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Comparison · Analytics
enpls vs tidytab
A side-by-side editorial comparison of enpls and tidytab — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
enpls vs tidytab: at a glance
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.
What is tidytab?
A young tabulation helper whose first releases are all dependency modernisation
tidytab is a small R package for tidyverse-style tabulation, three releases into its public life. Nothing so far has added functionality: 0.2.0 fixed a cumulative-percentage calculation and moved to the base R pipe, and 0.3.0 swapped a retired purrr function for tidyr::expand_grid. The one substantive user-facing item in the history is the cumulative percentage fix.
enpls vs tidytab: editorial side-by-side
enpls
0.0ANALYTICS
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.
tidytab
0.0ANALYTICS
A young tabulation helper whose first releases are all dependency modernisation
◆ Current state
tidytab is a small R package for tidyverse-style tabulation, three releases into its public life. Nothing so far has added functionality: 0.2.0 fixed a cumulative-percentage calculation and moved to the base R pipe, and 0.3.0 swapped a retired purrr function for tidyr::expand_grid. The one substantive user-facing item in the history is the cumulative percentage fix.
◆ Where it's heading
The package is being brought up to current tidyverse conventions by a wave of first-time contributors — six of them in 0.2.0 alone — rather than developed by a sustained maintainer effort. That makes the near-term direction predictable and narrow: retire deprecated idioms, keep CRAN checks clean. There is not yet enough history to say what the package intends to become.
◆ Prediction
With deprecated tidyselect and purrr usage now cleared, the remaining work of this kind is thin, so the next release will show whether the contributor interest converts into new tabulation features or the package settles at its current surface.
Alternatives to enpls and tidytab
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 tidytab.
geodist
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors
errors keeps making uncertainty print the way each scientific field expects.
CMAQ
CMAQ went global in v5.5, and has been patching that surface ever since.
grex
grex is a lookup table with a version number — it ships when the annotation moves.
protr
protr's feature set is finished; the work now is surviving Bioconductor's churn.
See all enpls alternatives → · See all tidytab alternatives →
Recent activity from enpls and tidytab
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agotidytabpurrr::cross2() replaced with tidyr::expand_grid()
- 8mo agotidytabCumulative percentage fixed; base pipe replaces magrittr
- 9mo agotidytabNEWS.md added to track changes
- 1y agoenplsenpls 6.1.1 moves pkgdown to GitHub Actions
- 7y agoenplsenpls 6.1 adopts tidyverse code style
- 8y agoenplsenpls 6.0 changes the documentation URL
- 8y agoenplsenpls 5.9 drops Google Fonts from vignettes
- 9y agoenplsenpls 5.8 updates gallery images, enables HTTPS
- 9y agoenplsenpls 5.7 adds a pkgdown site and Windows CI
Frequently asked questions
What is the difference between enpls and tidytab?
Both compete on the same themes — r-package — within Analytics. enpls and tidytab 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 tidytab?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. enpls and tidytab 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 tidytab?
Top tidytab alternatives in Analytics are ranked by recent ship velocity. Browse the "tidytab alternatives" section above for the current picks, or visit /alternatives/tidytab-r for the full list with editorial commentary on each.