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Comparison · Infra & APIs

ggInterval vs inti

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

Shared themes:r-package

ggInterval vs inti: at a glance

FeatureggIntervalinti
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themessymbolic-data-analysis, interval-data, ggplot2, data-visualizationplant-science, pca, shiny, reproducible-reporting
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

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 →

What is inti?

inti keeps compounding small statistics and publishing tools for plant-science labs.

inti bundles the tooling a plant-science lab uses end to end: the Yupana analysis app, the Tarpuy experiment planner, scihub and rticle document rendering, and helpers for ANOVA and heritability. The 0.7.x line has been dominated by one thread, a PCA sub-module in Yupana carrying variable contribution, dimension correlation, supplementary variables and per-dimension selection. Releases are cumulative: 0.7.0, 0.7.1 and 0.7.2 all restate the same PCA lines, with each tag adding a few items on top, and 0.7.0 itself is split across two tags published 35 seconds apart.

Read the full inti trajectory →

ggInterval vs inti: editorial side-by-side

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.

I
inti
INFRA · APIS
2.5

inti keeps compounding small statistics and publishing tools for plant-science labs.

◆ Current state

inti bundles the tooling a plant-science lab uses end to end: the Yupana analysis app, the Tarpuy experiment planner, scihub and rticle document rendering, and helpers for ANOVA and heritability. The 0.7.x line has been dominated by one thread, a PCA sub-module in Yupana carrying variable contribution, dimension correlation, supplementary variables and per-dimension selection. Releases are cumulative: 0.7.0, 0.7.1 and 0.7.2 all restate the same PCA lines, with each tag adding a few items on top, and 0.7.0 itself is split across two tags published 35 seconds apart.

◆ Where it's heading

Two axes are moving. Analysis is deepening inside Yupana, where PCA went from a single view to a sub-module with its own contribution and correlation outputs across three tags. Publishing is widening around rticle() and scihub(), which now handle Google Docs markdown, crossrefs and page numbers, continuing the gdocs2qmd work from the 0.6 line. Neither is a change of direction; the package accretes features where the maintainer's own research workflow needs them.

◆ Prediction

Expect the next tag to extend the PCA sub-module again and add another rticle() or scihub() rendering detail, on the two-to-six-week cadence the 0.7 line has held.

Alternatives to ggInterval and inti

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 ggInterval or inti.

See all ggInterval alternatives → · See all inti alternatives →

Recent activity from ggInterval and inti

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

  1. 22d agointiscihub() gains pages, rticle() improves crossrefs
  2. 1mo agointi0.7.1 restates the 0.7.0 PCA and Tarpuy notes
  3. 2mo agointiPCA sub-module adds contribution and dimension correlation
  4. 2mo agointiNew rticle() renders Google Docs markdown into articles
  5. 3mo agoggIntervalInterval correlation heatmaps and time-series-compatible line plots
  6. 6mo agoggIntervalExamples switched to donttest per CRAN review
  7. 6mo agoggIntervalVignette rewritten to cover every plot function
  8. 6mo agoggIntervalSeven plot functions renamed for consistency
  9. 10mo agointiH2cal() takes factors as a formula; scihub() templates updated
  10. 11mo agointiSciHub RStudio addin arrives; gdocs2qmd table export fixed

Frequently asked questions

What is the difference between ggInterval and inti?

Both compete on the same themes — r-package — within Infra & APIs. inti 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 ggInterval better than inti?

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

What are the best alternatives to inti?

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