HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of bcmaps and estimatr — release velocity, themes, recent moves, and the top alternatives to consider.
BC's spatial data package finished its sf migration and went back to adding layers
bcmaps provides British Columbia spatial layers and boundary data to R users, pulling from the BC Data Catalogue. The disruptive work is behind it: version 2.0.0 removed sp and raster support outright, leaving sf as the only returned class, in response to the retirement of rgdal and rgeos. Since then releases have been additive and small - cded_terra() replacing the deprecated raster variant, utm_convert() for reconciling coordinates across UTM zones, and in 2.3.0 a census dissemination block layer plus a dependency bump that removes an indirect reliance on the soon-to-be-archived leaflet.extras.
Fast design-based estimators for experiments, coasting on CRAN patches.
estimatr provides the design-based regression estimators the DeclareDesign ecosystem is built on — robust and cluster-robust standard errors, blocked and clustered randomization inference — implemented for speed rather than generality. The last three releases carry no substantive notes: each is a merge commit for a CRAN patch, one of them accompanied by a typo fix.
bcmaps provides British Columbia spatial layers and boundary data to R users, pulling from the BC Data Catalogue. The disruptive work is behind it: version 2.0.0 removed sp and raster support outright, leaving sf as the only returned class, in response to the retirement of rgdal and rgeos. Since then releases have been additive and small - cded_terra() replacing the deprecated raster variant, utm_convert() for reconciling coordinates across UTM zones, and in 2.3.0 a census dissemination block layer plus a dependency bump that removes an indirect reliance on the soon-to-be-archived leaflet.extras.
The package has spent most of its recent history reducing what it depends on rather than growing. Layers moved from a companion data package to direct Data Catalogue downloads in 1.1.0, ending manual update cycles; the sp and raster removal followed a full release of deprecation warnings; the terra transition took the same staged path. The recent dependency bump for leaflet.extras is the same instinct applied early. Feature work now arrives one function or one layer at a time, at roughly one release a year.
Expect further individual layer additions on request, and a completion of the terra transition through removal of the deprecated cded_raster(), given the package's pattern of announcing removals a release ahead.
estimatr provides the design-based regression estimators the DeclareDesign ecosystem is built on — robust and cluster-robust standard errors, blocked and clustered randomization inference — implemented for speed rather than generality. The last three releases carry no substantive notes: each is a merge commit for a CRAN patch, one of them accompanied by a typo fix.
Direction cannot be read from this feed. The release notes are unedited merge-commit messages, so the only signal is cadence — roughly annual, each release framed as a CRAN patch rather than as feature work. That pattern is consistent with a package whose estimators are considered finished and which now moves only when CRAN policy requires it.
On the evidence here the next release is another CRAN compliance patch, but the notes are too thin to support a confident read of what the maintainers are actually working on.
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 bcmaps or estimatr.
France's national flood statistics, ported out of Fortran and into R.
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
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 bcmaps alternatives → · See all estimatr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. bcmaps and estimatr 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. bcmaps and estimatr 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 bcmaps alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "bcmaps alternatives" section above for the current picks, or visit /alternatives/bcmaps for the full list with editorial commentary on each.
Top estimatr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "estimatr alternatives" section above for the current picks, or visit /alternatives/estimatr for the full list with editorial commentary on each.