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enpls alternatives

The best enpls alternatives in analytics tools, ranked by Sparkpulse's velocity_score.

Updated Aug 15, 2026

Looking for the best alternatives to enpls? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, enpls shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.

About 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.

Velocity 0.0 · Last update 40m ago

Read the full enpls trajectory →

Top 12 alternatives to enpls

Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.

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enpls vs alternatives — shipping velocity at a glance

Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.

ProductVelocitySparks · 30dFocus areasLatest release
enpls (baseline)0.00partial-least-squaresensemble-learningchemometrics
paleobuddy0.00phylogeneticsdiversificationfossil-recordpaleobuddy 1.1.0 adds SSE trait-dependent simulation
geodist0.00geospatialdistance-calculationzero-dependency
errors0.00uncertainty-propagationmeasurementr-quantities
CMAQ0.00air-qualityatmospheric-modelingepaCMAQ 5.5 adds global simulation coupled to MPAS-A
grex0.00gtexgene-annotationbioinformatics
protr0.00proteomicssequence-descriptorsbioconductor
seriation0.00seriationmatrix-reorderingoptimizationseriation 1.5.0 adds seriate_best and parallel repeated search
arulesViz0.00association-rulesvisualizationggplot2
EvoPhylo0.00phylogeneticsbayesian-inferencebeast2
treespace0.00phylogeneticstransmission-treescran-compliance
Rpath0.00ecosystem-modelingfisheriesmass-balanceRpath 1.1.0 imports EwE .eiixml models and estimates P/B
TAF0.00reproducibilityfisheries-scienceicesTAF 4.0.0 refocuses on ICES and drops every external dependency

The 12 best enpls alternatives, in depth

1. paleobuddy · velocity 0.0

Paleobuddy can now simulate trait-dependent diversification, not just birth-death.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “paleobuddy 1.1.0 adds SSE trait-dependent simulation”.

Where enpls leans on partial least squares, ensemble learning and chemometrics, paleobuddy focuses on phylogenetics, diversification and fossil record.

paleobuddy and enpls have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

2. geodist · velocity 0.0

Geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where enpls leans on partial least squares, ensemble learning and chemometrics, geodist focuses on geospatial, distance calculation and zero dependency.

geodist and enpls have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

3. errors · velocity 0.0

Errors keeps making uncertainty print the way each scientific field expects.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where enpls leans on partial least squares, ensemble learning and chemometrics, errors focuses on uncertainty propagation, measurement and r quantities.

errors and enpls have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

4. CMAQ · velocity 0.0

CMAQ went global in v5.5, and has been patching that surface ever since.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “CMAQ 5.5 adds global simulation coupled to MPAS-A”.

Where enpls leans on partial least squares, ensemble learning and chemometrics, CMAQ focuses on air quality, atmospheric modeling and epa.

CMAQ and enpls have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

5. grex · velocity 0.0

Grex is a lookup table with a version number — it ships when the annotation moves.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where enpls leans on partial least squares, ensemble learning and chemometrics, grex focuses on gtex, gene annotation and bioinformatics.

grex and enpls have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

6. protr · velocity 0.0

Protr's feature set is finished; the work now is surviving Bioconductor's churn.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where enpls leans on partial least squares, ensemble learning and chemometrics, protr focuses on proteomics, sequence descriptors and bioconductor.

protr and enpls have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

7. seriation · velocity 0.0

Seriation stopped shipping algorithms and started shipping a way to pick between them.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “seriation 1.5.0 adds seriate_best and parallel repeated search”.

Where enpls leans on partial least squares, ensemble learning and chemometrics, seriation focuses on seriation, matrix reordering and optimization.

seriation and enpls have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

8. arulesViz · velocity 0.0

ArulesViz finished its move to ggplot2 and has been coasting on maintenance since.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where enpls leans on partial least squares, ensemble learning and chemometrics, arulesViz focuses on association rules, visualization and ggplot2.

arulesViz and enpls have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

9. EvoPhylo · velocity 0.0

EvoPhylo added BEAST2 alongside MrBayes, then went quiet for two years.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where enpls leans on partial least squares, ensemble learning and chemometrics, EvoPhylo focuses on phylogenetics, bayesian inference and beast2.

EvoPhylo and enpls have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

10. treespace · velocity 0.0

Treespace ships once every year or two, and only when CRAN or a user forces it.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where enpls leans on partial least squares, ensemble learning and chemometrics, treespace focuses on phylogenetics, transmission trees and cran compliance.

treespace and enpls have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

11. Rpath · velocity 0.0

Rpath 1.1.0 learns to read Ecopath's own files, easing migration off the desktop tool.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Rpath 1.1.0 imports EwE .eiixml models and estimates P/B”.

Where enpls leans on partial least squares, ensemble learning and chemometrics, Rpath focuses on ecosystem modeling, fisheries and mass balance.

Rpath and enpls have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

12. TAF · velocity 0.0

TAF keeps turning ICES stock assessments into reproducible, dependency-pinned projects.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “TAF 4.0.0 refocuses on ICES and drops every external dependency”.

Where enpls leans on partial least squares, ensemble learning and chemometrics, TAF focuses on reproducibility, fisheries science and ices.

TAF and enpls have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

Frequently asked questions

What are the best alternatives to enpls?

The top enpls alternatives we currently track in analytics tools are paleobuddy, geodist, errors, CMAQ, grex, ranked by recent ship velocity.

How is this list of enpls alternatives ranked?

Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.

Can I compare enpls directly with one of these alternatives?

Yes — every card has a "Compare with enpls" link to a side-by-side /compare page.