tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of spatsoc and webmockr — release velocity, themes, recent moves, and the top alternatives to consider.
One maintainer, one or two new collective-motion metrics per release, for two years straight
spatsoc turns animal relocation data into spatial and social groupings — dyads, fission-fusion events, group centroids — and the recent history is a metronomic accretion of collective-motion measures on top of that base. Since late 2024 nearly every release has added one or two: polarization, direction to leader, position along the group axis, directional correlation delay, edge alignment, edge zones. Development is essentially single-handed; almost every merged PR in this window carries the same author.
The stubbing library added httr2 support, then spent a year cutting itself free of everything else
webmockr intercepts HTTP requests in R tests and returns stubbed responses, and since 1.0.0 it covers all three clients that matter — httr, httr2 and crul. The releases through 2025 have been about shedding dependencies: internal R6 classes unexported in 2.1.0, crul demoted from Imports to Suggests in the same release, and the mutual dependency with vcr severed in 2.2.0. The package now installs and runs without pulling in the rest of the rOpenSci HTTP stack.
spatsoc turns animal relocation data into spatial and social groupings — dyads, fission-fusion events, group centroids — and the recent history is a metronomic accretion of collective-motion measures on top of that base. Since late 2024 nearly every release has added one or two: polarization, direction to leader, position along the group axis, directional correlation delay, edge alignment, edge zones. Development is essentially single-handed; almost every merged PR in this window carries the same author.
The December 2025 release changes register. Alongside three new calc_distance / calc_direction / calc_centroid functions and an internal assertion family, it deprecates the `projection` argument in favour of `crs` and lands a round of checks and tests explicitly staged ahead of a new spatial interface. Read together, that is a package finishing its metric catalogue and starting to rework the coordinate-handling layer underneath it to match modern R-spatial conventions — the same evolution that made it drop its startup warning back in 0.2.7.
The next release is likely the spatial-interface rework the 0.2.12 test and assertion work was staged for, with `projection` moving from deprecated to removed. Feature additions should slow while that lands.
webmockr intercepts HTTP requests in R tests and returns stubbed responses, and since 1.0.0 it covers all three clients that matter — httr, httr2 and crul. The releases through 2025 have been about shedding dependencies: internal R6 classes unexported in 2.1.0, crul demoted from Imports to Suggests in the same release, and the mutual dependency with vcr severed in 2.2.0. The package now installs and runs without pulling in the rest of the rOpenSci HTTP stack.
Two arcs run in sequence. The first is coverage — multiple queued responses in 0.7.0, basic auth mocking, async through crul, then httr2 — building out what can be stubbed. The second, starting with 2.0.0, is correctness and independence: stubs are now deleted if an error occurs mid-construction rather than lingering half-built, partial matching arrives for bodies and queries, and the dependency graph is pruned release by release. The 2.2.0 split from vcr landed within a minute of crul's release taking mocking control into its own clients.
RequestPattern is documented as still exported in 2.1.0 but slated for removal, so the next major release is where that lands. Expect continued dependency pruning rather than new client support — the three clients that exist are already covered.
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 spatsoc or webmockr.
A tables-listings-graphs package that reached CRAN and then went quiet.
Tplyr made clinical summary tables explain where every number came from.
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all spatsoc alternatives → · See all webmockr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — ropensci — within Analytics. spatsoc and webmockr 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. spatsoc and webmockr 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 spatsoc alternatives in Analytics are ranked by recent ship velocity. Browse the "spatsoc alternatives" section above for the current picks, or visit /alternatives/spatsoc for the full list with editorial commentary on each.
Top webmockr alternatives in Analytics are ranked by recent ship velocity. Browse the "webmockr alternatives" section above for the current picks, or visit /alternatives/webmockr for the full list with editorial commentary on each.