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dissmapr vs rphylopic

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

dissmapr vs rphylopic: at a glance

Featuredissmaprrphylopic
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbiodiversity, dissimilarity, bioregions, research softwarephylogenetics, data-visualization, r-package, ggplot2
Last editorial update2h ago43m ago
WebsiteVisit →Visit →

What is dissmapr?

dissmapr spent its first releases becoming citable rather than adding methods.

dissmapr provides an R workflow for compositional dissimilarity and turnover — occurrence data through spatial gridding and environmental linkage to order-wise dissimilarity and bioregional mapping. All three releases to date are infrastructure: a first citable archive in June 2026, then a maturity release aligning the package with the B-Cubed software development guide. The ten-function pipeline described in the notes has not changed across them.

Read the full dissmapr trajectory →

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 →

dissmapr vs rphylopic: editorial side-by-side

D
dissmapr
ANALYTICS
0.0

dissmapr spent its first releases becoming citable rather than adding methods.

◆ Current state

dissmapr provides an R workflow for compositional dissimilarity and turnover — occurrence data through spatial gridding and environmental linkage to order-wise dissimilarity and bioregional mapping. All three releases to date are infrastructure: a first citable archive in June 2026, then a maturity release aligning the package with the B-Cubed software development guide. The ten-function pipeline described in the notes has not changed across them.

◆ Where it's heading

The work is compliance-shaped rather than method-shaped: explicit @importFrom in place of whole-namespace imports, library() calls removed from package code, roughly 11 MB of development caches dropped, a runnable README quick-start, and Zenodo archival with CITATION.cff and codemeta.json. dissmapr moves in lockstep with its B-Cubed sibling invasimapr — both tagged 0.1.0 within three minutes of each other and 0.2.0 on the same day — so releases here reflect project-wide standards deadlines more than package-specific work. The stated roadmap of additional ecological distance metrics has not yet landed.

◆ Prediction

With standards work now signed off and R CMD check clean, the next release is the first real chance for the roadmap items — additional ecological distance metrics — to arrive.

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.

Alternatives to dissmapr and rphylopic

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 dissmapr or rphylopic.

See all dissmapr alternatives → · See all rphylopic alternatives →

Recent activity from dissmapr and rphylopic

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

  1. 1mo agodissmaprVersion bump; notes identical to 0.2.0
  2. 1mo agorphylopicSilhouettes become igraph vertices; API responses cached
  3. 1mo agodissmaprB-Cubed standards alignment, docs overhaul and a citable DOI
  4. 1mo agodissmaprdissmapr v0.1.0: First citable release
  5. 8mo agorphylopicBase R phylogenies gain silhouette annotation
  6. 1y agorphylopicExplicit width and height replace the old sizing arguments
  7. 2y agorphylopicSilhouette legends and attribution permalinks
  8. 2y agorphylopicSilhouette resolution helper and safer colour defaults
  9. 2y agorphylopicRendering dependencies bumped for grImport2 and rsvg

Frequently asked questions

What is the difference between dissmapr and rphylopic?

They serve adjacent needs but don't currently overlap on shipped themes. dissmapr and rphylopic 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 dissmapr better than rphylopic?

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

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

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.