easystats
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
A side-by-side editorial comparison of dtplyr and yardstick — release velocity, themes, recent moves, and the top alternatives to consider.
dtplyr stopped hijacking data.table objects and became an opt-in translator
dtplyr converts dplyr and tidyr code into data.table syntax, and 1.3.0 redrew its boundary: verbs no longer dispatch to dtplyr translations just because dtplyr is loaded, so lazy_dt() has to be called explicitly. Since then the work has been translation coverage — reframe(), case_match(), consecutive_id() — plus a long tail of correctness fixes in grouping and .by.
yardstick made fairness metrics a first-class part of tidymodels evaluation
yardstick supplies the metrics tidymodels evaluates models with. Its recent history is metric expansion into areas the package did not originally cover - survival analysis, model fairness, and in 1.4.0 a batch of regression and classification metrics filling remaining gaps - alongside a long deprecation cycle that finally turned errors on in 1.4.0.
dtplyr converts dplyr and tidyr code into data.table syntax, and 1.3.0 redrew its boundary: verbs no longer dispatch to dtplyr translations just because dtplyr is loaded, so lazy_dt() has to be called explicitly. Since then the work has been translation coverage — reframe(), case_match(), consecutive_id() — plus a long tail of correctness fixes in grouping and .by.
The package is trailing dplyr's own feature releases rather than leading them, adding each new verb once it settles upstream. Performance work is targeted at specific verbs where data.table has a faster primitive: setorder() for arrange(), reference drops for select(), rleid() for consecutive_id(). Release cadence has thinned considerably since 2023.
Expect further one-for-one translations as dplyr adds verbs, and continued fixes around .by and non-standard column names; the entries show no sign of a broader redesign.
yardstick supplies the metrics tidymodels evaluates models with. Its recent history is metric expansion into areas the package did not originally cover - survival analysis, model fairness, and in 1.4.0 a batch of regression and classification metrics filling remaining gaps - alongside a long deprecation cycle that finally turned errors on in 1.4.0.
The direction is coverage plus extensibility. Rather than adding fairness metrics one at a time, 1.3.0 shipped new_groupwise_metric() so group-aware metrics can be defined for the problem at hand, which is the more durable contribution. The parallel thread is removing hidden state: the event_first global option, deprecated in 0.0.7, took until 1.4.0 to become an error.
Expect the groupwise constructor to attract more fairness definitions than the three shipped, and the developer-facing metric creation helpers deprecated in 1.2.0 to be removed next; core metric coverage now looks close to complete.
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 dtplyr or yardstick.
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.
desirability2 is making multi-metric model selection a first-class tidymodels step.
crosstalk is frozen infrastructure: four releases in five years, mostly CRAN upkeep.
cmdstanr keeps adding fast approximations beside full HMC, and fighting Windows toolchains.
See all dtplyr alternatives → · See all yardstick alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. dtplyr and yardstick 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. dtplyr and yardstick 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 dtplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "dtplyr alternatives" section above for the current picks, or visit /alternatives/dtplyr for the full list with editorial commentary on each.
Top yardstick alternatives in Analytics are ranked by recent ship velocity. Browse the "yardstick alternatives" section above for the current picks, or visit /alternatives/yardstick for the full list with editorial commentary on each.