jSDM
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
A side-by-side editorial comparison of LightLogR and tidyplots — release velocity, themes, recent moves, and the top alternatives to consider.
Wearable light-exposure data gets circular time and versioned device formats
LightLogR ingests recordings from wearable light loggers and optical radiation dosimeters, and its release notes are lopsided: four of the six most recent tags are one-line merge stubs while 0.10.0 carries several thousand words. That release is where the package sits — dataset-wide summary tables, a version argument on the importers, and time of day handled as a circular quantity.
tidyplots keeps rebuilding its own foundations rather than layering around them.
tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.
LightLogR ingests recordings from wearable light loggers and optical radiation dosimeters, and its release notes are lopsided: four of the six most recent tags are one-line merge stubs while 0.10.0 carries several thousand words. That release is where the package sits — dataset-wide summary tables, a version argument on the importers, and time of day handled as a circular quantity.
The arc runs from reading files off N devices toward modelling the awkward shapes of chronobiology data. Circular conversion lets bedtimes crossing midnight average correctly; remove_partial_data() can demand a minimum duration rather than a fraction of a known total; add_states() takes Interval objects so sleep-scoring output flows straight in. The device side hardens in parallel — supported_versions() exists because a VEET firmware release changed the file format mid-life.
The version switch currently covers VEET and a German-locale Actiwatch Spectrum; more device-format generations behind that same argument are the obvious continuation as manufacturers revise exports. The named milestones (Civil Dawn, then Sunrise) suggest the next substantive release will be another themed one rather than a steady drip.
tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.
The package is converging on ggplot2 rather than abstracting away from it: split_plot() now uses facet_wrap and facet_grid, as_tidyplot() was hard-deprecated on the grounds that converting a ggplot was never a good idea, and releases are timed against upstream ggplot2 versions. The other constant is the statistics surface, which has grown from basic error bars to paired and selected comparisons. Breaking changes are announced plainly and frequently, consistent with a package using 0.x to fix its shape before committing.
The patchwork removal is described as something that will eventually break dependent code, so the near-term work is likely completing that migration and settling the split_plot() parameters introduced alongside it. A 1.0 would signal the breaking-change cadence is ending, and nothing here indicates that yet.
Other Infra & APIs 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 LightLogR or tidyplots.
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
An ecosystem model starts tracking carbon isotopes and land-use change.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
State-panel tooling holding steady since its 2020 data and ergonomics release.
Five years of compiler and CRAN fixes on a capture-recapture package.
See all LightLogR alternatives → · See all tidyplots alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. LightLogR and tidyplots 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. LightLogR and tidyplots 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 Infra & APIs products to evaluate alongside.
Top LightLogR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "LightLogR alternatives" section above for the current picks, or visit /alternatives/lightlogr for the full list with editorial commentary on each.
Top tidyplots alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "tidyplots alternatives" section above for the current picks, or visit /alternatives/tidyplots for the full list with editorial commentary on each.