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eulerr vs rempsyc

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

Shared themes:r-package

eulerr vs rempsyc: at a glance

Featureeulerrrempsyc
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeseuler-diagrams, set-visualization, optimization, cpp-backendapa-formatting, psychology-research, statistical-tables, ggplot2
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is eulerr?

The area-proportional Euler diagram package is finished software, and maintained like it.

eulerr generates area-proportional Euler and Venn diagrams by numerically optimizing shape positions and sizes to match set relationships, with the fitting done in C++. The last feature release was 7.0.0 in December 2022, which made the optimization's loss function user-selectable. Everything since has been maintenance: documentation URL corrections, a strip-layout fix when grouping, an Armadillo deprecation, and an R CMD check warning about an unignored config file.

Read the full eulerr trajectory →

What is rempsyc?

Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.

rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.

Read the full rempsyc trajectory →

eulerr vs rempsyc: editorial side-by-side

E
eulerr
ANALYTICS
0.0

The area-proportional Euler diagram package is finished software, and maintained like it.

◆ Current state

eulerr generates area-proportional Euler and Venn diagrams by numerically optimizing shape positions and sizes to match set relationships, with the fitting done in C++. The last feature release was 7.0.0 in December 2022, which made the optimization's loss function user-selectable. Everything since has been maintenance: documentation URL corrections, a strip-layout fix when grouping, an Armadillo deprecation, and an R CMD check warning about an unignored config file.

◆ Where it's heading

This is a mature package whose problem is solved, and the release pattern reflects that — three of the last four releases changed nothing a user would see. What activity remains is tracking its dependencies rather than its own roadmap: keeping up with Armadillo's deprecations and R CMD check policy is the whole of recent work. The two September 2025 releases an hour apart are a fix and its follow-up, not a development cycle restarting.

◆ Prediction

The pattern points to continued upkeep triggered by upstream C++ and CRAN check changes rather than new capability. If anything does move, the configurable loss function added in 7.0.0 is the surface with room left in it.

R
rempsyc
ANALYTICS
0.0

Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.

◆ Current state

rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.

◆ Where it's heading

Two forces drive this package and neither is its own roadmap. The first is APA style: when the 7th edition advised against beta for standardized coefficients, the package switched its output to italic b with an asterisk. The second is the surrounding ecosystem — formatting is aligned to what lavaanExtra and afex produce, contrast handling was delegated to easystats' modelbased, and Excel correlation matrix export was handed entirely to the correlation package to cut maintenance.

◆ Prediction

The pattern of delegating functionality to specialist packages while keeping the formatting layer is well established and likely continues. Because releases bundle many small dev versions, the next one will probably again mix plotting refinements with fixes surfaced by upstream changes.

Alternatives to eulerr and rempsyc

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 eulerr or rempsyc.

See all eulerr alternatives → · See all rempsyc alternatives →

Recent activity from eulerr and rempsyc

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

  1. 10mo agoeulerrConfig file added to Rbuildignore to clear a check warning
  2. 10mo agoeulerrDeprecated Armadillo call replaced and doc links repaired
  3. 11mo agorempsycPoint labels and per-group correlations added to nice_scatter
  4. 1y agorempsycExcel correlation export delegated to the correlation package
  5. 2y agorempsycTable spacing control and a fix for name collision with afex
  6. 2y agoeulerrStrip order and layout corrected for grouped diagrams
  7. 2y agoeulerrInternal documentation and a stale link corrected
  8. 2y agorempsycStandardized coefficients switch to APA 7th edition b* notation
  9. 2y agorempsycLegend and standardization-check fixes
  10. 2y agorempsycnice_table starts coercing model objects automatically
  11. 3y agoeulerrLayout optimization gains a selectable loss function
  12. 4y agoeulerrCitation added and error messages improved

Frequently asked questions

What is the difference between eulerr and rempsyc?

Both compete on the same themes — r-package — within Analytics. eulerr and rempsyc 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 eulerr better than rempsyc?

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

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

What are the best alternatives to rempsyc?

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