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fastplyr vs tidyterra

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

Shared themes:r-package

fastplyr vs tidyterra: at a glance

Featurefastplyrtidyterra
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdataframe-performance, dplyr-alternative, query-optimization, cran-policygeospatial, terra, tidyverse, ggplot2
Last editorial update1h ago55m 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 tidyterra?

tidyterra finished wiring terra objects into the tidyverse, one verb family at a time.

tidyterra supplies tidyverse methods and ggplot2 geoms for terra's SpatRaster and SpatVector classes, so spatial objects can be manipulated with dplyr verbs and plotted without conversion. The 1.0.0 release in January 2026 set a hard ggplot2 4.0.0 floor and added broom-style generics — tidy(), glance() and required_pkgs() across SpatRaster, SpatVector, SpatGraticule and SpatExtent. The 1.1.0 and 1.2.0 releases since have filled in the remaining dplyr and tidyr verb surface for SpatVector.

Read the full tidyterra trajectory →

fastplyr vs tidyterra: 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.

T
tidyterra
ANALYTICS
0.0

tidyterra finished wiring terra objects into the tidyverse, one verb family at a time.

◆ Current state

tidyterra supplies tidyverse methods and ggplot2 geoms for terra's SpatRaster and SpatVector classes, so spatial objects can be manipulated with dplyr verbs and plotted without conversion. The 1.0.0 release in January 2026 set a hard ggplot2 4.0.0 floor and added broom-style generics — tidy(), glance() and required_pkgs() across SpatRaster, SpatVector, SpatGraticule and SpatExtent. The 1.1.0 and 1.2.0 releases since have filled in the remaining dplyr and tidyr verb surface for SpatVector.

◆ Where it's heading

The package is converging on complete verb coverage rather than branching into new capability. 1.2.0 landed the grouping and nesting family — group_split, group_nest, nest_by, nest, nest_join, group_map, group_modify, reframe, cross_join, complete, expand — which is the last large gap between SpatVector and an ordinary data frame. Its cadence is set externally: releases track ggplot2 and dplyr version transitions, adopting arguments like .by as they stabilize upstream. The maintainer now states AI assistance explicitly for both documentation and generated methods.

◆ Prediction

With the verb surface close to complete, expect the next releases to track upstream ggplot2 and dplyr changes and to extend coverage to SpatRaster where methods currently exist only for SpatVector.

Alternatives to fastplyr and tidyterra

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 tidyterra.

See all fastplyr alternatives → · See all tidyterra alternatives →

Recent activity from fastplyr and tidyterra

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

  1. 1mo agotidyterraGrouping and nesting verbs arrive for SpatVector
  2. 4mo agofastplyrNon-API C functions dropped, R 4.5.0 now required
  3. 5mo agotidyterra.by stabilizes across mutate, filter, slice and fill
  4. 6mo agotidyterra1.0.0 requires ggplot2 4.0 and adds broom-style generics
  5. 8mo agofastplyrIn-place sorting arrives with a C++17 requirement
  6. 10mo agofastplyrGroup-unaware expressions evaluated on the whole frame
  7. 1y agofastplyrf_mutate and f_reframe complete the verb set
  8. 1y agotidyterraTest hotfix for CRAN
  9. 1y agotidyterramask_projection stops rasters wrapping around the globe
  10. 1y agotidyterraFactor levels combined across layers; scale limits truncate legends
  11. 1y agofastplyrDynamic argument evaluation and f_pull
  12. 1y agofastplyrf_fill added and grouped joins repaired

Frequently asked questions

What is the difference between fastplyr and tidyterra?

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

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

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