Current state

spatstat is the front package of a family that was split into specialised components — spatstat.geom, spatstat.random, spatstat.model, spatstat.explore, spatstat.univar and spatstat.sparse. Its own release notes reflect that: entries in this window are largely announcements of where the real changes landed, plus documentation and cross-reference maintenance. The codebase it fronts passed 200,000 lines as of 3.5-1.

◆ Where it's heading

The split is effectively complete and the umbrella's role has settled into coordination — tracking version dependencies across sub-packages and pointing users to them. The family has kept subdividing over this period, with spatstat.univar joining in 3.1-0. The one substantive user-facing addition here is documentation infrastructure: 3.3-0 added the ability to list the history of changes to a specific function, which is a navigational answer to a codebase now spread across many packages.

◆ Prediction

Expect this package's notes to continue summarising sub-package activity rather than carrying features of its own, since every release in this window does exactly that. Read spatstat.geom, spatstat.random and spatstat.model for the substance.

Alternatives to fastplyr and spatstat

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 spatstat.

See all fastplyr alternatives → · See all spatstat alternatives →

Recent activity from fastplyr and spatstat

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

  1. 2mo agospatstatSub-package updates across sparse, univar and random
  2. 4mo agofastplyrNon-API C functions dropped, R 4.5.0 now required
  3. 6mo agospatstatspatstat passes 200,000 lines of code
  4. 8mo agofastplyrIn-place sorting arrives with a C++17 requirement
  5. 10mo agospatstatNew vignette documenting NA spatial objects
  6. 10mo agofastplyrGroup-unaware expressions evaluated on the whole frame
  7. 1y agofastplyrf_mutate and f_reframe complete the verb set
  8. 1y agofastplyrDynamic argument evaluation and f_pull
  9. 1y agospatstatPer-function change history now listable
  10. 1y agofastplyrf_fill added and grouped joins repaired
  11. 2y agospatstatspatstat.univar joins the package family
  12. 3y agospatstatSub-package cross-references and docs corrected

Frequently asked questions

What is the difference between fastplyr and spatstat?

Both compete on the same themes — r-package — within Analytics. fastplyr and spatstat 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 spatstat?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fastplyr and spatstat 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 spatstat?

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