TidyDensity
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
A side-by-side editorial comparison of benviplot and dissmapr — release velocity, themes, recent moves, and the top alternatives to consider.
A Brazilian housing-data palette package went from internal tooling to public 1.0 in five days.
benviplot supplies color palettes, ggplot2 scales, themes and plot helpers for charts in a consistent house style, oriented around Brazilian urban and rental-market data. The entire public history is compressed into early October 2025: a six-phase release plan took it from removing proprietary data through modernization, testing, vignettes, documentation and CI to a stable 1.0.0. The shipped package carries 36 curated palettes, discrete and continuous scale functions, and a rental price index dataset covering six Brazilian cities.
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.
benviplot supplies color palettes, ggplot2 scales, themes and plot helpers for charts in a consistent house style, oriented around Brazilian urban and rental-market data. The entire public history is compressed into early October 2025: a six-phase release plan took it from removing proprietary data through modernization, testing, vignettes, documentation and CI to a stable 1.0.0. The shipped package carries 36 curated palettes, discrete and continuous scale functions, and a rental price index dataset covering six Brazilian cities.
This is an internal tool being packaged for public consumption rather than a product evolving in the open — the phases were about legal separation, test coverage and check compliance, not new capability. Removing the sensitive QuintoAndar dataset and adding a disclaimer establishing independence was phase one, which frames the whole exercise. The one substantive addition along the way was the IQAIW rental index, built from a public source to replace what was removed.
With the release plan completed and the package stable, the most likely next work is periodic refreshes of the rental index dataset, which is published on an ongoing basis from 2023 onward. The entries give no indication of planned new palettes or plot functions.
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.
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.
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.
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 benviplot or dissmapr.
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
College football's open data client hit v2 — and now reports how many API calls you have left.
The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.
GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
A spatial-statistics utility package exists to be depended on, and is built accordingly.
See all benviplot alternatives → · See all dissmapr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. benviplot and dissmapr 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. benviplot and dissmapr 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 benviplot alternatives in Analytics are ranked by recent ship velocity. Browse the "benviplot alternatives" section above for the current picks, or visit /alternatives/benviplot for the full list with editorial commentary on each.
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.