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enpls vs parallelDist

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

Shared themes:maintenance-mode

enpls vs parallelDist: at a glance

FeatureenplsparallelDist
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themespartial-least-squares, ensemble-learning, chemometrics, maintenance-modedistance-matrix, parallel-computing, rcpp, maintenance-mode
Last editorial update1h ago1h 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 parallelDist?

parallelDist is in pure preservation mode — one build fix every few years.

parallelDist computes distance matrices across threads in C++ via RcppParallel and Armadillo. The feature set has been settled since 0.2.3 in 2018, which added hamming distance and cosine similarity; everything after that is compatibility work. The most recent release, 0.2.7, exists only to drop a C++11 pin that newer Armadillo versions no longer tolerate.

Read the full parallelDist trajectory →

enpls vs parallelDist: 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.

P
parallelDist
ANALYTICS
0.0

parallelDist is in pure preservation mode — one build fix every few years.

◆ Current state

parallelDist computes distance matrices across threads in C++ via RcppParallel and Armadillo. The feature set has been settled since 0.2.3 in 2018, which added hamming distance and cosine similarity; everything after that is compatibility work. The most recent release, 0.2.7, exists only to drop a C++11 pin that newer Armadillo versions no longer tolerate.

◆ Where it's heading

The package is being kept installable, not developed. The three most recent releases are a toolchain pin removal, a DESCRIPTION field removal, and a coercion change inherited from proxy — none originate from user-facing intent. Gaps of three to four years between releases are the norm now, and each one is triggered by something upstream breaking rather than by a roadmap.

◆ Prediction

The next release will almost certainly be another compatibility fix timed to whatever Armadillo, Rcpp or CRAN check policy changes next. Nothing in the entries points to new distance measures or API work.

Alternatives to enpls and parallelDist

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 parallelDist.

See all enpls alternatives → · See all parallelDist alternatives →

Recent activity from enpls and parallelDist

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

  1. 10mo agoparallelDistparallelDist 0.2.7 drops the C++11 pin for newer Armadillo
  2. 1y agoenplsenpls 6.1.1 moves pkgdown to GitHub Actions
  3. 4y agoparallelDistparallelDist 0.2.6: LazyData removed, vignette font swapped
  4. 4y agoparallelDistparallelDist 0.2.5 changes cosine distance to 1-x
  5. 7y agoenplsenpls 6.1 adopts tidyverse code style
  6. 7y agoparallelDistparallelDist 0.2.4 fixes the Solaris build
  7. 7y agoparallelDistparallelDist 0.2.3 adds hamming and cosine measures
  8. 7y agoparallelDistparallelDist 0.2.2
  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 parallelDist?

Both compete on the same themes — maintenance-mode — within Analytics. enpls and parallelDist 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 parallelDist?

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

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