parallelDist
parallelDist is in pure preservation mode — one build fix every few years.
A side-by-side editorial comparison of GDPuc and stockplotr — release velocity, themes, recent moves, and the top alternatives to consider.
A GDP unit converter that keeps widening which currencies and deflators it will accept
GDPuc converts GDP figures between currencies, base years and price bases, using World Bank conversion factors, and is used as a dependency inside the madrat/magclass modelling stack. The 1.6.x line introduced xCU as a unit — local currency of any country x — added arguments for non-default iso3c and year columns, and made the package work with madrat caching and region mappings. The most recent release fixes a bug in iso3c column selection.
A stock-assessment plotting package is growing a table engine to match its figures.
stockplotr generates the figures and, since 0.8.0-beta, the tables that go into NOAA fisheries stock assessment reports. The 0.8.0 release swapped the table backend from flextable to gt and shipped table_landings() as the first table function; 0.9.0 exported it with an interface deliberately mirroring the plot functions. Alongside that, convert_output() moved in from the sister package asar so model output is standardized here rather than upstream.
GDPuc converts GDP figures between currencies, base years and price bases, using World Bank conversion factors, and is used as a dependency inside the madrat/magclass modelling stack. The 1.6.x line introduced xCU as a unit — local currency of any country x — added arguments for non-default iso3c and year columns, and made the package work with madrat caching and region mappings. The most recent release fixes a bug in iso3c column selection.
The direction is toward accepting messier inputs from more callers. Successive releases have relaxed assumptions the package originally made — that a year column exists, that column names follow a convention, that PPP data is available for every country — and each relaxation is driven by an integration rather than by an economics question. The one genuinely methodological addition is the CPI as an alternative deflator, which arrived in 1.0.0.
Conversion factors are versioned World Bank data and were last refreshed in 1.0.0, so a data update is the most likely content of the next substantive release, alongside continued fixes to the column-detection logic that has now produced bugs twice.
stockplotr generates the figures and, since 0.8.0-beta, the tables that go into NOAA fisheries stock assessment reports. The 0.8.0 release swapped the table backend from flextable to gt and shipped table_landings() as the first table function; 0.9.0 exported it with an interface deliberately mirroring the plot functions. Alongside that, convert_output() moved in from the sister package asar so model output is standardized here rather than upstream.
The package is consolidating the whole report-artifact pipeline in one place: standardize model output, then emit both figures and tables from the same long-format frame. Pulling convert_output() out of asar because stockplotr depended on it more heavily is the clearest signal of where the center of gravity now sits. Everything is still tagged beta, and the plot function count is growing faster than the table one.
More table_* functions built on the gt foundation are the obvious next step, matching the existing plot_* set; the 0.9.0 notes describe table_landings() as the first of a revamped family rather than a one-off.
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 GDPuc or stockplotr.
parallelDist is in pure preservation mode — one build fix every few years.
Cairo finally catches R's graphics engine, all the way to GE API 16.
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release
See all GDPuc alternatives → · See all stockplotr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. GDPuc and stockplotr 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. GDPuc and stockplotr 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 GDPuc alternatives in Analytics are ranked by recent ship velocity. Browse the "GDPuc alternatives" section above for the current picks, or visit /alternatives/gdpuc-r for the full list with editorial commentary on each.
Top stockplotr alternatives in Analytics are ranked by recent ship velocity. Browse the "stockplotr alternatives" section above for the current picks, or visit /alternatives/stockplotr-r for the full list with editorial commentary on each.