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easystats vs feasts

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

easystats vs feasts: at a glance

Featureeasystatsfeasts
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr ecosystem, meta-package, statistical reporting, licensingtime-series, r-stats, deprecation, package-split
Last editorial update1h ago47m 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 feasts?

feasts is splitting itself in two, moving every plot into ggtime

feasts provides feature extraction and statistics for tsibble time series. The last two releases are dominated by one decision: all of its gg_*() plotting functions are being moved out into a separate ggtime package. 0.4.2 announced the deprecation and 0.5.0 makes ggtime a dependency with soft-deprecation messages on every re-export.

Read the full feasts trajectory →

easystats vs feasts: 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.

F
feasts
ANALYTICS
0.0

feasts is splitting itself in two, moving every plot into ggtime

◆ Current state

feasts provides feature extraction and statistics for tsibble time series. The last two releases are dominated by one decision: all of its gg_*() plotting functions are being moved out into a separate ggtime package. 0.4.2 announced the deprecation and 0.5.0 makes ggtime a dependency with soft-deprecation messages on every re-export.

◆ Where it's heading

The package is narrowing to its stated purpose — features and statistics — and shedding graphics entirely over a deliberately slow two-year window. Everything else in the recent history is ggplot2 compatibility work and narrow seasonal-plot bug fixes, which is consistent with a maintainer trimming surface area rather than growing it.

◆ Prediction

The next releases should be compatibility upkeep while the ggtime deprecation runs its course; the re-exports stay until the announced window closes.

Alternatives to easystats and feasts

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 feasts.

See all easystats alternatives → · See all feasts alternatives →

Recent activity from easystats and feasts

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

  1. 6mo agofeastsfeasts moves its plots to ggtime behind a 2-year deprecation
  2. 11mo agofeastsggplot2 4.0.0 compatibility and the ggtime deprecation notice
  3. 1y agoeasystatseasystats_citations() added; install_latest() gains a github source
  4. 1y agoeasystatsComplete-workflow vignette added; install_suggested() fix
  5. 1y agofeastsgg_season() fix for sub-weekly daily data
  6. 1y agofeastsImpulse-response plots and Johansen cointegration tests
  7. 2y agoeasystatseasystats_packages() added; pak used for installs when available
  8. 2y agoeasystatsR version policy vignette added
  9. 2y agoeasystatsFix for development package version detection
  10. 2y agofeastsPatch for ggplot2 3.5.0 breaking changes
  11. 2y agoeasystatsEcosystem relicensed to MIT; two new authors added
  12. 3y agofeastsCRAN patch for S3 method consistency

Frequently asked questions

What is the difference between easystats and feasts?

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

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

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