rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
A side-by-side editorial comparison of Displayr and rstanarm — release velocity, themes, recent moves, and the top alternatives to consider.
Chat is being made legible while the survey-analysis core picks up the fundamentals it lacked.
Displayr is shipping on two fronts at a steady, unhurried cadence. The AI assistant is being made auditable rather than more capable — a context pill showing exactly what a prompt will send, a change summary listing every item Chat added, edited or deleted, and an Explain This button that routes errors and warnings into Chat with context attached. Separately the document core is filling in fundamentals: controls that stay synced across pages and page masters, rolling averages computed on date-keyed tables, browser-style back and forward navigation, and templates that can be saved as folder-scoped defaults.
rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
2.32.2 is entirely infrastructure and dependency work: formula machinery migrated from lme4 to reformulas, `r_eff` no longer computed for loo by default, the Stan R packages repo replaced by R-Universe, rstantools adopted to fix build and export errors, and CRAN NOTE cleanups — contributed largely by four first-time contributors. 2.32.1 and 2.26.1 follow the same pattern, tracking rstan syntax and adding `posterior::as_draws()` support. The last release with substantive modelling content is 2.21.1, which changed how default priors are determined and flipped `autoscale` to FALSE outside default priors.
Displayr is shipping on two fronts at a steady, unhurried cadence. The AI assistant is being made auditable rather than more capable — a context pill showing exactly what a prompt will send, a change summary listing every item Chat added, edited or deleted, and an Explain This button that routes errors and warnings into Chat with context attached. Separately the document core is filling in fundamentals: controls that stay synced across pages and page masters, rolling averages computed on date-keyed tables, browser-style back and forward navigation, and templates that can be saved as folder-scoped defaults.
The Chat work reads as a deliberate answer to the trust problem with AI in analyst tools — every release makes what the assistant touched inspectable rather than expanding what it can do unprompted. The other track is closing gaps a long-standing survey analysis platform accumulates, with the default-template mechanic notable for scoping defaults by Cloud Drive folder, which turns a personal preference into an organizational standard. Neither track has produced a directional move in this window.
Expect the transparency pattern to extend to Chat actions that modify data rather than layout, since the change summary establishes the mechanism. Folder-scoped defaults look like the start of broader template governance.
2.32.2 is entirely infrastructure and dependency work: formula machinery migrated from lme4 to reformulas, `r_eff` no longer computed for loo by default, the Stan R packages repo replaced by R-Universe, rstantools adopted to fix build and export errors, and CRAN NOTE cleanups — contributed largely by four first-time contributors. 2.32.1 and 2.26.1 follow the same pattern, tracking rstan syntax and adding `posterior::as_draws()` support. The last release with substantive modelling content is 2.21.1, which changed how default priors are determined and flipped `autoscale` to FALSE outside default priors.
The package has moved from feature development into ecosystem maintenance, and the contributor list shows why it survives: outside developers keep it compiling against a moving Stan, lme4 and CRAN. The `as_draws()` support and the reformulas migration both point the same way — rstanarm increasingly consumes shared infrastructure (posterior, reformulas, rstantools) instead of carrying its own.
Expect the next release to track another upstream change — rstan, reformulas or CRAN policy — rather than add model families. The pre-fit model surface looks settled.
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 Displayr or rstanarm.
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.
rgbif is steadily pushing users off paged searching and onto real downloads.
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
rotl's whole release history is keeping name matching honest against a moving taxonomy.
taxize spends its releases absorbing other people's API changes, one dead source at a time.
See all Displayr alternatives → · See all rstanarm alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Displayr is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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. Displayr is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top Displayr alternatives in Analytics are ranked by recent ship velocity. Browse the "Displayr alternatives" section above for the current picks, or visit /alternatives/displayr for the full list with editorial commentary on each.
Top rstanarm alternatives in Analytics are ranked by recent ship velocity. Browse the "rstanarm alternatives" section above for the current picks, or visit /alternatives/rstanarm for the full list with editorial commentary on each.