simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
quanteda.textmodels vs simmer.plot
A side-by-side editorial comparison of quanteda.textmodels and simmer.plot — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
quanteda.textmodels vs simmer.plot: at a glance
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.
What is simmer.plot?
The plotting companion to simmer, shipping only when the simulator or a graphics dependency moves.
simmer.plot renders discrete-event simulation output — S3 plot() methods over get_mon_arrivals(), get_mon_attributes() and get_mon_resources(), plus trajectory diagrams drawn through DiagrammeR. Since 0.1.12 the methods attach to the monitoring data itself rather than the simulation environment, and 0.1.18 finished that migration by deleting the deprecated environment-level methods.
quanteda.textmodels vs simmer.plot: editorial side-by-side
quanteda.textmodels
0.0ANALYTICS
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.
simmer.plot
0.0ANALYTICS
The plotting companion to simmer, shipping only when the simulator or a graphics dependency moves.
◆ Current state
simmer.plot renders discrete-event simulation output — S3 plot() methods over get_mon_arrivals(), get_mon_attributes() and get_mon_resources(), plus trajectory diagrams drawn through DiagrammeR. Since 0.1.12 the methods attach to the monitoring data itself rather than the simulation environment, and 0.1.18 finished that migration by deleting the deprecated environment-level methods.
◆ Where it's heading
This package moves when something it depends on moves. Its history is a sequence of parser fixes for new simmer trajectory formats, DiagrammeR and tidyr and dplyr version bumps, and ggplot2 workarounds. The one clear internal decision — plotting monitor output instead of the environment — was made in 2017 and completed six years later. The 2025 release fixes documentation cross-references and nothing else.
◆ Prediction
The next release most likely follows a simmer trajectory-format change or a CRAN documentation policy, matching every recent entry. There is no visible feature work in the pipeline.
Alternatives to quanteda.textmodels and simmer.plot
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 quanteda.textmodels or simmer.plot.
lavaanExtra
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
ibis.iSDM
A raster-to-terra migration is the only readable change in a feed of merge notes.
anyflights
A nycflights13 generator whose recent work is all about the data being right.
vinereg
Conditional density and log-likelihood fill out a vine copula regression package.
stringx
A drop-in string API for base R, kept alive by upstream check failures.
See all quanteda.textmodels alternatives → · See all simmer.plot alternatives →
Recent activity from quanteda.textmodels and simmer.plot
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agosimmer.plotDocumentation cross-reference fixes
- 1y agoquanteda.textmodelsNamespace fixed after quanteda dropped RcppArmadillo
- 3y agosimmer.plotActivity tags and named rollbacks; deprecated plot methods removed
- 3y agoquanteda.textmodelsCRAN issues and documentation fixed
- 3y agoquanteda.textmodelsCompatibility with Matrix 1.4.2
- 4y agosimmer.plotZero-capacity utilization fixed; usage limits exposed
- 5y agoquanteda.textmodelsDuplicate example dfm removed
- 5y agoquanteda.textmodelsSVM default switched to the L2-regularized dual solver
- 5y agoquanteda.textmodelsLogistic regression classifier added; svmlin rewritten in C++ ⚡
- 6y agosimmer.plotRollback pointer fix and upstream bug workarounds
- 8y agosimmer.plotResource plot factors keep the supplied order
- 8y agosimmer.plotUpdate for DiagrammeR 1.0.0
Frequently asked questions
What is the difference between quanteda.textmodels and simmer.plot?
Both compete on the same themes — r-package — within Analytics. quanteda.textmodels and simmer.plot 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 quanteda.textmodels better than simmer.plot?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. quanteda.textmodels and simmer.plot 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 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.
What are the best alternatives to simmer.plot?
Top simmer.plot alternatives in Analytics are ranked by recent ship velocity. Browse the "simmer.plot alternatives" section above for the current picks, or visit /alternatives/simmer-plot for the full list with editorial commentary on each.