tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
A side-by-side editorial comparison of protr and shapviz — release velocity, themes, recent moves, and the top alternatives to consider.
protr's feature set is finished; the work now is surviving Bioconductor's churn.
protr generates numerical descriptors from protein sequences for machine learning, plus alignment-based similarity between sequences. The descriptor functions have been stable for years. Recent releases divide cleanly into two kinds: extending the similarity computations to work under memory constraints, and absorbing the Bioconductor split that moved pairwise alignment out of Biostrings into pwalign.
shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.
shapviz turns SHAP values from XGBoost, LightGBM, H2O, kernelshap and other sources into standard diagnostic plots — importance, dependence, waterfall, force and interaction. Recent work is plot ergonomics: shared y-axis control across dependence plots, a bar view for interaction values, and axis collection via patchwork. The two most recent releases are pure compatibility and bug fixes.
protr generates numerical descriptors from protein sequences for machine learning, plus alignment-based similarity between sequences. The descriptor functions have been stable for years. Recent releases divide cleanly into two kinds: extending the similarity computations to work under memory constraints, and absorbing the Bioconductor split that moved pairwise alignment out of Biostrings into pwalign.
The similarity side is where the remaining engineering goes, and it follows a consistent pattern — whatever parSeqSim() gained, crossSetSim() eventually gets. Batching, verbose progress and a disk-backed variant all arrived for the single-set case first and were mirrored for the cross-set case in 1.7-1. That is a maintainer closing feature-parity gaps rather than opening new directions, and the two most recent releases contain no user-facing change at all.
Expect the next release to react to another Bioconductor or R CMD check change, which accounts for three of the last four. The similarity functions now have parity, so there is no obvious internal backlog left.
shapviz turns SHAP values from XGBoost, LightGBM, H2O, kernelshap and other sources into standard diagnostic plots — importance, dependence, waterfall, force and interaction. Recent work is plot ergonomics: shared y-axis control across dependence plots, a bar view for interaction values, and axis collection via patchwork. The two most recent releases are pure compatibility and bug fixes.
Two threads run in parallel here. One is visual refinement converging on conventions from Python's shap — the 0.10.0 notes openly float switching share_y to TRUE to match it. The other is connector maintenance, keeping pace with H2O, XGBoost 1.x and 2.x, shapr and permshap as each changes. Neither thread adds new explanation methods; shapviz's job is presentation, and it is being polished rather than extended.
Expect share_y = TRUE to become the default and further ggplot2 4.x fallout, with connector updates arriving as the upstream SHAP packages release.
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 protr or shapviz.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
A single-purpose ggplot2 inset tool, refining the same three arguments.
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools stopped guarding its own object model and started accepting everyone else's.
The glue package that makes R carry units and uncertainty through the same calculation.
See all protr alternatives → · See all shapviz alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. protr and shapviz 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. protr and shapviz 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 protr alternatives in Analytics are ranked by recent ship velocity. Browse the "protr alternatives" section above for the current picks, or visit /alternatives/protr-r for the full list with editorial commentary on each.
Top shapviz alternatives in Analytics are ranked by recent ship velocity. Browse the "shapviz alternatives" section above for the current picks, or visit /alternatives/shapviz for the full list with editorial commentary on each.