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Comparison · Infra & APIs

ggh4x vs tealeaves

A side-by-side editorial comparison of ggh4x and tealeaves — release velocity, themes, recent moves, and the top alternatives to consider.

ggh4x vs tealeaves: at a glance

Featureggh4xtealeaves
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualization, facets, deprecationplant-physiology, energy-balance, leaf-temperature, units
Last editorial update2h ago2h ago
WebsiteVisit →Visit →

What is ggh4x?

Handed its axis and legend guides to ggplot2 and legendry, and kept the facets

ggh4x is a set of ggplot2 extensions — nested and manual facets, per-facet scales, forced panel sizes, and statistics such as stat_difference() and stat_rle(). Its guide functions, once a substantial part of the package, are deprecated: 0.3.0 redirected users to ggplot2's own guide arguments and to the legendry package, and 0.3.1 made the deprecated functions return plain equivalents. What remains as this package's own territory is facetting and panel layout.

Read the full ggh4x 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 →

ggh4x vs tealeaves: editorial side-by-side

G
ggh4x
INFRA · APIS
0.0

Handed its axis and legend guides to ggplot2 and legendry, and kept the facets

◆ Current state

ggh4x is a set of ggplot2 extensions — nested and manual facets, per-facet scales, forced panel sizes, and statistics such as stat_difference() and stat_rle(). Its guide functions, once a substantial part of the package, are deprecated: 0.3.0 redirected users to ggplot2's own guide arguments and to the legendry package, and 0.3.1 made the deprecated functions return plain equivalents. What remains as this package's own territory is facetting and panel layout.

◆ Where it's heading

The handover was signalled well in advance. Version 0.2.5 set the guides' lifecycle to 'questioning' and said outright they might migrate to a new package once ggplot2 overhauled its guide system, and 0.3.0 executed that eighteen months later. Much of the rest of the changelog is anticipatory compatibility work for upcoming ggplot2 releases, the standing cost of being an extension package. Releases carry playful codenames that say nothing about their contents.

◆ Prediction

The deprecated guide functions are scheduled for removal in the next non-hotfix release, so expect that next; continued work should concentrate on facets and panel sizing, the areas neither ggplot2 nor legendry has absorbed.

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 ggh4x 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 ggh4x or tealeaves.

See all ggh4x alternatives → · See all tealeaves alternatives →

Recent activity from ggh4x and tealeaves

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

  1. 1y agoggh4xDeprecated guides now return plain ggplot2 equivalents
  2. 1y agoggh4xGuide functions deprecated in favour of ggplot2 and legendry
  3. 2y agoggh4xCRAN note fix and two facet bug fixes
  4. 2y agoggh4xAnticipatory changes for ggplot2 3.5.0
  5. 3y agoggh4xGuides marked 'questioning'; render_empty and panel-area sizing
  6. 3y agoggh4xSemi-discrete manual scales and facet whitespace handling
  7. 4y agotealeavesCitation file, vignette and README fixes
  8. 6y agotealeavesParameter-crossing bug fixed with tests; coverage added
  9. 6y agotealeavesFix for custom sky temperature function being overwritten
  10. 6y agotealeavesSky temperature as value or function; dplyr 1.0.0 compatibility
  11. 7y agotealeavesUnitless parameter values now accepted and assigned units
  12. 7y agotealeavesFirst release: leaf energy balance with per-surface conductances

Frequently asked questions

What is the difference between ggh4x and tealeaves?

They serve adjacent needs but don't currently overlap on shipped themes. ggh4x 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 ggh4x better than tealeaves?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggh4x 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 ggh4x?

Top ggh4x alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggh4x alternatives" section above for the current picks, or visit /alternatives/ggh4x 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.