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easystats vs patchwork

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

easystats vs patchwork: at a glance

Featureeasystatspatchwork
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr ecosystem, meta-package, statistical reporting, licensingggplot2, composition, tables, layout
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is easystats?

The easystats meta-package is install tooling wrapped around a relicensed ecosystem.

easystats is the meta-package for the easystats ecosystem, which spans insight, parameters, performance and their siblings. It ships almost no statistics of its own; its releases add installation helpers, ecosystem introspection functions and vignettes. The consequential release in this window is 0.7.0, which moved the whole ecosystem to an MIT license.

Read the full easystats trajectory →

What is patchwork?

patchwork stopped being a ggplot composer and became a page composer.

patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.

Read the full patchwork trajectory →

easystats vs patchwork: editorial side-by-side

E
easystats
ANALYTICS
0.0

The easystats meta-package is install tooling wrapped around a relicensed ecosystem.

◆ Current state

easystats is the meta-package for the easystats ecosystem, which spans insight, parameters, performance and their siblings. It ships almost no statistics of its own; its releases add installation helpers, ecosystem introspection functions and vignettes. The consequential release in this window is 0.7.0, which moved the whole ecosystem to an MIT license.

◆ Where it's heading

Work concentrates on making the ecosystem legible and installable as a unit: easystats_packages() to enumerate it, easystats_citations() to count its citations, pak and r-universe support to install it, and a complete-workflow vignette to show it in use. Underneath that, 0.7.0 settled the licensing and formalized the author list. The pattern is a project tending its own boundaries rather than adding capability.

◆ Prediction

The recent additions are all introspection and installation helpers, so the next release most likely adds another of those or refreshes component versions rather than changing what the ecosystem does.

P
patchwork
ANALYTICS
0.0

patchwork stopped being a ggplot composer and became a page composer.

◆ Current state

patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.

◆ Where it's heading

The centre of gravity is shifting from alignment mechanics to composition scope. Early releases were almost entirely bug fixes against grid and ggplot2 internals — strip placement, fixed aspect ratios, guide merging. Recent ones add object types and escape hatches instead. Between feature cycles the package is in maintenance defined by ggplot2's release calendar, which is what 1.3.1 is in its entirety.

◆ Prediction

Expect wrap_table() to grow beyond gt to other table objects, and expect the next substantive release to be triggered by a ggplot2 internals change rather than by a patchwork roadmap.

Alternatives to easystats and patchwork

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 easystats or patchwork.

See all easystats alternatives → · See all patchwork alternatives →

Recent activity from easystats and patchwork

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

  1. 11mo agopatchworkFix spurious load-time warnings
  2. 1y agoeasystatseasystats_citations() added; install_latest() gains a github source
  3. 1y agopatchworkCompatibility pass for the next ggplot2 release
  4. 1y agoeasystatsComplete-workflow vignette added; install_suggested() fix
  5. 1y agopatchworkgt tables become first-class patchwork objects
  6. 2y agoeasystatseasystats_packages() added; pak used for installs when available
  7. 2y agoeasystatsR version policy vignette added
  8. 2y agoeasystatsFix for development package version detection
  9. 2y agopatchworkAxis collection and free() arrive
  10. 2y agoeasystatsEcosystem relicensed to MIT; two new authors added
  11. 3y agopatchworkPatchworks behave like lists; NULL becomes a no-op
  12. 3y agopatchworkClearer error when plotting space is too small

Frequently asked questions

What is the difference between easystats and patchwork?

They serve adjacent needs but don't currently overlap on shipped themes. easystats and patchwork 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 easystats better than patchwork?

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

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

What are the best alternatives to patchwork?

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