HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of BayLum and Retool — 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.
Retool is fencing in its app-building agent — plan mode above, row-level data policies below.
Releases arrive several times a week and split cleanly. One line extends the app-building agent: standing building context, multiple threads per branch, and now a plan mode that shows intended changes before they land. The other tightens administration: PostgreSQL access policies in public beta, BYOK token accounting, an admin onboarding hub, plus self-hosted release and migration notices.
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.
Releases arrive several times a week and split cleanly. One line extends the app-building agent: standing building context, multiple threads per branch, and now a plan mode that shows intended changes before they land. The other tightens administration: PostgreSQL access policies in public beta, BYOK token accounting, an admin onboarding hub, plus self-hosted release and migration notices.
The two lines are the same bet. Retool is making agent-built apps acceptable to organizations that cannot let a generated app decide what data it reads, so every agent capability is paired with a constraint — instructions the agent must follow, a plan the reviewer sees, and access policies enforced at the resource rather than in app code. The self-hosted channel keeps pace, which matters for exactly the buyers those controls target.
Expect access policies to extend past PostgreSQL to other resource types as they leave beta, and further review or approval steps around the app-building agent.
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 Retool.
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 Retool alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Retool 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. Retool 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 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 Retool alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Retool alternatives" section above for the current picks, or visit /alternatives/retool for the full list with editorial commentary on each.