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errors vs textplot

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

errors vs textplot: at a glance

Featureerrorstextplot
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesuncertainty-propagation, measurement, r-quantities, formattingnlp, visualization, r-package, maintenance
Last editorial update37m ago1h ago
WebsiteVisit →Visit →

What is errors?

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

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

Read the full errors trajectory →

What is textplot?

A bnosac plotting utility in maintenance mode, shipping once every few years

textplot is the visualisation member of the bnosac NLP family, providing plot methods for dependency parses, biterm topic clusters, co-occurrence graphs, correlation lines and word embeddings. The function surface has been stable since 0.2.0 added textplot_embedding_2d in 2021. The 2026 release touches only documentation links and a vignette guard.

Read the full textplot trajectory →

errors vs textplot: editorial side-by-side

E
errors
ANALYTICS
0.0

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

◆ Current state

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

◆ Where it's heading

Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.

◆ Prediction

Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.

T
textplot
ANALYTICS
0.0

A bnosac plotting utility in maintenance mode, shipping once every few years

◆ Current state

textplot is the visualisation member of the bnosac NLP family, providing plot methods for dependency parses, biterm topic clusters, co-occurrence graphs, correlation lines and word embeddings. The function surface has been stable since 0.2.0 added textplot_embedding_2d in 2021. The 2026 release touches only documentation links and a vignette guard.

◆ Where it's heading

This is a settled package, not a developing one. Releases since 0.2.0 have been reactive: a topic-assignment bug, a layout argument, and now cleanup after the archival of a dependency it linked to. The cadence — four years between 0.2.2 and 0.2.3 — tracks CRAN housekeeping on the wider bnosac stack rather than any roadmap of its own.

◆ Prediction

Expect the same pattern: the next release will most likely be another CRAN-compliance pass triggered by a change in udpipe, BTM or another sibling package, rather than a new textplot_* function.

Alternatives to errors and textplot

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 errors or textplot.

See all errors alternatives → · See all textplot alternatives →

Recent activity from errors and textplot

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

  1. 6mo agotextplotDrop link to archived ggalt, guard vignette model download
  2. 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
  3. 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
  4. 2y agoerrorserrors 0.4.2 adds PDG rounding rules
  5. 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
  6. 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
  7. 4y agotextplotDependency-parse plots gain a layout argument
  8. 4y agotextplotFix biterm topic assignment in cluster plots
  9. 4y agotextplotAdds 2D embedding plots
  10. 5y agoerrorserrors 0.3.6
  11. 5y agotextplotMake example conditional on udpipe availability
  12. 6y agotextplotPlot functions become generic; igraph moved to Suggests

Frequently asked questions

What is the difference between errors and textplot?

They serve adjacent needs but don't currently overlap on shipped themes. errors and textplot 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 errors better than textplot?

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

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

What are the best alternatives to textplot?

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