HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of BayLum and survivoR — release velocity, themes, recent moves, and the top alternatives to consider.
Bayesian luminescence dating that finally replaced its folder-structure input format.
BayLum runs Bayesian age models for luminescence and combined OSL/C-14 dating on top of JAGS. The 2024 release rebuilt the front end: a single create_DataFile() replaces the separate single-grain and multi-grain generators, reads BIN/BINX and XSYG directly, and takes a YAML config in place of the old prescribed folder layout. Since then the work has been CRAN compliance and documentation.
A Survivor data package that keeps turning a TV show into a relational database
survivoR ships Survivor franchise data as R data frames covering the US, Australian, UK and New Zealand versions. Recent releases track broadcast: US48, US49 and US50 arrived across 2.3.6, 2.3.9 and 2.3.12, alongside AU09, AU12 and Australia vs. The World. The 2.3.12 release also reworked castaway_scores into an explicit three-tier structure - standardised residual scores, probabilistic scores bounded on [0,1], and combined scores - and added advantage_timeline as a long-format view of advantage movement.
BayLum runs Bayesian age models for luminescence and combined OSL/C-14 dating on top of JAGS. The 2024 release rebuilt the front end: a single create_DataFile() replaces the separate single-grain and multi-grain generators, reads BIN/BINX and XSYG directly, and takes a YAML config in place of the old prescribed folder layout. Since then the work has been CRAN compliance and documentation.
Two long-running threads have converged: making JAGS runs survivable (parallel methods, halved MCMC memory, injectable custom models) and making the inputs survivable (YAML config, consistency checks, auto-detected sample names). With the deprecated generators on their way out, the next phase is removal rather than addition. Release cadence is roughly annual and slowing.
The deprecated Generate_DataFile(), Generate_DataFile_MG() and LT_RegenDose() are the obvious next casualties; a release that drops them would be the first breaking change since the YAML rework.
survivoR ships Survivor franchise data as R data frames covering the US, Australian, UK and New Zealand versions. Recent releases track broadcast: US48, US49 and US50 arrived across 2.3.6, 2.3.9 and 2.3.12, alongside AU09, AU12 and Australia vs. The World. The 2.3.12 release also reworked castaway_scores into an explicit three-tier structure - standardised residual scores, probabilistic scores bounded on [0,1], and combined scores - and added advantage_timeline as a long-format view of advantage movement.
The work is less about adding seasons than about making the tables join cleanly. 2.3.1 rebuilt challenge_description and challenge_results around a shared challenge_id, added challenge characteristic flags and result notes, and put logical finalist, winner and jury flags on castaways. Since then the pattern repeats at smaller scale: boot_order as its own table, season_name deprecated everywhere except season_summary, castaways cleaned so people booted twice appear once. Derived analytical columns are being separated from raw records rather than mixed into them.
Expect the next release to add the current season's data on the same broadcast-following cadence, with any structural work continuing to split derived scores out of the raw tables.
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 BayLum or survivoR.
France's national flood statistics, ported out of Fortran and into R.
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
Fast design-based estimators for experiments, coasting on CRAN patches.
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
IP address vectors for R that hit 1.0 and then went quiet.
A column-key toolkit for stitching decades of ecological field data into one table.
See all BayLum alternatives → · See all survivoR alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. BayLum and survivoR 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. BayLum and survivoR 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 BayLum alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "BayLum alternatives" section above for the current picks, or visit /alternatives/baylum for the full list with editorial commentary on each.
Top survivoR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "survivoR alternatives" section above for the current picks, or visit /alternatives/survivor for the full list with editorial commentary on each.