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Comparison · Analytics

enpls vs ggmagnify

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

Shared themes:r-package

enpls vs ggmagnify: at a glance

Featureenplsggmagnify
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themespartial-least-squares, ensemble-learning, chemometrics, maintenance-modeggplot2, data-visualization, inset-plots, r-package
Last editorial update1h ago47m ago
WebsiteVisit →Visit →

What is enpls?

enpls has not changed its statistics since 2016 — only its website, twice.

enpls implements ensemble partial least squares regression, with variants for feature selection, outlier detection and model applicability. Across the six most recent releases there is not one change to the modeling code. They cover a documentation website, a website URL change, a font stack, code indentation, a CI service, and most recently a GitHub Actions migration with an R CMD check note fix.

Read the full enpls trajectory →

What is ggmagnify?

A single-purpose ggplot2 inset tool, refining the same three arguments.

ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.

Read the full ggmagnify trajectory →

enpls vs ggmagnify: editorial side-by-side

E
enpls
ANALYTICS
0.0

enpls has not changed its statistics since 2016 — only its website, twice.

◆ Current state

enpls implements ensemble partial least squares regression, with variants for feature selection, outlier detection and model applicability. Across the six most recent releases there is not one change to the modeling code. They cover a documentation website, a website URL change, a font stack, code indentation, a CI service, and most recently a GitHub Actions migration with an R CMD check note fix.

◆ Where it's heading

The statistical work finished around version 5.6, which added cross-validation fold control and fixed component selection when the maximum was left unspecified. Everything since has kept the package installable and its docs online. The 2025 release arriving the same day as sibling package grex, with the same two fixes, confirms the pattern: these are maintainer sweeps across a portfolio, not attention to enpls specifically.

◆ Prediction

The next release will almost certainly be another CRAN or tooling fix. Six consecutive infrastructure-only releases across nine years give no basis for expecting new methods.

G
ggmagnify
ANALYTICS
0.0

A single-purpose ggplot2 inset tool, refining the same three arguments.

◆ Current state

ggmagnify draws magnified insets of a region of a ggplot, with projection lines connecting the inset to its source area. The visible releases are all small refinements to how that inset looks — corner radius, fill between projection lines — plus one fix for inset themes being overridden. There are only three entries, so the picture is necessarily partial.

◆ Where it's heading

Work concentrates on the visual finish of the inset rather than on new capability, which is what a package with one job should look like. Two feature releases a week apart in early 2024 suggest a short burst of attention rather than sustained development, and the feed goes quiet after mid-2024.

◆ Prediction

Too few entries to call a direction with confidence; continued small styling arguments would be consistent with what is visible.

Alternatives to enpls and ggmagnify

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 enpls or ggmagnify.

See all enpls alternatives → · See all ggmagnify alternatives →

Recent activity from enpls and ggmagnify

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

  1. 1y agoenplsenpls 6.1.1 moves pkgdown to GitHub Actions
  2. 2y agoggmagnifyFixes inset theme override on supplied plots
  3. 2y agoggmagnifyAdds fill between projection lines
  4. 2y agoggmagnifyAdds corner radius for target and inset
  5. 7y agoenplsenpls 6.1 adopts tidyverse code style
  6. 8y agoenplsenpls 6.0 changes the documentation URL
  7. 8y agoenplsenpls 5.9 drops Google Fonts from vignettes
  8. 9y agoenplsenpls 5.8 updates gallery images, enables HTTPS
  9. 9y agoenplsenpls 5.7 adds a pkgdown site and Windows CI

Frequently asked questions

What is the difference between enpls and ggmagnify?

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

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

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

What are the best alternatives to ggmagnify?

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