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 inbospatial and qqman — release velocity, themes, recent moves, and the top alternatives to consider.
A thin R wrapper over Flemish geospatial services, adding one standard at a time
inbospatial gives R users direct access to Flemish and Belgian government spatial services without hand-writing request URLs. Three releases over three years have built it up service by service: WMS and WMTS tile shorthands and projection-distortion utilities first, then the Flanders digital elevation model, and now OGC API Features querying plus layer discovery for WCS services. Much of each release is hardening the MHT-file parsing that these services return.
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.
inbospatial gives R users direct access to Flemish and Belgian government spatial services without hand-writing request URLs. Three releases over three years have built it up service by service: WMS and WMTS tile shorthands and projection-distortion utilities first, then the Flanders digital elevation model, and now OGC API Features querying plus layer discovery for WCS services. Much of each release is hardening the MHT-file parsing that these services return.
The package grows by absorbing one more service standard per release rather than by adding abstraction. The 0.1.0 additions point the same way — get_feature_ogc() covers a newer OGC standard alongside the existing WCS and WFS paths, and get_wcs_layers() addresses the practical problem that you cannot query a coverage without first knowing what layers exist. Release cadence is slow and driven by which service the maintainers needed next.
Expect the next release to add another regional service endpoint or extend OGC API Features coverage, on a timescale of a year or more given the gaps between the three releases so far.
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.
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 inbospatial or qqman.
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 inbospatial alternatives → · See all qqman alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. inbospatial and qqman 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. inbospatial and qqman 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 inbospatial alternatives in Analytics are ranked by recent ship velocity. Browse the "inbospatial alternatives" section above for the current picks, or visit /alternatives/inbospatial for the full list with editorial commentary on each.
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.