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dtplyr vs insight

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

Shared themes:performance

dtplyr vs insight: at a glance

Featuredtplyrinsight
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata.table, dplyr, translation, performancemodel-introspection, easystats, bayesian, performance
Last editorial update1h 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 insight?

insight quietly widens the set of model objects the easystats ecosystem can read

insight is the extraction layer under the easystats packages — it answers what a fitted model's parameters, data, variance and priors are, for whatever object it is handed. The 1.4.x and 1.5.x releases read as a steady widening of that support list: tidymodels workflows, cmdstanr fits, rstpm2 survival models, lavaan variance-covariance, mice imputations.

Read the full insight trajectory →

dtplyr vs insight: 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.

I
insight
ANALYTICS
0.0

insight quietly widens the set of model objects the easystats ecosystem can read

◆ Current state

insight is the extraction layer under the easystats packages — it answers what a fitted model's parameters, data, variance and priors are, for whatever object it is handed. The 1.4.x and 1.5.x releases read as a steady widening of that support list: tidymodels workflows, cmdstanr fits, rstpm2 survival models, lavaan variance-covariance, mice imputations.

◆ Where it's heading

Two things move together here. The support list grows toward objects produced outside the easystats world, and performance work targets the helpers that everything else calls — compact_list(), is_empty_object(), find_parameters() on mgcv models. New functions appear occasionally (get_simulated(), vcovFPC()) but the center of gravity is coverage, not capability.

◆ Prediction

Expect further model classes to be added as downstream easystats packages need them, and continued alignment with R-devel behavior changes like the weighted-residuals revision.

Alternatives to dtplyr and insight

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 insight.

See all dtplyr alternatives → · See all insight alternatives →

Recent activity from dtplyr and insight

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

  1. 1mo agoinsightcompact_list() performance and lavaan variance-covariance support
  2. 2mo agoinsightcmdstanr support and finite-population-corrected variance
  3. 4mo agoinsightget_simulated() added; rstpm2 survival models supported
  4. 6mo agoinsightWeighted residuals revised to match R 4.6.0
  5. 6mo agoinsighttidymodels workflow objects become readable
  6. 8mo agoinsightlme4 convergence and fixest data extraction fixes
  7. 11mo agodtplyrreframe(), case_match() and consecutive_id() gain translations
  8. 3y agodtplyrcrayon dependency dropped
  9. 3y agodtplyrVerbs stop auto-dispatching; lazy_dt() now required
  10. 3y agodtplyrdtplyr 1.2.2
  11. 4y agodtplyrdtplyr 1.2.1
  12. 4y agodtplyrEight tidyr verbs gain data.table translations

Frequently asked questions

What is the difference between dtplyr and insight?

Both compete on the same themes — performance — within Analytics. dtplyr and insight 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 insight?

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

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