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rphylopic vs tEDM

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

Shared themes:r-package

rphylopic vs tEDM: at a glance

FeaturerphylopictEDM
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesphylogenetics, data-visualization, r-package, ggplot2causal-inference, time-series, empirical-dynamic-modeling, r-package
Last editorial update2h ago40m 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 tEDM?

The temporal half of the stscl EDM pair, tracking its spatial sibling

tEDM applies empirical dynamic modeling to time series — cross mapping, convergent cross mapping and the logistic map — as the temporal counterpart to spEDM, with which it shares a maintainer and a C++ core. The recent releases are consolidation rather than expansion: index handling in cross mapping corrected, generics taught to accept varying E, k and tau, and the associated paper now cited in the README. Only three releases are visible in the feed.

Read the full tEDM trajectory →

rphylopic vs tEDM: 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.

T
tEDM
ANALYTICS
0.0

The temporal half of the stscl EDM pair, tracking its spatial sibling

◆ Current state

tEDM applies empirical dynamic modeling to time series — cross mapping, convergent cross mapping and the logistic map — as the temporal counterpart to spEDM, with which it shares a maintainer and a C++ core. The recent releases are consolidation rather than expansion: index handling in cross mapping corrected, generics taught to accept varying E, k and tau, and the associated paper now cited in the README. Only three releases are visible in the feed.

◆ Where it's heading

tEDM moves in lockstep with spEDM. Configurable distance metrics, varying E/k/tau inputs, strict floating-point comparison and the S3 plotting font unification all appear in both packages within days or weeks, as does the maintainer surname correction. The recent balance has tilted toward correcting library and prediction index handling — the kind of repeated attention that suggests the indexing model was the weak point of the shared core.

◆ Prediction

Expect tEDM to keep inheriting the shared-core changes spEDM lands, with its own releases staying small and centred on cross-mapping parameter handling rather than new method surface.

Alternatives to rphylopic and tEDM

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 tEDM.

See all rphylopic alternatives → · See all tEDM alternatives →

Recent activity from rphylopic and tEDM

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

  1. 1mo agorphylopicSilhouettes become igraph vertices; API responses cached
  2. 4mo agotEDMMaintainer name corrected, published paper cited
  3. 7mo agotEDMCross-mapping index handling corrected, generics accept varying E, k, tau
  4. 8mo agorphylopicBase R phylogenies gain silhouette annotation
  5. 11mo agotEDMConfigurable distance metrics for cross mapping
  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 rphylopic and tEDM?

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

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

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