fillpattern
Pattern fills for ggplot2, hardened against the ways users write sizes
A side-by-side editorial comparison of rphylopic and tall — release velocity, themes, recent moves, and the top alternatives to consider.
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.
A Shiny text-mining GUI grows into a full NLP workbench at 1.0.0
tall is a graphical text-analysis environment that wraps a dependency-parsing NLP pipeline in a Shiny interface, aimed at researchers who want corpus analysis without writing R. The 1.0.0 release consolidates a year of module additions into a broad analysis surface: SVO triplet extraction, document-level syntactic complexity, NRC-lexicon emotion analysis, noun-phrase extraction and correlated/structural topic models. Performance-sensitive paths are pushed into C++ backends rather than R.
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.
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.
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.
tall is a graphical text-analysis environment that wraps a dependency-parsing NLP pipeline in a Shiny interface, aimed at researchers who want corpus analysis without writing R. The 1.0.0 release consolidates a year of module additions into a broad analysis surface: SVO triplet extraction, document-level syntactic complexity, NRC-lexicon emotion analysis, noun-phrase extraction and correlated/structural topic models. Performance-sensitive paths are pushed into C++ backends rather than R.
The arc is consistent: each release bolts another named analysis method onto the Documents section, each with its own Run/Export/Report UI, and moves the hot loop into C++. The second thread is the embedded Gemini assistant, introduced in 0.3.0 and by 1.0.0 wired into every switch point of the new modules. Reporting plumbing — Add to Report, image and Excel export — has been retrofitted across older modules to match.
Expect the next releases to continue the pattern of adding one or two named analysis methods with matching export and AI hooks, and to extend the C++ rewrite to modules that have not yet been converted.
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 tall.
Pattern fills for ggplot2, hardened against the ways users write sizes
gcube's recent releases are all packaging metadata, not simulation code
The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling
ggstats keeps widening what a coefficient or Likert plot can be
ecodive rebuilt itself into a broad diversity-metric library, breaking as it went
State-space data simulation for R, filled in one function at a time
See all rphylopic alternatives → · See all tall alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. rphylopic and tall 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rphylopic and tall 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.
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.
Top tall alternatives in Analytics are ranked by recent ship velocity. Browse the "tall alternatives" section above for the current picks, or visit /alternatives/tall for the full list with editorial commentary on each.