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Comparison · Infra & APIs

eratosthenes vs ggInterval

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

Shared themes:r-package

eratosthenes vs ggInterval: at a glance

FeatureeratosthenesggInterval
SectorInfra & APIsInfra & APIs
Velocity score2.50.0
Sparks · 30d00
Top themesarchaeology, bayesian-inference, mcmc, input-validationsymbolic-data-analysis, interval-data, ggplot2, data-visualization
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is eratosthenes?

eratosthenes spends 0.1.0 hardening inputs rather than adding chronology methods.

eratosthenes does Bayesian estimation of archaeological chronologies from relative sequences, absolute constraints and artifact assemblages. The 0.0.9 line built out the inference diagnostics — traceplots, histograms, batch-means MCSE reporting, displacement estimation — and then consolidated artifact probability-density estimation into a single gibbs_ad_type(). The 0.1.0 tag turns outward instead, adding validators for every user-supplied structure and replacing seq_check() with a more informative seq_diag().

Read the full eratosthenes trajectory →

What is ggInterval?

Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.

ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.

Read the full ggInterval trajectory →

eratosthenes vs ggInterval: editorial side-by-side

E
eratosthenes
INFRA · APIS
2.5

eratosthenes spends 0.1.0 hardening inputs rather than adding chronology methods.

◆ Current state

eratosthenes does Bayesian estimation of archaeological chronologies from relative sequences, absolute constraints and artifact assemblages. The 0.0.9 line built out the inference diagnostics — traceplots, histograms, batch-means MCSE reporting, displacement estimation — and then consolidated artifact probability-density estimation into a single gibbs_ad_type(). The 0.1.0 tag turns outward instead, adding validators for every user-supplied structure and replacing seq_check() with a more informative seq_diag().

◆ Where it's heading

The package is moving from research code to something a non-author can run. Consolidating estimation behind one function, then wrapping every input class in a validator, are the two steps that make failures legible instead of cryptic, and the diagnostics added earlier serve the same end for the sampler itself. Nothing in the window changes the underlying model; the work is all about making it usable and its output checkable.

◆ Prediction

With inputs validated and diagnostics in place, the next release is more likely to extend the constraint or assemblage modelling than to keep reworking the interface, though the feed's three sparse tags give little to read a cadence from.

G
ggInterval
INFRA · APIS
0.0

Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.

◆ Current state

ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.

◆ Where it's heading

The package is consolidating an interface that had drifted. Renaming seven functions in a single release is the clearest signal — the naming was inconsistent enough to be worth breaking, and the vignette rewrite that followed suggests discoverability was the underlying complaint. Underneath that, the additions are steady and narrow: each release brings interval-aware versions of plot types that already exist for point data, which is the whole premise of the package.

◆ Prediction

The pattern of porting one more standard plot type into interval-aware form each release is the most likely continuation; the tsplot compatibility in the latest version hints that time-series interval data is the direction attracting attention.

Alternatives to eratosthenes and ggInterval

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 eratosthenes or ggInterval.

See all eratosthenes alternatives → · See all ggInterval alternatives →

Recent activity from eratosthenes and ggInterval

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

  1. 10d agoeratosthenesInput validators added; seq_check() replaced by seq_diag()
  2. 3mo agoggIntervalInterval correlation heatmaps and time-series-compatible line plots
  3. 6mo agoggIntervalExamples switched to donttest per CRAN review
  4. 6mo agoggIntervalVignette rewritten to cover every plot function
  5. 6mo agoggIntervalSeven plot functions renamed for consistency
  6. 1y agoeratosthenesArtifact p.d.f. estimation consolidated into gibbs_ad_type()
  7. 1y agoeratosthenesMCMC diagnostics arrive: traceplots, histograms, batch-means MCSE

Frequently asked questions

What is the difference between eratosthenes and ggInterval?

Both compete on the same themes — r-package — within Infra & APIs. eratosthenes is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is eratosthenes better than ggInterval?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. eratosthenes is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to eratosthenes?

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

What are the best alternatives to ggInterval?

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