HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of bsvarSIGNs and metR — release velocity, themes, recent moves, and the top alternatives to consider.
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
bsvarSIGNs estimates structural vector autoregressions identified by sign, zero and narrative restrictions, with the sampler in C++ and the objects, workflows and code structure deliberately matched to the bsvars package. Since the 1.0 launch in mid-2024 the releases have been consolidation: a fix pass, then a vignette, citation metadata and C++ changes to stay ahead of an upcoming compiler check.
A meteorology ggplot2 extension where the netCDF reader became the main event
metR supplies meteorological and oceanographic tools for R: contour and streamline geoms, EOF decomposition, wave fitting, and ReadNetCDF() for getting gridded data in. Development has concentrated heavily on that reader. Version 0.18.0 added subsetting by dimension index, so the first or last ten timesteps can be read without knowing how many exist; 0.18.1 moved time parsing to the CFtime package; 0.18.2 added cdo operations through rcdo and reading across multiple files in parallel, and fixed a subsetting bug where nearest-gridpoint matching could return data outside the requested range entirely.
bsvarSIGNs estimates structural vector autoregressions identified by sign, zero and narrative restrictions, with the sampler in C++ and the objects, workflows and code structure deliberately matched to the bsvars package. Since the 1.0 launch in mid-2024 the releases have been consolidation: a fix pass, then a vignette, citation metadata and C++ changes to stay ahead of an upcoming compiler check.
The package launched with a published roadmap and the stated intention of intensive development, then spent its next two releases on documentation and compliance rather than new identification schemes. The 2.0 version number is not matched by the changes described under it. What the feed shows is a methods package settling in after launch, not one expanding.
The roadmap referenced at launch is the only stated plan, and the entries since do not say which part of it is next.
metR supplies meteorological and oceanographic tools for R: contour and streamline geoms, EOF decomposition, wave fitting, and ReadNetCDF() for getting gridded data in. Development has concentrated heavily on that reader. Version 0.18.0 added subsetting by dimension index, so the first or last ten timesteps can be read without knowing how many exist; 0.18.1 moved time parsing to the CFtime package; 0.18.2 added cdo operations through rcdo and reading across multiple files in parallel, and fixed a subsetting bug where nearest-gridpoint matching could return data outside the requested range entirely.
Two threads run through the releases. The first is tracking ggplot2, absorbing the linewidth aesthetic, the trans to transform rename and guide compatibility as each landed upstream. The second is narrowing scope while deepening the data path: GetSMNData() was made defunct as too specific for a general package, raster and gdal dependencies were removed, and the udunits2 dependency was dropped when it was orphaned, initially replaced by a homebrewed date parser and eventually by CFtime. The result is a package steadily shedding its own code in favour of specialised upstream libraries.
Expect further ReadNetCDF() work, since it has received features in four of the last five releases and the rcdo integration opens a large surface of operations to expose.
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 bsvarSIGNs or metR.
France's national flood statistics, ported out of Fortran and into R.
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.
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all bsvarSIGNs alternatives → · See all metR alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. bsvarSIGNs and metR 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. bsvarSIGNs and metR 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 bsvarSIGNs alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "bsvarSIGNs alternatives" section above for the current picks, or visit /alternatives/bsvarsigns for the full list with editorial commentary on each.
Top metR alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "metR alternatives" section above for the current picks, or visit /alternatives/metr for the full list with editorial commentary on each.