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Comparison · Infra & APIs

contagionchannels vs ggInterval

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

Shared themes:r-package

contagionchannels vs ggInterval: at a glance

FeaturecontagionchannelsggInterval
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themeseconometrics, contagion-analysis, cran-submission, r-packagesymbolic-data-analysis, interval-data, ggplot2, data-visualization
Last editorial update2h ago2h ago
WebsiteVisit →Visit →

What is contagionchannels?

Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.

contagionchannels reached CRAN on 2026-05-08 with a methodology preprint behind it and a cross-quantilogram lineage visible in its citations. What the release feed does not contain is any description of what the package computes: all three entries document the submission process — a licence field reduced from GPL-3 plus file to plain GPL-3, an arXiv reference rewritten in canonical DOI form, and a base-graphics fallback adjusted on a reviewer's request.

Read the full contagionchannels 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 →

contagionchannels vs ggInterval: editorial side-by-side

C
contagionchannels
INFRA · APIS
0.0

Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.

◆ Current state

contagionchannels reached CRAN on 2026-05-08 with a methodology preprint behind it and a cross-quantilogram lineage visible in its citations. What the release feed does not contain is any description of what the package computes: all three entries document the submission process — a licence field reduced from GPL-3 plus file to plain GPL-3, an arXiv reference rewritten in canonical DOI form, and a base-graphics fallback adjusted on a reviewer's request.

◆ Where it's heading

There is no product trajectory to read here yet, only a submission one, and it is unusually well documented — each entry names the reviewer or check that prompted it and quotes the feedback verbatim. That transparency is the one signal available: the maintainer treats review rounds as releases worth publishing rather than squashing. Any judgement about direction will have to wait for a release that changes the package rather than its metadata.

◆ Prediction

With CRAN acceptance secured, the next release should be the first to carry actual methodological content; until one appears, there is not enough in these entries to say where the package is heading.

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 contagionchannels 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 contagionchannels or ggInterval.

See all contagionchannels alternatives → · See all ggInterval alternatives →

Recent activity from contagionchannels and ggInterval

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

  1. 3mo agocontagionchannelsv0.1.3 — first CRAN release
  2. 3mo agocontagionchannelsv0.1.2: switch arXiv reference in DESCRIPTION to canonical DOI form
  3. 3mo agocontagionchannelsv0.1.1: address CRAN reviewer feedback (License) + add arXiv reference
  4. 3mo agoggIntervalInterval correlation heatmaps and time-series-compatible line plots
  5. 6mo agoggIntervalExamples switched to donttest per CRAN review
  6. 6mo agoggIntervalVignette rewritten to cover every plot function
  7. 6mo agoggIntervalSeven plot functions renamed for consistency

Frequently asked questions

What is the difference between contagionchannels and ggInterval?

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

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

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