pins
pins keeps adding a storage backend per release while retiring its original API
Comparison · Analytics
censored vs sparklyr
A side-by-side editorial comparison of censored and sparklyr — release velocity, themes, recent moves, and the top alternatives to consider.
censored vs sparklyr: at a glance
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.
What is sparklyr?
sparklyr now spends its releases absorbing dbplyr changes and feeding pysparklyr
sparklyr connects R to Spark, and almost nothing in this window originates inside the package. Releases restore compatibility after dbplyr changes its SQL generation, adapt to Spark 4.0 and to R 4.4's version-comparison changes, and convert functions into S3 methods so pysparklyr can supply its own implementations.
censored vs sparklyr: editorial side-by-side
censored
0.0ANALYTICS
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.
sparklyr
0.0ANALYTICS
sparklyr now spends its releases absorbing dbplyr changes and feeding pysparklyr
◆ Current state
sparklyr connects R to Spark, and almost nothing in this window originates inside the package. Releases restore compatibility after dbplyr changes its SQL generation, adapt to Spark 4.0 and to R 4.4's version-comparison changes, and convert functions into S3 methods so pysparklyr can supply its own implementations.
◆ Where it's heading
Two dependencies set the agenda. dbplyr repeatedly changes identifier quoting and lazy-table internals, and each change costs sparklyr a release. Meanwhile the package is being hollowed into a backend: ml_fit(), spark_apply(), spark_write_delta() and now tune_grid_spark() exist as methods so that pysparklyr, the Databricks Connect path, can override them. Dependency removal - tibble, rappdirs, digest - runs alongside as the package slims down.
◆ Prediction
Expect the next releases to continue tracking dbplyr and Spark versions, and more functions to be converted to methods as functionality shifts toward pysparklyr; new capability arriving in sparklyr itself looks unlikely.
Alternatives to censored and sparklyr
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 censored or sparklyr.
tsibble
tsibble shipped one release in five and a half years - the data structure is finished
yardstick
yardstick made fairness metrics a first-class part of tidymodels evaluation
tune
tune extends tuning past the model itself to postprocessors, and adds a second parallel backend
leaflet
leaflet relicensed to MIT and finished migrating off R's retired spatial stack
ggpubr
ggpubr reached 1.0.0 with p-value formatting presets for specific journals
See all censored alternatives → · See all sparklyr alternatives →
Recent activity from censored and sparklyr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agosparklyrRestores compatibility after dbplyr changed Hive quoting
- 3mo agosparklyrAdds tune_grid_spark() for pysparklyr to implement
- 4mo agocensoredcensored 0.3.4
- 10mo agosparklyrFixes lazy-table field lookup and a name collision
- 1y agosparklyrCatches up with released Spark 4.0; ml_load() reads via Spark
- 1y agocensoredQuantile prediction format follows new parsnip requirements
- 2y agocensoredSurvival probabilities at infinite evaluation times now computed
- 2y agosparklyrDatabricks autoloader streaming ingestion; R 4.4 fixes
- 2y agocensoredcensored 0.3.1
- 2y agosparklyrDrops tibble and rappdirs; retires Spark 2.3 JARs
- 2y agocensoredmulti_predict() for all glmnet prediction types; aorsf predicts time
- 3y agocensoredeval_time replaces time; matrix fitting for censored regression
Frequently asked questions
What is the difference between censored and sparklyr?
They serve adjacent needs but don't currently overlap on shipped themes. censored and sparklyr 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 censored better than sparklyr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. censored and sparklyr 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 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.
What are the best alternatives to sparklyr?
Top sparklyr alternatives in Analytics are ranked by recent ship velocity. Browse the "sparklyr alternatives" section above for the current picks, or visit /alternatives/sparklyr for the full list with editorial commentary on each.