STACAS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
A side-by-side editorial comparison of rempsyc and TLF-Library — release velocity, themes, recent moves, and the top alternatives to consider.
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.
The Open Systems Pharmacology plotting layer spent 2025 absorbing a ggplot2 major break.
tlf is the plotting library behind Open Systems Pharmacology's tables, listings and figures — a ggplot2 wrapper producing the PK/PD reporting output the OSP suite generates. Recent work splits into two strands: a feature set adding Lower Limit Of Quantification annotation to time-profile and observed-vs-predicted plots alongside a reworked axis-limits API, and then hot fixes to survive ggplot2 v4.0.0's breaking changes. The axis change is the substantive one, separating cropping the view from filtering the data behind it.
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.
tlf is the plotting library behind Open Systems Pharmacology's tables, listings and figures — a ggplot2 wrapper producing the PK/PD reporting output the OSP suite generates. Recent work splits into two strands: a feature set adding Lower Limit Of Quantification annotation to time-profile and observed-vs-predicted plots alongside a reworked axis-limits API, and then hot fixes to survive ggplot2 v4.0.0's breaking changes. The axis change is the substantive one, separating cropping the view from filtering the data behind it.
The library is maturing into a stable reporting dependency rather than growing new plot types — the newest releases are watermark placement, log-tick safety and upstream compatibility, not new figures. Its exposure is to ggplot2: v4.0.0 required same-day hot fixes, which is the risk profile of a wrapper this thin. Note that this feed's version numbers and publication stamps disagree, with 1.5.170 stamped four months before the lower-numbered 1.5.158, so the release order has to be read from version numbers and the changelog ranges rather than from the feed order.
With the ggplot2 v4 fallout patched and the LLOQ work promoted to a stable 1.6 line, the next releases most likely continue as small rendering fixes. Nothing in these entries points to a new plot class in progress.
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 rempsyc or TLF-Library.
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 rempsyc alternatives → · See all TLF-Library alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — ggplot2 — within Analytics. rempsyc and TLF-Library 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. rempsyc and TLF-Library 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 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.
Top TLF-Library alternatives in Analytics are ranked by recent ship velocity. Browse the "TLF-Library alternatives" section above for the current picks, or visit /alternatives/tlf-library for the full list with editorial commentary on each.