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easystats vs themis

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

easystats vs themis: at a glance

Featureeasystatsthemis
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesr ecosystem, meta-package, statistical reporting, licensingr, tidymodels, class-imbalance, resampling
Last editorial update49m ago3h 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 themis?

themis is back to adding real resampling algorithms after a documentation-heavy stretch.

themis supplies recipes steps for handling class imbalance in tidymodels. The 1.0.x line was consumed by documentation accuracy, message translation and internal consistency work. Version 1.1.0 returns to substance with two new under-sampling methods.

Read the full themis trajectory →

easystats vs themis: 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.

T
themis
ANALYTICS
2.5

themis is back to adding real resampling algorithms after a documentation-heavy stretch.

◆ Current state

themis supplies recipes steps for handling class imbalance in tidymodels. The 1.0.x line was consumed by documentation accuracy, message translation and internal consistency work. Version 1.1.0 returns to substance with two new under-sampling methods.

◆ Where it's heading

The package grows by adding algorithms rather than restructuring itself. tomek() was rewritten to handle multiple classes and drop the unbalanced dependency, case weights arrived at 1.0.0, and cluster-centroid and condensed-nearest-neighbour under-sampling arrive now — each shipped as both a recipes step and a direct-implementation function.

◆ Prediction

Expect further under- and over-sampling methods in the same paired form, as the package fills out coverage of the standard class-imbalance literature.

Alternatives to easystats and themis

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 themis.

See all easystats alternatives → · See all themis alternatives →

Recent activity from easystats and themis

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

  1. 10d agothemisthemis 1.1.0 adds cluster-centroid and CNN under-sampling
  2. 1y agoeasystatseasystats_citations() added; install_latest() gains a github source
  3. 1y agoeasystatsComplete-workflow vignette added; install_suggested() fix
  4. 1y agothemisthemis 1.0.3 corrects resampling direction in documentation
  5. 2y agoeasystatseasystats_packages() added; pak used for installs when available
  6. 2y agoeasystatsR version policy vignette added
  7. 2y agoeasystatsFix for development package version detection
  8. 2y agoeasystatsEcosystem relicensed to MIT; two new authors added
  9. 2y agothemisthemis 1.0.2 makes internal consistency and speed changes
  10. 3y agothemisthemis 1.0.1 fixes upsampling errors when none is needed
  11. 4y agothemisthemis 1.0.0 adds case weights to up- and down-sampling
  12. 4y agothemisthemis 0.2.2 rewrites tomek() for multiclass, drops a dependency

Frequently asked questions

What is the difference between easystats and themis?

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

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

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