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distributions3 vs tidyterra

A side-by-side editorial comparison of distributions3 and tidyterra — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

distributions3 vs tidyterra: at a glance

Featuredistributions3tidyterra
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesr-package, probability-distributions, statistical-modelling, maintainershipgeospatial, terra, tidyverse, ggplot2
Last editorial update50m ago1h ago
WebsiteVisit →Visit →

What is distributions3?

distributions3 changes hands to Achim Zeileis, and a moment calculation bug goes with it.

An R package giving probability distributions a consistent object interface — d/p/q/r functions, moments, and prodist() methods that extract a fitted distribution from a regression object. Releases are infrequent, roughly one a year, and the last one is largely administrative: Achim Zeileis takes over maintenance from Alex Hayes, with all URLs and documentation updated to match, alongside a fix to incorrect moment calculations reported by a user.

Read the full distributions3 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 →

distributions3 vs tidyterra: editorial side-by-side

D2.5

distributions3 changes hands to Achim Zeileis, and a moment calculation bug goes with it.

◆ Current state

An R package giving probability distributions a consistent object interface — d/p/q/r functions, moments, and prodist() methods that extract a fitted distribution from a regression object. Releases are infrequent, roughly one a year, and the last one is largely administrative: Achim Zeileis takes over maintenance from Alex Hayes, with all URLs and documentation updated to match, alongside a fix to incorrect moment calculations reported by a user.

◆ Where it's heading

The package's growth has come in two modes. Early releases absorbed whole families of distributions from outside contributors — the extreme-value set, Erlang, later the Poisson binomial — while later ones tightened the interface itself with is_discrete() and is_continuous() generics and elementwise type-safety when applying a distribution vector to a numeric vector. The handover is the notable event in the current window: maintenance moves to the author of the surrounding statistical ecosystem this package already integrates with through prodist() and countreg, which suggests the interface work will continue over the distribution-collection work.

◆ Prediction

Expect closer alignment with Zeileis's own packages, with prodist() coverage widening to more model classes; the entries here do not indicate whether new distribution families remain on the agenda.

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 distributions3 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 distributions3 or tidyterra.

See all distributions3 alternatives → · See all tidyterra alternatives →

Recent activity from distributions3 and tidyterra

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

  1. 24d agodistributions3Maintenance moves to Achim Zeileis; moment calculations corrected
  2. 1mo agotidyterraGrouping and nesting verbs arrive for SpatVector
  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. 10mo agodistributions3ggplot2 compatibility for the plotting functions
  6. 1y agotidyterraTest hotfix for CRAN
  7. 1y agotidyterramask_projection stops rasters wrapping around the globe
  8. 1y agotidyterraFactor levels combined across layers; scale limits truncate legends
  9. 1y agodistributions3Poisson binomial distribution, with a normal-approximation fallback
  10. 3y agodistributions3is_discrete and is_continuous generics, plus elementwise type-safety
  11. 4y agodistributions3Extreme-value family, Erlang, and a plotting generic

Frequently asked questions

What is the difference between distributions3 and tidyterra?

Both compete on the same themes — r-package — within Analytics. distributions3 is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is distributions3 better than tidyterra?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. distributions3 is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to distributions3?

Top distributions3 alternatives in Analytics are ranked by recent ship velocity. Browse the "distributions3 alternatives" section above for the current picks, or visit /alternatives/distributions3-r 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.