TidyDensity
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
A side-by-side editorial comparison of firatheme and sdsfun — release velocity, themes, recent moves, and the top alternatives to consider.
firatheme woke up after four years and started fixing what ggplot2 changed underneath it.
A ggplot2 theme built around the Fira font family. It went quiet after the 2021 releases that made it pass R CMD check cleanly on all three platforms, then returned in December 2025 with a maintenance release solving a ggplot2 deprecation warning and cleaning up text alignment, followed six weeks later by a facet argument to theme_fira() that adds borders and a custom strip background so facet labels stay legible.
A spatial-statistics utility package exists to be depended on, and is built accordingly.
sdsfun collects spatial data science utilities — neighbour lists, spatial constrained clustering, discretization, dummy variable generation, geographical detector statistics and projection helpers — with the computationally heavy parts implemented in Rcpp. It was assembled quickly across late 2024, adding a function set roughly every three weeks, and has slowed since to a couple of releases a year. The most recent work is corrective: no longer initializing the RNG state at load, fixing matrix inputs misread as vectors, and clearing an Armadillo deprecation.
A ggplot2 theme built around the Fira font family. It went quiet after the 2021 releases that made it pass R CMD check cleanly on all three platforms, then returned in December 2025 with a maintenance release solving a ggplot2 deprecation warning and cleaning up text alignment, followed six weeks later by a facet argument to theme_fira() that adds borders and a custom strip background so facet labels stay legible.
The pattern of the revival is compatibility first, then the gap users actually hit. Faceting is the obvious hole in any hand-built theme — strip labels are where a theme that looks right on a single panel falls apart — and it arrived immediately after the deprecation cleanup, from a new contributor who has now made every recent change. Note the 0.2.4 release notes restate 0.2.3's contents rather than describing new work.
With faceting handled, further releases most likely track ggplot2 deprecations; the entries don't support a stronger claim than that.
sdsfun collects spatial data science utilities — neighbour lists, spatial constrained clustering, discretization, dummy variable generation, geographical detector statistics and projection helpers — with the computationally heavy parts implemented in Rcpp. It was assembled quickly across late 2024, adding a function set roughly every three weeks, and has slowed since to a couple of releases a year. The most recent work is corrective: no longer initializing the RNG state at load, fixing matrix inputs misread as vectors, and clearing an Armadillo deprecation.
This is infrastructure for a family of packages rather than an end-user tool, and the changelog says so directly — functions were added to support gdverse and sesp, and moran_test was migrated in from geocomplexity. That migration pattern is the defining move: capability consolidates here so the downstream packages can share it instead of each carrying its own copy. Growth has slowed as that consolidation completed, leaving correctness and dependency upkeep.
Given the package moves when its dependents need something, the next release most likely brings in another shared function or responds to a downstream requirement rather than following its own plan. Armadillo and CRAN check changes remain the reliable source of maintenance work.
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 firatheme or sdsfun.
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.
The area-proportional Euler diagram package is finished software, and maintained like it.
See all firatheme alternatives → · See all sdsfun alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. firatheme and sdsfun 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. firatheme and sdsfun 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 firatheme alternatives in Analytics are ranked by recent ship velocity. Browse the "firatheme alternatives" section above for the current picks, or visit /alternatives/firatheme for the full list with editorial commentary on each.
Top sdsfun alternatives in Analytics are ranked by recent ship velocity. Browse the "sdsfun alternatives" section above for the current picks, or visit /alternatives/sdsfun for the full list with editorial commentary on each.