labelled
The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.
A side-by-side editorial comparison of firatheme and spEDM — 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.
Spatial causal discovery in R, one exposed method per release
spEDM brings empirical dynamic modeling to spatial data — cross mapping, convergent cross mapping and pattern causality over spatial vector and raster inputs, with the numerics in C++ behind S4 generics. The recent releases have exposed geographical pattern causality and spatially convergent partial cross mapping at the R level with vignettes, and 1.12 turns to consolidating the API. It is part of the stscl family alongside the temporal-domain tEDM, with which it shares both its C++ core and its maintainer.
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.
spEDM brings empirical dynamic modeling to spatial data — cross mapping, convergent cross mapping and pattern causality over spatial vector and raster inputs, with the numerics in C++ behind S4 generics. The recent releases have exposed geographical pattern causality and spatially convergent partial cross mapping at the R level with vignettes, and 1.12 turns to consolidating the API. It is part of the stscl family alongside the temporal-domain tEDM, with which it shares both its C++ core and its maintainer.
The cadence is steady and predictable: each release surfaces one more EDM method as an R-level API with a vignette, then spends the rest of its notes on parameter-handling consistency across the generics. Breaking changes are frequent and deliberate — argument renames, parameter reordering, NA-handling defaults — which reads as a package still settling its interface while the method surface expands. Shared changes appear in tEDM within days, so interface churn lands on both packages at once.
Expect the next release to expose another causality variant at the R level with an accompanying vignette, and to continue renaming or reordering parameters toward consistency across the spatial and temporal packages.
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 spEDM.
The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.
flashlight hit 1.0 by giving away its SHAP feature and making most of its API internal.
A palette generator became a palette platform — and changed the metric behind every color it picks.
An extreme-value toolkit reorganised its whole API into prefixed families and tripled its estimator count.
nflseedR rewrote its simulator from scratch and put the original on a deprecation clock.
The Open Systems Pharmacology plotting layer spent 2025 absorbing a ggplot2 major break.
See all firatheme alternatives → · See all spEDM 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 spEDM 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 spEDM 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 spEDM alternatives in Analytics are ranked by recent ship velocity. Browse the "spEDM alternatives" section above for the current picks, or visit /alternatives/spedm for the full list with editorial commentary on each.