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Comparison · Infra & APIs

surveycore vs tidyplots

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

surveycore vs tidyplots: at a glance

Featuresurveycoretidyplots
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessurvey-statistics, variance-estimation, replicate-weights, api-stabilitydata-visualization, r-package, ggplot2, scientific-publishing
Last editorial update2h ago51m ago
WebsiteVisit →Visit →

What is surveycore?

surveycore declared its API stable with every survey design type covered.

surveycore is the estimation engine of a two-package survey stack, handling design objects and variance estimation while surveytidy supplies the dplyr verbs on top. The June release marks it 1.0.0 and states the API is complete and stable across Taylor series linearization, replicate weights, two-phase and non-probability designs, with means, totals, frequencies, quantiles, ratios, correlations, regression, t-tests, ANOVA and effective sample size all in place.

Read the full surveycore trajectory →

What is tidyplots?

tidyplots keeps rebuilding its own foundations rather than layering around them.

tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.

Read the full tidyplots trajectory →

surveycore vs tidyplots: editorial side-by-side

S
surveycore
INFRA · APIS
0.0

surveycore declared its API stable with every survey design type covered.

◆ Current state

surveycore is the estimation engine of a two-package survey stack, handling design objects and variance estimation while surveytidy supplies the dplyr verbs on top. The June release marks it 1.0.0 and states the API is complete and stable across Taylor series linearization, replicate weights, two-phase and non-probability designs, with means, totals, frequencies, quantiles, ratios, correlations, regression, t-tests, ANOVA and effective sample size all in place.

◆ Where it's heading

The last months before 1.0.0 were spent making the awkward designs behave like the ordinary ones. Non-probability designs gained jackknife replicate schemes and got their bootstrap repweights routed through the replicate-weight variance estimator in survey_glm(), matching every other estimation function. The survey_collection abstraction — several surveys treated as one pseudo-data-frame — was tightened rather than extended: divergent grouping across members now errors instead of stitching a patchwork with bind_rows(), and the missing-variable argument was renamed and given a stored default on the collection itself. A documentation audit before 1.0.0 turned up six dispatch and print bugs and corrections across forty-plus files, which is the kind of thing that surfaces when an API is being frozen rather than extended.

◆ Prediction

A declared-stable API means the next releases should be additive or corrective rather than breaking, and the pre-1.0.0 pattern of breaking renames should stop. The tight version pinning between the two packages means surveytidy releases will keep following surveycore's.

T
tidyplots
INFRA · APIS
0.0

tidyplots keeps rebuilding its own foundations rather than layering around them.

◆ Current state

tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.

◆ Where it's heading

The package is converging on ggplot2 rather than abstracting away from it: split_plot() now uses facet_wrap and facet_grid, as_tidyplot() was hard-deprecated on the grounds that converting a ggplot was never a good idea, and releases are timed against upstream ggplot2 versions. The other constant is the statistics surface, which has grown from basic error bars to paired and selected comparisons. Breaking changes are announced plainly and frequently, consistent with a package using 0.x to fix its shape before committing.

◆ Prediction

The patchwork removal is described as something that will eventually break dependent code, so the near-term work is likely completing that migration and settling the split_plot() parameters introduced alongside it. A 1.0 would signal the breaking-change cadence is ending, and nothing here indicates that yet.

Alternatives to surveycore and tidyplots

Other Infra & APIs 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 surveycore or tidyplots.

See all surveycore alternatives → · See all tidyplots alternatives →

Recent activity from surveycore and tidyplots

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

  1. 2mo agosurveycoreFirst stable release: all four survey design types complete
  2. 3mo agosurveycoreget_effective_n() computes effective sample size
  3. 3mo agosurveycoreCollections error on divergent grouping; .on_missing renamed
  4. 4mo agosurveycoreCRAN patch removing surveytidy from the vignette
  5. 7mo agotidyplotstidyplots 0.4.0
  6. 1y agotidyplotstidyplots 0.3.1
  7. 1y agotidyplotstidyplots 0.2.2
  8. 1y agotidyplotstidyplots 0.2.1
  9. 1y agotidyplotstidyplots 0.2.0
  10. 1y agotidyplotstidyplots 0.1.2

Frequently asked questions

What is the difference between surveycore and tidyplots?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. surveycore and tidyplots 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to surveycore?

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

What are the best alternatives to tidyplots?

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