parallelDist
parallelDist is in pure preservation mode — one build fix every few years.
A side-by-side editorial comparison of pecan and stockplotr — release velocity, themes, recent moves, and the top alternatives to consider.
PEcAn v1.10 makes land-management events a first-class input and parallelises the whole SDA workflow
PEcAn is a workflow framework for ecosystem modelling — it standardises meteorological and initial-condition inputs, drives a set of coupled process models such as SIPNET, ED2, BioCro and LDNDC, and runs uncertainty analysis and state data assimilation over the results. Version 1.10.0 adds an events schema with validation and a SIPNET writer, so disturbance and management events can be declared in JSON and turned into model input, and runs the entire SDA workflow in parallel. It also adds CH4 and N2O to the standard variable table and an AmeriFlux meteorological ensemble path with ERA5 fallback.
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.
PEcAn is a workflow framework for ecosystem modelling — it standardises meteorological and initial-condition inputs, drives a set of coupled process models such as SIPNET, ED2, BioCro and LDNDC, and runs uncertainty analysis and state data assimilation over the results. Version 1.10.0 adds an events schema with validation and a SIPNET writer, so disturbance and management events can be declared in JSON and turned into model input, and runs the entire SDA workflow in parallel. It also adds CH4 and N2O to the standard variable table and an AmeriFlux meteorological ensemble path with ERA5 fallback.
Two directions are visible. The framework keeps widening what it can represent — more standard variables, more carbon pools in BADM-based initial conditions, more coupled models — and it keeps industrialising the parts that used to be manual, from automated package documentation to qsub job-array expansion to parallel assimilation. The events schema is the first of these that gives users a declarative input format rather than a function to call, which is a different kind of extension than adding another model coupling.
The events schema currently has one model writer, for SIPNET, so the obvious next step is writers for the other coupled models — otherwise the format only benefits a single backend of the several PEcAn drives.
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 pecan 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 pecan 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. pecan 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. pecan 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 pecan alternatives in Analytics are ranked by recent ship velocity. Browse the "pecan alternatives" section above for the current picks, or visit /alternatives/pecan-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.