← Back to home
Comparison · Analytics

see vs tidytext

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

see vs tidytext: at a glance

Featureseetidytext
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, easystats, data-visualization, ggplot2text-mining, tidyverse, topic-models, quanteda
Last editorial update6h ago59m ago
WebsiteVisit →Visit →

What is see?

see grows wherever easystats adds a diagnostic, one plot method at a time.

see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.

Read the full see trajectory →

What is tidytext?

Finished, widely taught, and shipping roxygen fixes.

tidytext is the package that made unnest_tokens() and the tidy-data approach to text analysis standard, and it has reached the point where its releases contain nothing to announce. The last three are roxygen package anchors, alt text on vignette figures, and a single bug fix in one stm tidier. The most recent substantive changes were in 0.4.0 and 0.3.3 — stm tidiers for high FREX and lift words, a labels function for scale_x_reordered(), and support for tidying STM models that use content covariates.

Read the full tidytext trajectory →

see vs tidytext: editorial side-by-side

S
see
ANALYTICS
0.0

see grows wherever easystats adds a diagnostic, one plot method at a time.

◆ Current state

see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.

◆ Where it's heading

Growth here is downstream-driven rather than self-directed: see expands to cover new diagnostics as easystats produces them. Running alongside that is a sustained investment in presentation control — theme arguments on plot methods, elements that scale with base_size — which suits users embedding these plots in documents rather than glancing at them interactively.

◆ Prediction

Expect new plot methods to keep arriving in step with performance and parameters releases, with continued theming work rather than any change in the package's scope.

T
tidytext
ANALYTICS
0.0

Finished, widely taught, and shipping roxygen fixes.

◆ Current state

tidytext is the package that made unnest_tokens() and the tidy-data approach to text analysis standard, and it has reached the point where its releases contain nothing to announce. The last three are roxygen package anchors, alt text on vignette figures, and a single bug fix in one stm tidier. The most recent substantive changes were in 0.4.0 and 0.3.3 — stm tidiers for high FREX and lift words, a labels function for scale_x_reordered(), and support for tidying STM models that use content covariates.

◆ Where it's heading

The direction is stability, and the release triggers are external. quanteda releases force updates to the dfm tidiers, a Matrix release forces another, tokenizers deprecating its tweet tokenizer forces removal of the tweet-specific functions here, and CRAN's Rd anchor requirement produces a release of its own. Nothing in the recent stream suggests new capability is planned, and for a package this embedded in teaching material that is a defensible position rather than a problem.

◆ Prediction

The entries do not support predicting new features. The likely next release is another compatibility update prompted by quanteda, stm, or a CRAN documentation requirement.

Alternatives to see and tidytext

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 see or tidytext.

See all see alternatives → · See all tidytext alternatives →

Recent activity from see and tidytext

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

  1. 1mo agoseesee 0.14.1 adds plots for prior checks and grouped means
  2. 2mo agoseesee 0.14.0 renders factor loadings as node-edge graphs
  3. 6mo agoseesee 0.13.0 fixes reversed plot sorting, adds theme arguments
  4. 11mo agoseesee 0.12.0 extends normality checks to psych factor models
  5. 1y agotidytextUpdate roxygen package anchors for CRAN
  6. 1y agoseesee 0.11.0 scales theme elements with base_size
  7. 1y agoseesee 0.10.0 plots random-effect group levels for mixed models
  8. 2y agotidytextFigure alt text and a quanteda v4 vignette update
  9. 3y agotidytextFix the FREX stm tidier
  10. 3y agotidytextFREX and lift tidiers added; tweet tokenizers removed
  11. 3y agotidytextUpdate dfm tidier for the upcoming Matrix release
  12. 4y agotidytextReordered scales take a labels function; STM content models tidied

Frequently asked questions

What is the difference between see and tidytext?

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

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

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

What are the best alternatives to tidytext?

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