easystats
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
A side-by-side editorial comparison of bigrquery and desirability2 — release velocity, themes, recent moves, and the top alternatives to consider.
bigrquery went MIT, then handed its slowest path to the BigQuery Storage API
bigrquery is the R client for Google BigQuery. Version 1.5.0 was the structural release - MIT relicensing, removal of the long-deprecated non-bq_ API, and a move to the second edition of the dbplyr interface with a much fuller DBI implementation. Since then the work has been about the two things that hurt in practice: download throughput and cost visibility.
desirability2 is making multi-metric model selection a first-class tidymodels step.
desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.
bigrquery is the R client for Google BigQuery. Version 1.5.0 was the structural release - MIT relicensing, removal of the long-deprecated non-bq_ API, and a move to the second edition of the dbplyr interface with a much fuller DBI implementation. Since then the work has been about the two things that hurt in practice: download throughput and cost visibility.
The package is settling into being a well-behaved DBI and dbplyr backend rather than a bespoke API wrapper, and offloading its hard parts to specialist packages - clock for date parsing, bigrquerystorage for bulk downloads, gargle for auth. The recent additions read like responses to production use: job labels for cost allocation, microsecond timestamp precision, a configurable quiet option.
Expect bigrquerystorage to move from optional to expected for large reads, and further work on upload fidelity, where digits and timezone handling have needed repeated correction.
desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.
The direction is integration rather than standalone use. Version 0.1.0 added select_best_desirability() and show_best_desirability() to resolve a tuning run against several metrics at once; 0.2.0 exported make_desirability_cols() so other packages can build on it and made data-driven limits the default, removing the need to state ranges by hand. Both releases move work from the user into the package.
The exported helper and the developer-facing desirability() API point to adoption by other tidymodels packages as the next step rather than new functionality here.
Other Analytics 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 bigrquery or desirability2.
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
discrim settled into a thin engine shim after handing its model definitions to parsnip.
dbparser shed its database and CSV writers to become just a DrugBank parser.
crosstalk is frozen infrastructure: four releases in five years, mostly CRAN upkeep.
cmdstanr keeps adding fast approximations beside full HMC, and fighting Windows toolchains.
comtradr's 1.0 line is a long tail of patches against a brittle UN trade API.
See all bigrquery alternatives → · See all desirability2 alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. bigrquery and desirability2 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. bigrquery and desirability2 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 Analytics products to evaluate alongside.
Top bigrquery alternatives in Analytics are ranked by recent ship velocity. Browse the "bigrquery alternatives" section above for the current picks, or visit /alternatives/bigrquery for the full list with editorial commentary on each.
Top desirability2 alternatives in Analytics are ranked by recent ship velocity. Browse the "desirability2 alternatives" section above for the current picks, or visit /alternatives/desirability2 for the full list with editorial commentary on each.