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kde1d vs vecvec

A side-by-side editorial comparison of kde1d and vecvec — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

kde1d vs vecvec: at a glance

Featurekde1dvecvec
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdensity-estimation, kernel-methods, zero-inflation, cpp-libraryr-package, data-structures, s7, vctrs
Last editorial update1h ago6h ago
WebsiteVisit →Visit →

What is kde1d?

A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.

kde1d estimates univariate densities with local polynomial kernel methods, handling bounded, discrete and now zero-inflated variables through a single type argument, with the numerical work in a header-only C++ library usable outside R. Version 1.1.0 added the zero-inflated discrete-continuous mixture case and shipped a new C++ API as an explicit breaking change; 1.1.1 followed in June with auto-generated notes and no description.

Read the full kde1d trajectory →

What is vecvec?

A vector-of-vectors class swapped its object system mid-flight and came out faster.

vecvec provides an R class that holds multiple vectors as a single logical vector without copying them together, aimed at cases where concatenating would be wasteful. The 1.0.0 rewrite moved the class off vctrs onto S7 while keeping user-facing code working, and added matrix and array behaviour. Recent releases have concentrated on the details that decide whether the abstraction actually saves work: ALTREP vectors surviving intact, subassignment edge cases, and printing that does not materialise what it is describing.

Read the full vecvec trajectory →

kde1d vs vecvec: editorial side-by-side

K
kde1d
ANALYTICS
0.0

A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.

◆ Current state

kde1d estimates univariate densities with local polynomial kernel methods, handling bounded, discrete and now zero-inflated variables through a single type argument, with the numerical work in a header-only C++ library usable outside R. Version 1.1.0 added the zero-inflated discrete-continuous mixture case and shipped a new C++ API as an explicit breaking change; 1.1.1 followed in June with auto-generated notes and no description.

◆ Where it's heading

The package has alternated between performance work and widening the class of data it accepts. The 1.0.0 release was the performance milestone — FFT-based estimation, a better integration algorithm for the p, q and r functions, deterministic jittering replacing randomness, and standalone C++ headers. The 1.1.0 release is the scope milestone, adding a third data type to the two it already handled. Releases come from the same maintainer as svines and cluster on shared dates, so changes in the underlying C++ surface across the vine and density stack tend to ship together.

◆ Prediction

With the C++ API deliberately reworked for standalone use at 1.1.0, further work most plausibly consolidates that interface rather than adding data types. What 1.1.1 actually changed is not readable from its body.

V
vecvec
ANALYTICS
0.0

A vector-of-vectors class swapped its object system mid-flight and came out faster.

◆ Current state

vecvec provides an R class that holds multiple vectors as a single logical vector without copying them together, aimed at cases where concatenating would be wasteful. The 1.0.0 rewrite moved the class off vctrs onto S7 while keeping user-facing code working, and added matrix and array behaviour. Recent releases have concentrated on the details that decide whether the abstraction actually saves work: ALTREP vectors surviving intact, subassignment edge cases, and printing that does not materialise what it is describing.

◆ Where it's heading

The arc runs from proving the idea to making it cheap. Early releases established constructors and vctrs dispatch; 1.0.0 rebuilt the internals on S7 with a smaller, faster representation and automatic flattening of adjacent compatible vectors; the two releases since have been about not defeating the point — an ALTREP vector flattened on construction or materialised by a print method gives back exactly the memory the class exists to save. Extensibility is the other visible thread, with custom ptype2 and cast methods now registrable and extension packages expected to subclass class_vecvec. The internal index structure is explicitly reserved for future change, so faster special-case representations look planned rather than incidental.

◆ Prediction

The reserved internal structure and the stated intent to accommodate faster variants point at specialised representations for particular vector types next; the entries do not indicate which cases are queued first.

Alternatives to kde1d and vecvec

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 kde1d or vecvec.

See all kde1d alternatives → · See all vecvec alternatives →

Recent activity from kde1d and vecvec

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

  1. 1mo agovecvecExtension packages can register their own ptype and cast methods
  2. 1mo agovecvecALTREP vectors survive construction and printing intact
  3. 3mo agovecvecThe class is rebuilt on S7, with a new internal representation
  4. 4mo agovecvecMissing value handling fixed for is.na()
  5. 11mo agovecvecArithmetic and per-vector apply arrive
  6. 11mo agovecvecFirst release: constructors and vctrs dispatch
  7. 1y agokde1dkde1d 1.1.1
  8. 1y agokde1dZero-inflated mixtures and a new standalone C++ API
  9. 4y agokde1dBit-wise Boolean operations removed
  10. 5y agokde1ddkde1d() invisible output fixed
  11. 5y agokde1dValgrind false positive silenced
  12. 6y agokde1dqrng dependency dropped; undefined behaviour fixed

Frequently asked questions

What is the difference between kde1d and vecvec?

Both compete on the same themes — r-package — within Analytics. kde1d and vecvec 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 kde1d better than vecvec?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. kde1d and vecvec 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 kde1d?

Top kde1d alternatives in Analytics are ranked by recent ship velocity. Browse the "kde1d alternatives" section above for the current picks, or visit /alternatives/kde1d for the full list with editorial commentary on each.

What are the best alternatives to vecvec?

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