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bigrquery vs censored

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

bigrquery vs censored: at a glance

Featurebigrquerycensored
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesbigquery, dbi, dbplyr, licensingsurvival-analysis, tidymodels, parsnip, engines
Last editorial update46m ago1h 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 censored?

censored keeps survival models aligned with parsnip's shifting prediction contracts

censored supplies survival-analysis engines to parsnip, and its release history is dominated by staying in step with the rest of tidymodels rather than shipping independent features. The 0.2.0 and 0.3.0 releases added engines and prediction types; everything since has been contract alignment — quantile prediction format, hardhat test adaptation, flexsurv preparation.

Read the full censored trajectory →

bigrquery vs censored: 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.

C
censored
ANALYTICS
0.0

censored keeps survival models aligned with parsnip's shifting prediction contracts

◆ Current state

censored supplies survival-analysis engines to parsnip, and its release history is dominated by staying in step with the rest of tidymodels rather than shipping independent features. The 0.2.0 and 0.3.0 releases added engines and prediction types; everything since has been contract alignment — quantile prediction format, hardhat test adaptation, flexsurv preparation.

◆ Where it's heading

The package is settling into a downstream role where parsnip and hardhat set the interface and censored implements it for censored regression. Breaking changes arrive from upstream, not from new ideas here. The substantive engine work — aorsf, flexsurvspline, glmnet multi_predict — is behind it, and recent cycles are thin.

◆ Prediction

Expect the next releases to track further parsnip prediction-type changes rather than add engines; the entries do not show new survival methods in progress.

Alternatives to bigrquery and censored

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 censored.

See all bigrquery alternatives → · See all censored alternatives →

Recent activity from bigrquery and censored

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

  1. 3mo agobigrqueryJob labels for cost allocation; microsecond upload precision
  2. 4mo agocensoredcensored 0.3.4
  3. 11mo agobigrqueryUses bigrquerystorage automatically for large downloads
  4. 11mo agobigrqueryDevelopment snapshot advancing 1.4.0 deprecations
  5. 1y agocensoredQuantile prediction format follows new parsnip requirements
  6. 2y agocensoredSurvival probabilities at infinite evaluation times now computed
  7. 2y agocensoredcensored 0.3.1
  8. 2y agobigrqueryForward compatibility with an upcoming dbplyr release
  9. 2y agocensoredmulti_predict() for all glmnet prediction types; aorsf predicts time
  10. 2y agobigrqueryMIT relicensing, dbplyr second edition, full DBI support
  11. 3y agobigrquerySyncs with gargle's OAuth client rename
  12. 3y agocensoredeval_time replaces time; matrix fitting for censored regression

Frequently asked questions

What is the difference between bigrquery and censored?

They serve adjacent needs but don't currently overlap on shipped themes. bigrquery and censored 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 censored?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bigrquery and censored 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 censored?

Top censored alternatives in Analytics are ranked by recent ship velocity. Browse the "censored alternatives" section above for the current picks, or visit /alternatives/censored for the full list with editorial commentary on each.