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aqp vs quanteda.textmodels

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

Shared themes:r-package

aqp vs quanteda.textmodels: at a glance

Featureaqpquanteda.textmodels
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, soil-science, s4-classes, munsell-colorr-package, text-classification, nlp, quanteda
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is aqp?

The 1.x line, tagged retroactively after a decade of SoilProfileCollection redesign.

aqp provides the SoilProfileCollection class and the algorithms built on it for soil profile data, colour, and taxonomy. The most recent tag in this feed is explicitly retroactive: 1.42 was cut in 2025 to mark the last CRAN state before the 2.0 release. Between 2018 and 2021 the class internals were reworked twice, the Munsell colour tooling grew substantially, and data.table replaced reshape underneath the wide-to-long transformations.

Read the full aqp trajectory →

What is quanteda.textmodels?

Split out of quanteda, then quiet - one new classifier since 2020.

quanteda.textmodels holds the scaling and classification models factored out of quanteda's main package. The visible history is thin: a logistic regression classifier and a native C++ rewrite of svmlin in late 2020, an SVM default change in early 2021, and after that only compatibility work. The most recent release fixes a namespace break caused by quanteda 4.1.0 dropping RcppArmadillo.

Read the full quanteda.textmodels trajectory →

aqp vs quanteda.textmodels: editorial side-by-side

A
aqp
ANALYTICS
0.0

The 1.x line, tagged retroactively after a decade of SoilProfileCollection redesign.

◆ Current state

aqp provides the SoilProfileCollection class and the algorithms built on it for soil profile data, colour, and taxonomy. The most recent tag in this feed is explicitly retroactive: 1.42 was cut in 2025 to mark the last CRAN state before the 2.0 release. Between 2018 and 2021 the class internals were reworked twice, the Munsell colour tooling grew substantially, and data.table replaced reshape underneath the wide-to-long transformations.

◆ Where it's heading

Two threads run through the window. The core object was progressively rebuilt - a new horizon-ID slot in 1.17, then a wave of renames and argument removals in 1.25 that broke code deliberately ahead of 2.0. Alongside it, colour work compounded: mixMunsell, spectral mixing, colour quantiles, a chip-frequency chart, and PMS conversion. Tag order here is not release order, since 1.42 was applied to an older commit.

◆ Prediction

This feed reads as a closed chapter - further entries on it would be backfill, with active work having moved to the 2.x series.

Q0.0

Split out of quanteda, then quiet - one new classifier since 2020.

◆ Current state

quanteda.textmodels holds the scaling and classification models factored out of quanteda's main package. The visible history is thin: a logistic regression classifier and a native C++ rewrite of svmlin in late 2020, an SVM default change in early 2021, and after that only compatibility work. The most recent release fixes a namespace break caused by quanteda 4.1.0 dropping RcppArmadillo.

◆ Where it's heading

The package now moves when its parent or a dependency moves, not on its own schedule. Four of the six most recent releases exist to track changes in quanteda, Matrix, or CRAN policy. The modelling decisions that were made - defaulting textmodel_svm() to the L2-regularized L2-loss dual solver, reducing svmlin to a single algorithm - have not been revisited since.

◆ Prediction

The next release most likely follows another upstream change in quanteda or a Matrix and Rcpp dependency rather than adding a model.

Alternatives to aqp and quanteda.textmodels

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 aqp or quanteda.textmodels.

See all aqp alternatives → · See all quanteda.textmodels alternatives →

Recent activity from aqp and quanteda.textmodels

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

  1. 1y agoaqpRetroactive tag for the last 1.x CRAN state
  2. 1y agoquanteda.textmodelsNamespace fixed after quanteda dropped RcppArmadillo
  3. 3y agoquanteda.textmodelsCRAN issues and documentation fixed
  4. 3y agoquanteda.textmodelsCompatibility with Matrix 1.4.2
  5. 4y agoaqpMunsell mixing gains an exact spectral method
  6. 5y agoquanteda.textmodelsDuplicate example dfm removed
  7. 5y agoquanteda.textmodelsSVM default switched to the L2-regularized dual solver
  8. 5y agoaqpdata.table replaces reshape under the class internals
  9. 5y agoquanteda.textmodelsLogistic regression classifier added; svmlin rewritten in C++
  10. 5y agoaqpCore class methods renamed and pruned ahead of 2.0
  11. 7y agoaqpNew horizon-ID slot closes the 1.x major line

Frequently asked questions

What is the difference between aqp and quanteda.textmodels?

Both compete on the same themes — r-package — within Analytics. aqp and quanteda.textmodels 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 aqp better than quanteda.textmodels?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. aqp and quanteda.textmodels 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 aqp?

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

What are the best alternatives to quanteda.textmodels?

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