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Comparison · Infra & APIs

serocalculator vs tidyplots

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

serocalculator vs tidyplots: at a glance

Featureserocalculatortidyplots
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesserology, survey-design, cluster-robust, api-renamesdata-visualization, r-package, ggplot2, scientific-publishing
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is serocalculator?

A seroincidence engine grows up: whole API renamed, then clustered survey designs

serocalculator turns cross-sectional antibody measurements into infection-rate estimates, and it spent its last two releases making itself safe to depend on. Version 1.4.0 renamed nearly every user-facing function into a consistent est_seroincidence()/sr_params vocabulary; 1.4.1 shipped the migration crosswalk that admits how much that broke. The newest capability is cluster-robust variance estimation for household- and school-based surveys.

Read the full serocalculator 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 →

serocalculator vs tidyplots: editorial side-by-side

S
serocalculator
INFRA · APIS
0.0

A seroincidence engine grows up: whole API renamed, then clustered survey designs

◆ Current state

serocalculator turns cross-sectional antibody measurements into infection-rate estimates, and it spent its last two releases making itself safe to depend on. Version 1.4.0 renamed nearly every user-facing function into a consistent est_seroincidence()/sr_params vocabulary; 1.4.1 shipped the migration crosswalk that admits how much that broke. The newest capability is cluster-robust variance estimation for household- and school-based surveys.

◆ Where it's heading

The arc runs from method to instrument. Early releases added example data and plotting; recent ones fix the API surface, satisfy CRAN's offline-failure policy, and extend the estimator to sampling designs field epidemiology actually uses — multi-level clustering, stratification, and the two combined. Each release also carries visible refactoring discipline (one function per file, linting, per-PR website previews) that reads like a package preparing for contributors it does not have yet.

◆ Prediction

With cluster_var and stratum_var now threaded through both est_seroincidence() and est_seroincidence_by(), survey weights are the remaining piece of a complex-survey design the sandwich estimator does not cover. The entries do not name it, so read that as direction rather than a promise.

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 serocalculator 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 serocalculator or tidyplots.

See all serocalculator alternatives → · See all tidyplots alternatives →

Recent activity from serocalculator and tidyplots

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

  1. 3mo agoserocalculatorCluster-robust standard errors for household and school surveys
  2. 7mo agoserocalculatorEvery estimation function renamed, plus a simulation-study workflow
  3. 7mo agotidyplotstidyplots 0.4.0
  4. 1y agotidyplotstidyplots 0.3.1
  5. 1y agotidyplotstidyplots 0.2.2
  6. 1y agoserocalculatorBundled example datasets and a locator to find them
  7. 1y agotidyplotstidyplots 0.2.1
  8. 1y agotidyplotstidyplots 0.2.0
  9. 1y agotidyplotstidyplots 0.1.2

Frequently asked questions

What is the difference between serocalculator and tidyplots?

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

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

Top serocalculator alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "serocalculator alternatives" section above for the current picks, or visit /alternatives/serocalculator 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.