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Comparison · Infra & APIs

ggInterval vs tealeaves

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

ggInterval vs tealeaves: at a glance

FeatureggIntervaltealeaves
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessymbolic-data-analysis, interval-data, ggplot2, data-visualizationplant-physiology, energy-balance, leaf-temperature, units
Last editorial update6h ago53m 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 tealeaves?

A leaf-temperature model that finished its job in 2020 and has stayed finished

tealeaves solves for leaf temperature from an energy balance, using explicit units to keep parameters consistent and modelling lower and upper leaf surfaces separately so sensible and latent heat loss are computed for each. The package reached its current form in 2020 across versions 1.0.2 to 1.0.5, which added direct or functional sky temperature, dplyr 1.0.0 compatibility, and fixes to a parameter-crossing bug that the new sky temperature function had introduced. The only release since, v1.0.6 in July 2022, corrects a name in the citation file, stops parallel evaluation in a vignette and fixes README links.

Read the full tealeaves trajectory →

ggInterval vs tealeaves: 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.

T
tealeaves
INFRA · APIS
0.0

A leaf-temperature model that finished its job in 2020 and has stayed finished

◆ Current state

tealeaves solves for leaf temperature from an energy balance, using explicit units to keep parameters consistent and modelling lower and upper leaf surfaces separately so sensible and latent heat loss are computed for each. The package reached its current form in 2020 across versions 1.0.2 to 1.0.5, which added direct or functional sky temperature, dplyr 1.0.0 compatibility, and fixes to a parameter-crossing bug that the new sky temperature function had introduced. The only release since, v1.0.6 in July 2022, corrects a name in the citation file, stops parallel evaluation in a vignette and fixes README links.

◆ Where it's heading

This is finished scientific software. The arc runs from a 1.0.0 that already described the full model, through a usability decision in 1.0.1 to accept unitless values and assign units rather than demand them, to a 2020 cluster of compatibility and correctness work around publication. Nothing since has touched the model, and the 2022 release is pure paperwork. Its most instructive entry remains 1.0.5, where a new feature silently produced incorrect parameter crossing and the fix arrived with tests to pin the behaviour.

◆ Prediction

Expect nothing unless a dependency or CRAN check forces a release; on this record any such release will be documentation and packaging rather than a change to the energy balance.

Alternatives to ggInterval and tealeaves

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 tealeaves.

See all ggInterval alternatives → · See all tealeaves alternatives →

Recent activity from ggInterval and tealeaves

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

  1. 3mo agoggIntervalInterval correlation heatmaps and time-series-compatible line plots
  2. 6mo agoggIntervalExamples switched to donttest per CRAN review
  3. 6mo agoggIntervalVignette rewritten to cover every plot function
  4. 6mo agoggIntervalSeven plot functions renamed for consistency
  5. 4y agotealeavesCitation file, vignette and README fixes
  6. 6y agotealeavesParameter-crossing bug fixed with tests; coverage added
  7. 6y agotealeavesFix for custom sky temperature function being overwritten
  8. 6y agotealeavesSky temperature as value or function; dplyr 1.0.0 compatibility
  9. 7y agotealeavesUnitless parameter values now accepted and assigned units
  10. 7y agotealeavesFirst release: leaf energy balance with per-surface conductances

Frequently asked questions

What is the difference between ggInterval and tealeaves?

They serve adjacent needs but don't currently overlap on shipped themes. ggInterval and tealeaves 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 tealeaves?

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

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