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Comparison · Analytics

enpls vs fairmodels

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

enpls vs fairmodels: at a glance

Featureenplsfairmodels
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themespartial-least-squares, ensemble-learning, chemometrics, maintenance-modefairness auditing, bias detection, dalex, r package
Last editorial update1h ago9h 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 fairmodels?

fairmodels sits dormant for three years, resurfacing only to satisfy a CRAN check.

fairmodels audits classification models for bias, built around fairness_check() and parity-loss metrics on top of DALEX explainers. The last substantive work dates from 2021; the 2025 release is a single-line change swapping ifelse for if/else in fairness_heatmap. Version 0.2.2 set the package's core design when it superseded metric differences with ratios.

Read the full fairmodels trajectory →

enpls vs fairmodels: 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.

F
fairmodels
ANALYTICS
0.0

fairmodels sits dormant for three years, resurfacing only to satisfy a CRAN check.

◆ Current state

fairmodels audits classification models for bias, built around fairness_check() and parity-loss metrics on top of DALEX explainers. The last substantive work dates from 2021; the 2025 release is a single-line change swapping ifelse for if/else in fairness_heatmap. Version 0.2.2 set the package's core design when it superseded metric differences with ratios.

◆ Where it's heading

The release history describes a package that reached its intended shape early and has been custodial since — the gap from August 2022 to October 2025 carries no functional change at all. What movement exists is CRAN-driven: documentation compliance, example runtimes, coding-style notes. The fairness metrics themselves have not changed since the parity_loss corrections of 2020.

◆ Prediction

On this cadence the next release is most likely another CRAN-prompted one-liner rather than new fairness metrics; nothing in these entries points to active development.

Alternatives to enpls and fairmodels

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 fairmodels.

See all enpls alternatives → · See all fairmodels alternatives →

Recent activity from enpls and fairmodels

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

  1. 9mo agofairmodelsOne-line fix in fairness_heatmap
  2. 1y agoenplsenpls 6.1.1 moves pkgdown to GitHub Actions
  3. 3y agofairmodelsCRAN compliance fixes and citation update
  4. 4y agofairmodelsCRAN v1.2.0
  5. 5y agofairmodelsCRAN v1.1.0
  6. 5y agofairmodelsDocumentation fixes and trimmed example runtimes
  7. 5y agofairmodelsCorrects parity_loss in the cutoff functions
  8. 7y agoenplsenpls 6.1 adopts tidyverse code style
  9. 8y agoenplsenpls 6.0 changes the documentation URL
  10. 8y agoenplsenpls 5.9 drops Google Fonts from vignettes
  11. 9y agoenplsenpls 5.8 updates gallery images, enables HTTPS
  12. 9y agoenplsenpls 5.7 adds a pkgdown site and Windows CI

Frequently asked questions

What is the difference between enpls and fairmodels?

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

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

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