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dtplyr vs tsibble

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

dtplyr vs tsibble: at a glance

Featuredtplyrtsibble
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata.table, dplyr, translation, performancetime-series, data-structures, vctrs, tidyverts
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is dtplyr?

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.

Read the full dtplyr trajectory →

What is tsibble?

tsibble shipped one release in five and a half years - the data structure is finished

tsibble defines the tidy time-series data structure that fable and feasts are built on. The design churned heavily through 2018 and 2019, settled with the 0.9.0 move onto vctrs in mid-2020, and then went quiet: the next release, 1.2.0, arrived in February 2026 with a summary() method and some tidyselect helpers.

Read the full tsibble trajectory →

dtplyr vs tsibble: editorial side-by-side

D
dtplyr
ANALYTICS
0.0

dtplyr stopped hijacking data.table objects and became an opt-in translator

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

T
tsibble
ANALYTICS
0.0

tsibble shipped one release in five and a half years - the data structure is finished

◆ Current state

tsibble defines the tidy time-series data structure that fable and feasts are built on. The design churned heavily through 2018 and 2019, settled with the 0.9.0 move onto vctrs in mid-2020, and then went quiet: the next release, 1.2.0, arrived in February 2026 with a summary() method and some tidyselect helpers.

◆ Where it's heading

This is a package that reached its final shape and stopped. The early releases are a rapid sequence of breaking changes to the key and interval metadata, each one warning that previously stored objects are corrupt; once the interval became a formal vctrs record type there was nothing structural left to change. The five-year gap is the trajectory, not a lapse.

◆ Prediction

Expect further releases to be small compatibility and convenience additions at long intervals; with the type system settled and windowing delegated to slider, there is no visible pressure for another breaking change.

Alternatives to dtplyr and tsibble

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 tsibble.

See all dtplyr alternatives → · See all tsibble alternatives →

Recent activity from dtplyr and tsibble

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

  1. 6mo agotsibblesummary() for time classes; sequential column construction
  2. 11mo agodtplyrreframe(), case_match() and consecutive_id() gain translations
  3. 3y agodtplyrcrayon dependency dropped
  4. 3y agodtplyrVerbs stop auto-dispatching; lazy_dt() now required
  5. 3y agodtplyrdtplyr 1.2.2
  6. 4y agodtplyrdtplyr 1.2.1
  7. 4y agodtplyrEight tidyr verbs gain data.table translations
  8. 6y agotsibbleInterval becomes a vctrs record type; windowing moves to slider
  9. 7y agotsibbleLifecycle badges and yearweek string parsing
  10. 7y agotsibblePatch fixes for renaming, single-row and duplicate-index cases
  11. 7y agotsibbleindex_by() groups the index; unnest_tsibble() added
  12. 7y agotsibbleMetadata overhaul folds regular into interval, ordered into index

Frequently asked questions

What is the difference between dtplyr and tsibble?

They serve adjacent needs but don't currently overlap on shipped themes. dtplyr and tsibble 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 dtplyr better than tsibble?

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

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.

What are the best alternatives to tsibble?

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