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Comparison · Infra & APIs

ggInterval vs survivoR

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

Shared themes:r-package

ggInterval vs survivoR: at a glance

FeatureggIntervalsurvivoR
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessymbolic-data-analysis, interval-data, ggplot2, data-visualizationdata-package, r-package, television, reality-tv
Last editorial update1h ago1d 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 survivoR?

A Survivor data package that keeps turning a TV show into a relational database

survivoR ships Survivor franchise data as R data frames covering the US, Australian, UK and New Zealand versions. Recent releases track broadcast: US48, US49 and US50 arrived across 2.3.6, 2.3.9 and 2.3.12, alongside AU09, AU12 and Australia vs. The World. The 2.3.12 release also reworked castaway_scores into an explicit three-tier structure - standardised residual scores, probabilistic scores bounded on [0,1], and combined scores - and added advantage_timeline as a long-format view of advantage movement.

Read the full survivoR trajectory →

ggInterval vs survivoR: 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.

S
survivoR
INFRA · APIS
0.0

A Survivor data package that keeps turning a TV show into a relational database

◆ Current state

survivoR ships Survivor franchise data as R data frames covering the US, Australian, UK and New Zealand versions. Recent releases track broadcast: US48, US49 and US50 arrived across 2.3.6, 2.3.9 and 2.3.12, alongside AU09, AU12 and Australia vs. The World. The 2.3.12 release also reworked castaway_scores into an explicit three-tier structure - standardised residual scores, probabilistic scores bounded on [0,1], and combined scores - and added advantage_timeline as a long-format view of advantage movement.

◆ Where it's heading

The work is less about adding seasons than about making the tables join cleanly. 2.3.1 rebuilt challenge_description and challenge_results around a shared challenge_id, added challenge characteristic flags and result notes, and put logical finalist, winner and jury flags on castaways. Since then the pattern repeats at smaller scale: boot_order as its own table, season_name deprecated everywhere except season_summary, castaways cleaned so people booted twice appear once. Derived analytical columns are being separated from raw records rather than mixed into them.

◆ Prediction

Expect the next release to add the current season's data on the same broadcast-following cadence, with any structural work continuing to split derived scores out of the raw tables.

Alternatives to ggInterval and survivoR

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 survivoR.

See all ggInterval alternatives → · See all survivoR alternatives →

Recent activity from ggInterval and survivoR

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

  1. 2mo agosurvivoRUS50 and AU12 land, castaway scores split into three tiers
  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. 7mo agosurvivoRUS49 data completed and season 50 cast added
  7. 11mo agosurvivoRSurvivor Australia vs. The World added
  8. 1y agosurvivoRboot_order table added and castaways deduplicated
  9. 2y agosurvivoRComplete AU09 data reaches CRAN
  10. 2y agosurvivoRChallenge tables rebuilt around a shared linking key

Frequently asked questions

What is the difference between ggInterval and survivoR?

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

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

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