constants
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
A side-by-side editorial comparison of qqman and stockplotr — release velocity, themes, recent moves, and the top alternatives to consider.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
qqman does two things: manhattan() and qq() plots for genome-wide association study results. Its six visible releases run from 2014 to a single 2017 packaging fix, and the last release with any user-facing change shipped in 2015. The archive is non-monotonic — a 0.0.0 tag published after 0.1.1 archives the pre-package standalone script — so version order and publication order disagree.
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.
qqman does two things: manhattan() and qq() plots for genome-wide association study results. Its six visible releases run from 2014 to a single 2017 packaging fix, and the last release with any user-facing change shipped in 2015. The archive is non-monotonic — a 0.0.0 tag published after 0.1.1 archives the pre-package standalone script — so version order and publication order disagree.
The real development window was 2014 to 2015. The 0.1.2 release did the substantive work, replacing the assumption that SNPs are evenly distributed across chromosomes and handing users control of axis limits, labels and log transformation; 0.1.3 then added annotation by p-value threshold and top-SNP-per-chromosome. After that the package stops. Notably, the archival 0.0.0 entry records that the original script had confidence intervals on QQ plots and richer highlighting than the released package ever regained.
With one packaging fix in the last decade, these entries support no prediction of further releases. The package reads as complete for its narrow purpose rather than abandoned mid-arc.
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 qqman or stockplotr.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all qqman 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. qqman 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. qqman 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 qqman alternatives in Analytics are ranked by recent ship velocity. Browse the "qqman alternatives" section above for the current picks, or visit /alternatives/qqman-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.