STACAS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
A side-by-side editorial comparison of benviplot and rempsyc — 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.
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.
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.
rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.
Two forces drive this package and neither is its own roadmap. The first is APA style: when the 7th edition advised against beta for standardized coefficients, the package switched its output to italic b with an asterisk. The second is the surrounding ecosystem — formatting is aligned to what lavaanExtra and afex produce, contrast handling was delegated to easystats' modelbased, and Excel correlation matrix export was handed entirely to the correlation package to cut maintenance.
The pattern of delegating functionality to specialist packages while keeping the formatting layer is well established and likely continues. Because releases bundle many small dev versions, the next one will probably again mix plotting refinements with fixes surfaced by upstream changes.
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 rempsyc.
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
See all benviplot alternatives → · See all rempsyc alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — ggplot2, r-package — within Analytics. benviplot and rempsyc 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 rempsyc 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 rempsyc alternatives in Analytics are ranked by recent ship velocity. Browse the "rempsyc alternatives" section above for the current picks, or visit /alternatives/rempsyc for the full list with editorial commentary on each.