TidyDensity
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
A side-by-side editorial comparison of crossmap and gdverse — release velocity, themes, recent moves, and the top alternatives to consider.
crossmap's roadmap is set by purrr and furrr — it deprecates what upstream deprecates.
A small package for mapping over combinations of arguments, following purrr and furrr conventions. Its own functional additions stopped after xpluck() in 2023 and the cross_fit() clustering work in 2022. Everything since tracks upstream: xmap_raw() and future_xmap_raw() are now defunct because purrr removed map_raw() and furrr removed future_pmap_raw(), and re-exported parallel helpers now come from parallelly rather than future.
gdverse is turning geographical detector methods into inference, not just point estimates.
A geographical detector toolkit for spatial stratified heterogeneity, shipping small numbered releases every few months. Recent work centres on statistical rigour: confidence intervals for the q-statistic (experimental in 1.3-2, made more robust in 1.6), reported significance for interaction detection, and a fix for stratification collision in that same interaction path. The rest is Python-interop maintenance — reticulate compatibility, parallel stability in cpd_disc, and dependency configuration.
A small package for mapping over combinations of arguments, following purrr and furrr conventions. Its own functional additions stopped after xpluck() in 2023 and the cross_fit() clustering work in 2022. Everything since tracks upstream: xmap_raw() and future_xmap_raw() are now defunct because purrr removed map_raw() and furrr removed future_pmap_raw(), and re-exported parallel helpers now come from parallelly rather than future.
The package has settled into being a compatible extension rather than an independent one — its release notes read as a mirror of purrr's and furrr's deprecation schedules. Note that the release stamps are unreliable here: several versions were backfilled minutes apart and the 0.3.x tags carry timestamps in reverse version order, so feed position says nothing about what shipped when.
Expect the next release to be driven by another purrr or furrr change rather than new functionality, since that has been the sole trigger for the last four.
A geographical detector toolkit for spatial stratified heterogeneity, shipping small numbered releases every few months. Recent work centres on statistical rigour: confidence intervals for the q-statistic (experimental in 1.3-2, made more robust in 1.6), reported significance for interaction detection, and a fix for stratification collision in that same interaction path. The rest is Python-interop maintenance — reticulate compatibility, parallel stability in cpd_disc, and dependency configuration.
The arc is from computing detector statistics to qualifying them. Confidence intervals, significance reporting and non-centrality parameter estimation are all about telling users how much to trust a q-value, which is the gap between a research script and a package other people cite. The Python-dependency work is the recurring tax on that: several releases exist mainly to keep reticulate-backed models passing checks.
Expect the experimental q-statistic confidence intervals to be promoted to a stable, documented interface across the detector family, since the last two releases have both worked on their robustness and reporting.
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 crossmap or gdverse.
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
College football's open data client hit v2 — and now reports how many API calls you have left.
The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.
GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
A spatial-statistics utility package exists to be depended on, and is built accordingly.
See all crossmap alternatives → · See all gdverse alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r package — within Analytics. crossmap and gdverse 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. crossmap and gdverse 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 crossmap alternatives in Analytics are ranked by recent ship velocity. Browse the "crossmap alternatives" section above for the current picks, or visit /alternatives/crossmap for the full list with editorial commentary on each.
Top gdverse alternatives in Analytics are ranked by recent ship velocity. Browse the "gdverse alternatives" section above for the current picks, or visit /alternatives/gdverse for the full list with editorial commentary on each.