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Comparison · Analytics
dplyr vs StatsBase.jl
A side-by-side editorial comparison of dplyr and StatsBase.jl — release velocity, themes, recent moves, and the top alternatives to consider.
dplyr vs StatsBase.jl: at a glance
What is dplyr?
After two quiet years dplyr widened its verb vocabulary in one release
dplyr sat on patch releases from late 2023 until 1.2.0 landed in February 2026, and that release did a lot at once: a filter_out() counterpart to filter(), elementwise when_any() and when_all(), and three new recoding verbs alongside case_when(). It also rewrote if_else(), case_when() and coalesce() in C via vctrs, and promoted .by and reframe() from experimental to stable. The follow-up 1.2.1 is a compliance patch.
What is StatsBase.jl?
StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.
StatsBase.jl is deep in the 0.34 patch series, releasing every few months with changes that are either small correctness fixes or bot-authored dependency bumps. The most substantive recent release, 0.34.10, fixed weighted sampling with UnitWeights, sped up unweighted ecdf, and widened quantile to accept non-Real element types. Since then the tags have thinned to CI action bumps and a diff-only note.
dplyr vs StatsBase.jl: editorial side-by-side
dplyr
0.0ANALYTICS
After two quiet years dplyr widened its verb vocabulary in one release
◆ Current state
dplyr sat on patch releases from late 2023 until 1.2.0 landed in February 2026, and that release did a lot at once: a filter_out() counterpart to filter(), elementwise when_any() and when_all(), and three new recoding verbs alongside case_when(). It also rewrote if_else(), case_when() and coalesce() in C via vctrs, and promoted .by and reframe() from experimental to stable. The follow-up 1.2.1 is a compliance patch.
◆ Where it's heading
The package is expanding its verb set deliberately, through published Tidyup design proposals rather than ad-hoc additions, and each new verb targets a case where the old idiom was error-prone - most obviously NA handling in negated filters. Underneath, hot paths keep moving from R into C, so the API grows while the runtime cost falls.
◆ Prediction
Expect the remaining experimental surface to follow .by and reframe() toward stable, and further hot paths to be rewritten in C via vctrs. The two Tidyup proposals referenced here suggest more of the filter and recode families is still being designed.
StatsBase.jl
0.0ANALYTICS
StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.
◆ Current state
StatsBase.jl is deep in the 0.34 patch series, releasing every few months with changes that are either small correctness fixes or bot-authored dependency bumps. The most substantive recent release, 0.34.10, fixed weighted sampling with UnitWeights, sped up unweighted ecdf, and widened quantile to accept non-Real element types. Since then the tags have thinned to CI action bumps and a diff-only note.
◆ Where it's heading
This is the shape of a foundational Julia package that has reached its intended scope: the API is settled, and maintenance means keeping compat bounds current and closing long-tail correctness issues raised by users. Nothing in the feed suggests new statistical capability is being staged. The most likely reason is that new work now lands in the downstream packages that build on StatsBase rather than in StatsBase itself.
◆ Prediction
Expect more 0.34.x patches on the same rhythm — CompatHelper bumps and occasional user-reported edge-case fixes — with no signal in these entries that a 0.35 or 1.0 is being prepared.
Alternatives to dplyr and StatsBase.jl
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 dplyr or StatsBase.jl.
OpenHouse
OpenHouse is hardening the seams where table policies and jobs quietly fail.
silx
silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
statsmodels
statsmodels ships only what the ecosystem breaks — six releases, no new statistics.
iris
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
shiny
Shiny made reactive apps observable, then gave them a way to tear themselves down
See all dplyr alternatives → · See all StatsBase.jl alternatives →
Recent activity from dplyr and StatsBase.jl
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoStatsBase.jlv0.34.12
- 2mo agoStatsBase.jlv0.34.11
- 4mo agodplyrFull compliance with the R C API
- 6mo agodplyrfilter_out(), when_any() and three recoding verbs land in 1.2.0 ⚡
- 7mo agoStatsBase.jl0.34.10: faster unweighted ecdf and quantile on non-Real element types
- 2y agodplyrNamespaced join_by() helpers and refreshed bundled datasets
- 2y agodplyrDeprecation message and setequal() consistency fixes
- 3y agodplyrAll-NA join key fix and count() documentation
- 3y agodplyrJoins gain a relationship argument and warn far less often
Frequently asked questions
What is the difference between dplyr and StatsBase.jl?
They serve adjacent needs but don't currently overlap on shipped themes. dplyr and StatsBase.jl 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 dplyr better than StatsBase.jl?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dplyr and StatsBase.jl 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 dplyr?
Top dplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "dplyr alternatives" section above for the current picks, or visit /alternatives/dplyr for the full list with editorial commentary on each.
What are the best alternatives to StatsBase.jl?
Top StatsBase.jl alternatives in Analytics are ranked by recent ship velocity. Browse the "StatsBase.jl alternatives" section above for the current picks, or visit /alternatives/statsbase-jl for the full list with editorial commentary on each.