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Comparison · Infra & APIs

inti vs legendry

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

Shared themes:r-package

inti vs legendry: at a glance

Featureintilegendry
SectorInfra & APIsInfra & APIs
Velocity score2.50.0
Sparks · 30d00
Top themesplant-science, pca, shiny, reproducible-reportingggplot2, data-visualization, axes-and-legends, r-package
Last editorial update3h ago2h ago
WebsiteVisit →Visit →

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 →

What is legendry?

A ggplot2 extension quietly turning axes and legends into a place where other plots can live.

legendry extends ggplot2's guide system, letting axes and legends be composed from primitives and keys rather than accepted as given. The most recent release added guides for user-defined keys, upset matrices, arbitrary symbol placement, freeform annotations, and side-plots attached to an axis, plus a run-length-encoded range key and subtitles on custom axes. Between feature releases the package ships small patches, several of them tracking ggplot2's own changes.

Read the full legendry trajectory →

inti vs legendry: editorial side-by-side

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.

L
legendry
INFRA · APIS
0.0

A ggplot2 extension quietly turning axes and legends into a place where other plots can live.

◆ Current state

legendry extends ggplot2's guide system, letting axes and legends be composed from primitives and keys rather than accepted as given. The most recent release added guides for user-defined keys, upset matrices, arbitrary symbol placement, freeform annotations, and side-plots attached to an axis, plus a run-length-encoded range key and subtitles on custom axes. Between feature releases the package ships small patches, several of them tracking ggplot2's own changes.

◆ Where it's heading

The direction is toward treating a guide as a rendering slot rather than a label strip. Dendrogram scales arrived in 0.2.0 with a matching axis guide; the newest release adds side-plots and upset symbol matrices to the same position. Each of these puts real graphical content where an axis used to be, and each one ships with a key function so the composition stays user-controllable. Note that this feed's order is unreliable: 0.2.1 was published eight months after 0.2.4 and minutes before 0.3.0, so neither version numbers nor timestamps indicate release order here.

◆ Prediction

The pattern of pairing each new guide with a matching key function is consistent enough that the next feature release will likely follow it again; the recurring forwards-compatibility patches also suggest another ggplot2-tracking release whenever upstream moves.

Alternatives to inti and legendry

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 inti or legendry.

See all inti alternatives → · See all legendry alternatives →

Recent activity from inti and legendry

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 agolegendryFive new guides, including side-plots and upset matrices on axes
  6. 3mo agolegendryPatch release: guide placement, sizing and gizmo key fixes
  7. 10mo agointiH2cal() takes factors as a formula; scihub() templates updated
  8. 11mo agolegendryCRAN fix for undeclared S7 imports
  9. 11mo agointiSciHub RStudio addin arrives; gdocs2qmd table export fixed
  10. 11mo agolegendryColourbar sizing fix; sandwich guides gain label suppression
  11. 1y agolegendryForwards-compatibility patch for an upcoming ggplot2 release
  12. 1y agolegendryDendrogram scales and axis guide, plus a circle size guide

Frequently asked questions

What is the difference between inti and legendry?

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 inti better than legendry?

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 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.

What are the best alternatives to legendry?

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