← Back to home
Comparison · Analytics

delaporte vs quanteda.textmodels

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

Shared themes:r-package

delaporte vs quanteda.textmodels: at a glance

Featuredelaportequanteda.textmodels
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesprobability-distributions, count-data, fortran, openmpr-package, text-classification, nlp, quanteda
Last editorial update1h ago54m ago
WebsiteVisit →Visit →

What is delaporte?

A Fortran-backed Delaporte distribution package where every release is compiler and CRAN weather.

Delaporte supplies the density, distribution, quantile and random-generation functions for the Delaporte distribution — a Poisson-negative-binomial convolution used for overdispersed count data — implemented in Fortran and called through C. The only user-facing addition in the visible history is explicit OpenMP thread control via getDelapThreads() and setDelapThreads() at 8.2.0.

Read the full delaporte 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 →

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

D
delaporte
ANALYTICS
0.0

A Fortran-backed Delaporte distribution package where every release is compiler and CRAN weather.

◆ Current state

Delaporte supplies the density, distribution, quantile and random-generation functions for the Delaporte distribution — a Poisson-negative-binomial convolution used for overdispersed count data — implemented in Fortran and called through C. The only user-facing addition in the visible history is explicit OpenMP thread control via getDelapThreads() and setDelapThreads() at 8.2.0.

◆ Where it's heading

The maintenance burden here is portability, not statistics. Recent entries track a Fortran suffix change for Intel compiler compatibility, architecture-specific test tolerances, type-safety corrections on values crossing the C-to-Fortran boundary, and a thread-count variable relocated from R options to an environment variable to follow an upstream R commit. The distribution functions themselves are settled; what changes is how the compiled code is built and checked across CRAN's platform matrix.

◆ Prediction

Expect the next release to follow another CRAN toolchain or Writing R Extensions policy change, as the last several have. Two of the four visible entries carry no notes at all, so this feed will keep understating what actually shipped.

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 delaporte 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 delaporte or quanteda.textmodels.

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

Recent activity from delaporte and quanteda.textmodels

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

  1. 1y agodelaporteThread limit moves to an environment variable; Fortran type checks tightened
  2. 1y agoquanteda.textmodelsNamespace fixed after quanteda dropped RcppArmadillo
  3. 3y agodelaporteExplicit OpenMP thread control functions added
  4. 3y agodelaporteCRAN release 8.1.1
  5. 3y agoquanteda.textmodelsCRAN issues and documentation fixed
  6. 3y agodelaporteCRAN release 8.1.0
  7. 3y agoquanteda.textmodelsCompatibility with Matrix 1.4.2
  8. 5y agoquanteda.textmodelsDuplicate example dfm removed
  9. 5y agoquanteda.textmodelsSVM default switched to the L2-regularized dual solver
  10. 5y agoquanteda.textmodelsLogistic regression classifier added; svmlin rewritten in C++

Frequently asked questions

What is the difference between delaporte and quanteda.textmodels?

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

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

Top delaporte alternatives in Analytics are ranked by recent ship velocity. Browse the "delaporte alternatives" section above for the current picks, or visit /alternatives/delaporte 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.