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bigrquery vs desirability2

A side-by-side editorial comparison of bigrquery and desirability2 — release velocity, themes, recent moves, and the top alternatives to consider.

bigrquery vs desirability2: at a glance

Featurebigrquerydesirability2
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbigquery, dbi, dbplyr, licensingtidymodels, multi-objective optimization, model selection, desirability functions
Last editorial update1h ago52m ago
WebsiteVisit →Visit →

What is bigrquery?

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.

Read the full bigrquery trajectory →

What is desirability2?

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.

Read the full desirability2 trajectory →

bigrquery vs desirability2: editorial side-by-side

B
bigrquery
ANALYTICS
0.0

bigrquery went MIT, then handed its slowest path to the BigQuery Storage API

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

D
desirability2
ANALYTICS
0.0

desirability2 is making multi-metric model selection a first-class tidymodels step.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to bigrquery and desirability2

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.

See all bigrquery alternatives → · See all desirability2 alternatives →

Recent activity from bigrquery and desirability2

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 3mo agobigrqueryJob labels for cost allocation; microsecond upload precision
  2. 11mo agobigrqueryUses bigrquerystorage automatically for large downloads
  3. 11mo agobigrqueryDevelopment snapshot advancing 1.4.0 deprecations
  4. 11mo agodesirability2make_desirability_cols() exported; data-driven limits on by default
  5. 1y agodesirability2Desirability-based model selection added for tune
  6. 2y agobigrqueryForward compatibility with an upcoming dbplyr release
  7. 2y agobigrqueryMIT relicensing, dbplyr second edition, full DBI support
  8. 3y agodesirability2NEWS.md added to track package changes
  9. 3y agobigrquerySyncs with gargle's OAuth client rename

Frequently asked questions

What is the difference between bigrquery and desirability2?

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.

Is bigrquery better than desirability2?

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.

What are the best alternatives to bigrquery?

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.

What are the best alternatives to desirability2?

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.