bittermelon
bittermelon is growing from binary bitmaps toward greyscale and color glyphs
A side-by-side editorial comparison of hstats and rjd3highfreq — release velocity, themes, recent moves, and the top alternatives to consider.
hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.
hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
An R wrapper around JDemetra+ routines for seasonal adjustment of high-frequency time series, built on fractional airline decomposition. Only three releases are on record, roughly one every six months, and two of them describe nothing beyond updated .jar files. The package is a thin binding whose substance lives in the Java libraries it packages, and the release notes reflect that literally.
hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.
The structural work — the hstats_matrix object, quantile approximation, revised plotting — landed in 1.0.0 just outside this window, and nothing since has changed the package's shape. What continues is model-coverage plumbing: mlr3 classification modes, ranger survival behind a survival argument, and factor predictions added in 1.1.0 then removed again in 1.2.0. The most recent releases are compatibility-driven, tracking ggplot2 rather than the interaction statistics.
Expect the next release to be another dependency-compatibility pass or a new model backend working out of the box, rather than new interaction statistics.
An R wrapper around JDemetra+ routines for seasonal adjustment of high-frequency time series, built on fractional airline decomposition. Only three releases are on record, roughly one every six months, and two of them describe nothing beyond updated .jar files. The package is a thin binding whose substance lives in the Java libraries it packages, and the release notes reflect that literally.
The one release with detail points at where the work actually is: 2.4.1 exposes eps and deps parameters on fractionalAirlineDecomposition(), controlling the optimisation routine's convergence precision and the step size for its numerical derivatives. That is tuning access for users whose series were not converging well under the defaults, and it is the only user-facing surface change visible here. The earlier entry even appears under a different package name, rjd3xhighfreq, which suggests some instability in how this line is published.
Expect further releases tracking JDemetra+ .jar versions, with R-level parameters exposed only as specific estimation problems surface; the entries do not support a firmer read than that.
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 hstats or rjd3highfreq.
bittermelon is growing from binary bitmaps toward greyscale and color glyphs
epiworldR is a thin R shell whose releases track the C++ simulator underneath it
A groundwater database client that has started doing the domain analysis too
A thin R wrapper over Flemish geospatial services, adding one standard at a time
Fluent Bit keeps two lines alive while the 5.x branch quietly opens 5.1.
OpenCTI is rebuilding its connector layer into a marketplace and wiring the platform to XTM Hub
See all hstats alternatives → · See all rjd3highfreq alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. hstats and rjd3highfreq 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. hstats and rjd3highfreq 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 hstats alternatives in Analytics are ranked by recent ship velocity. Browse the "hstats alternatives" section above for the current picks, or visit /alternatives/hstats for the full list with editorial commentary on each.
Top rjd3highfreq alternatives in Analytics are ranked by recent ship velocity. Browse the "rjd3highfreq alternatives" section above for the current picks, or visit /alternatives/rjd3highfreq for the full list with editorial commentary on each.