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Comparison · Analytics
OHPL vs shapviz
A side-by-side editorial comparison of OHPL and shapviz — release velocity, themes, recent moves, and the top alternatives to consider.
OHPL vs shapviz: at a glance
What is OHPL?
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
OHPL implements ordered homogeneity pursuit lasso, a variable selection method for high-dimensional spectroscopic data that groups correlated predictors before applying a lasso. The functional package was complete by 1.2 in 2017, when prediction, performance evaluation and simulated data generation functions were added. Every release since has touched documentation and packaging only.
What is shapviz?
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.
OHPL vs shapviz: editorial side-by-side
OHPL
0.0ANALYTICS
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
◆ Current state
OHPL implements ordered homogeneity pursuit lasso, a variable selection method for high-dimensional spectroscopic data that groups correlated predictors before applying a lasso. The functional package was complete by 1.2 in 2017, when prediction, performance evaluation and simulated data generation functions were added. Every release since has touched documentation and packaging only.
◆ Where it's heading
This is a published-method package in the archival phase: the algorithm is fixed, the paper is cited, and the maintainer keeps it installable. The releases read as a timeline of R packaging conventions rather than of the method — tidyverse code style in 2019, roxygen2 Markdown and bibentry() in 2024, Rd HTML validation in 2026. Gaps of two to five years between releases are normal here.
◆ Prediction
Expect the next release whenever CRAN introduces another documentation or packaging check; there is no indication the method itself will be extended.
shapviz
0.0ANALYTICS
shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
Expect share_y = TRUE to become the default and further ggplot2 4.x fallout, with connector updates arriving as the upstream SHAP packages release.
Alternatives to OHPL and shapviz
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 OHPL or shapviz.
cheapr
cheapr turned multi-threaded, and its next stop is a C++20 public API.
RadialMR
RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.
mrbayes
mrbayes spent 2026 auditing its own Bayesian MR estimators for coding errors.
lineup2
lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.
stringi
stringi has spent two years on build hardening since its Unicode 15.1 reset.
See all OHPL alternatives → · See all shapviz alternatives →
Recent activity from OHPL and shapviz
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agoOHPLRd documentation HTML validation fixed
- 10mo agoshapvizggplot 4.0 compatibility fix
- 1y agoshapvizFixes duplicated bars in sv_interaction()
- 1y agoshapvizggplot2 and patchwork dependency bumps
- 1y agoshapvizShared y-axis control and bar-style interaction plots
- 1y agoshapvizH2O random forests gain TreeSHAP support
- 1y agoshapvizFixes a broken vignette link
- 2y agoOHPLDocumentation modernized to current R conventions
- 7y agoOHPLCode restyled and repository links updated
- 9y agoOHPLCitation information and documentation site updated
- 9y agoOHPLPrediction and evaluation functions complete the package
Frequently asked questions
What is the difference between OHPL and shapviz?
They serve adjacent needs but don't currently overlap on shipped themes. OHPL 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.
Is OHPL better than shapviz?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. OHPL 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.
What are the best alternatives to OHPL?
Top OHPL alternatives in Analytics are ranked by recent ship velocity. Browse the "OHPL alternatives" section above for the current picks, or visit /alternatives/ohpl for the full list with editorial commentary on each.
What are the best alternatives to shapviz?
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.