← Back to home
Comparison · Analytics

rphylopic vs vinereg

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

Shared themes:r-package

rphylopic vs vinereg: at a glance

Featurerphylopicvinereg
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesphylogenetics, data-visualization, r-package, ggplot2r-package, copulas, regression, conditional-density
Last editorial update7h ago1h ago
WebsiteVisit →Visit →

What is rphylopic?

The R package that puts organism silhouettes on plots keeps widening where they can be drawn.

rphylopic fetches PhyloPic silhouettes and places them into R graphics — base plots, ggplot2 layers, legends, and now phylogenetic trees and igraph networks. The 1.x line has been consistent about two things: adding a new plotting context per release, and steadily replacing its early sizing vocabulary with explicit width and height arguments. Attribution handling is unusually developed for a package this size, with permalinks and per-image credit built into the retrieval functions.

Read the full rphylopic trajectory →

What is vinereg?

Conditional density and log-likelihood fill out a vine copula regression package.

vinereg fits D-vine copula-based regression models on top of rvinecopulib and kde1d, in Thomas Nagler's package stack. The January 2025 pair - 0.10.0 and 0.11.0 tagged the same day - adds a pdf() function and then fixes conditional density computation for discrete variables while requiring the newer kde1d. Release notes run to one or two bullets each.

Read the full vinereg trajectory →

rphylopic vs vinereg: editorial side-by-side

R
rphylopic
ANALYTICS
0.0

The R package that puts organism silhouettes on plots keeps widening where they can be drawn.

◆ Current state

rphylopic fetches PhyloPic silhouettes and places them into R graphics — base plots, ggplot2 layers, legends, and now phylogenetic trees and igraph networks. The 1.x line has been consistent about two things: adding a new plotting context per release, and steadily replacing its early sizing vocabulary with explicit width and height arguments. Attribution handling is unusually developed for a package this size, with permalinks and per-image credit built into the retrieval functions.

◆ Where it's heading

Development is expanding the set of places a silhouette can appear rather than changing what the package does. Base plots came first, then ggplot2 aesthetics and legend glyphs, then trees, then network vertices via an igraph shape registered automatically when both packages load. The other running thread is defensive maintenance against upstream churn: retries on failed API calls, fixes for ggplot2 4.0.0, and now an in-memory cache so repeated calls stop hammering the PhyloPic API. The ysize and size deprecation, opened in 1.5.0, is now complete and the arguments are scheduled for removal.

◆ Prediction

The deprecated ysize and size arguments look set to be removed in the next release, and on the pattern of the last four, another plotting context is a likelier addition than a change to the retrieval layer.

V
vinereg
ANALYTICS
0.0

Conditional density and log-likelihood fill out a vine copula regression package.

◆ Current state

vinereg fits D-vine copula-based regression models on top of rvinecopulib and kde1d, in Thomas Nagler's package stack. The January 2025 pair - 0.10.0 and 0.11.0 tagged the same day - adds a pdf() function and then fixes conditional density computation for discrete variables while requiring the newer kde1d. Release notes run to one or two bullets each.

◆ Where it's heading

Work has concentrated on evaluation rather than fitting: cll() in 0.9.0, pdf() in 0.10.0, and the discrete-variable correction in 0.11.0 all concern what can be computed from a model already fitted. Releases arrive in same-day pairs, and the notes are terse enough that 0.10.0 reuses 0.9.0's wording verbatim, describing pdf() with cll()'s sentence. Version floors also track the sibling packages - kde1d here, rvinecopulib in 0.8.3.

◆ Prediction

Given the shared release rhythm across the stack, the next entry is as likely to be a dependency-driven bump as a new function; the discrete-variable path is the one area these notes show as recently unstable.

Alternatives to rphylopic and vinereg

Other Analytics 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 rphylopic or vinereg.

See all rphylopic alternatives → · See all vinereg alternatives →

Recent activity from rphylopic and vinereg

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

  1. 1mo agorphylopicSilhouettes become igraph vertices; API responses cached
  2. 8mo agorphylopicBase R phylogenies gain silhouette annotation
  3. 1y agovineregDiscrete conditional densities fixed; kde1d 1.1.0 required
  4. 1y agovineregpdf() added for conditional density
  5. 1y agorphylopicExplicit width and height replace the old sizing arguments
  6. 2y agorphylopicSilhouette legends and attribution permalinks
  7. 2y agovineregBoost compile flag and a weights error fixed
  8. 2y agorphylopicSilhouette resolution helper and safer colour defaults
  9. 2y agovineregcll() computes conditional log-likelihood
  10. 2y agorphylopicRendering dependencies bumped for grImport2 and rsvg
  11. 4y agovineregvinecopulib floor raised for RcppThread compatibility
  12. 4y agovineregcpit() fixed and external marginals allowed via uscale

Frequently asked questions

What is the difference between rphylopic and vinereg?

Both compete on the same themes — r-package — within Analytics. rphylopic and vinereg 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 rphylopic better than vinereg?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rphylopic and vinereg 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 Analytics products to evaluate alongside.

What are the best alternatives to rphylopic?

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

What are the best alternatives to vinereg?

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