HydroPortailStats
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Comparison · Infra & APIs
BayLum vs profoc
A side-by-side editorial comparison of BayLum and profoc — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
BayLum vs profoc: at a glance
What is BayLum?
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.
What is profoc?
A forecast combination package that spun its profiler out into its own project
profoc combines probabilistic forecasts online, using the Bernstein online aggregation family with B-spline smoothing over quantiles and time. The recent releases are infrastructure rather than method: 1.3.4 removed a using namespace arma directive for CRAN compliance and closed a timer edge case, 1.3.3 adjusted the integration with rcpptimer against its now-stable 1.2.0 API. The last release to change what users can do was 1.3.0, which exposed the conline C++ class to R and exported init_experts_list(), make_basis_mats(), make_hat_mats() and post_process_model() so the engine can be driven directly.
BayLum vs profoc: editorial side-by-side
BayLum
0.0INFRA · APIS
Bayesian luminescence dating that finally replaced its folder-structure input format.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
profoc
0.0INFRA · APIS
A forecast combination package that spun its profiler out into its own project
◆ Current state
profoc combines probabilistic forecasts online, using the Bernstein online aggregation family with B-spline smoothing over quantiles and time. The recent releases are infrastructure rather than method: 1.3.4 removed a using namespace arma directive for CRAN compliance and closed a timer edge case, 1.3.3 adjusted the integration with rcpptimer against its now-stable 1.2.0 API. The last release to change what users can do was 1.3.0, which exposed the conline C++ class to R and exported init_experts_list(), make_basis_mats(), make_hat_mats() and post_process_model() so the engine can be driven directly.
◆ Where it's heading
The direction is toward a reusable C++ core with thin language bindings. The timing code that lived inside profoc was extracted into the standalone rcpptimer package in 1.3.2, deliberately so other R packages and Python projects could use it through cpptimer and cppytimer, and the clock header was reworked in 1.3.1 to maximise the code shared between the R and Python versions. Method work sits earlier in the history - periodic splines and penalties in 1.2.0, the penalty() function in 1.1.0 - while the recent cadence, a single release in the last sixteen months, points at a package the maintainer considers finished.
◆ Prediction
The repeated references to future Python use suggest the next significant work happens outside this package, in the shared C++ components, rather than in profoc's R surface.
Alternatives to BayLum and profoc
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 profoc.
bsvarSIGNs
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
estimatr
Fast design-based estimators for experiments, coasting on CRAN patches.
ggdist
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
ipaddress
IP address vectors for R that hit 1.0 and then went quiet.
ltertools
A column-key toolkit for stitching decades of ecological field data into one table.
See all BayLum alternatives → · See all profoc alternatives →
Recent activity from BayLum and profoc
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agoprofocCRAN compliance fix removing a namespace directive
- 10mo agoBayLumCRAN anchor fixes and an R 4.4 floor
- 1y agoprofocTimer integration updated to the stable rcpptimer API
- 2y agoBayLumOne data-file function and a YAML config replace the folder layout ⚡
- 2y agoprofocTiming code extracted into the standalone rcpptimer package
- 2y agoprofocInteger overflow fix and Welford timing statistics
- 2y agoprofocThe conline C++ class opens up to R users
- 2y agoprofocQuantile crossing flagged and tidy methods added
- 3y agoBayLumMCMC memory halved; density plots for age distributions
- 3y agoBayLumParallel JAGS runs and a file-scaffolding helper
- 4y agoBayLumCustom model injection and RNG control for parallel runs
- 5y agoBayLumParallel JAGS experiment plus IntCal20-era calibration data
Frequently asked questions
What is the difference between BayLum and profoc?
Both compete on the same themes — r-package — within Infra & APIs. BayLum and profoc 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.
Is BayLum better than profoc?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. BayLum and profoc 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.
What are the best alternatives to BayLum?
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.
What are the best alternatives to profoc?
Top profoc alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "profoc alternatives" section above for the current picks, or visit /alternatives/profoc for the full list with editorial commentary on each.