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delaporte vs washdata

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

delaporte vs washdata: at a glance

Featuredelaportewashdata
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesprobability-distributions, count-data, fortran, openmpopen data, wash surveys, data package, maintenance
Last editorial update50m ago2h ago
WebsiteVisit →Visit →

What is delaporte?

A Fortran-backed Delaporte distribution package where every release is compiler and CRAN weather.

Delaporte supplies the density, distribution, quantile and random-generation functions for the Delaporte distribution — a Poisson-negative-binomial convolution used for overdispersed count data — implemented in Fortran and called through C. The only user-facing addition in the visible history is explicit OpenMP thread control via getDelapThreads() and setDelapThreads() at 8.2.0.

Read the full delaporte trajectory →

What is washdata?

washdata is a fixed survey dataset; eight years of releases have changed only its packaging.

A data package distributing the Urban Water and Sanitation Survey, on CRAN since January 2018. No release has altered the data. The 2018 pair added survey country, year and aim to DESCRIPTION and fixed a README link; everything since — 2020, 2024 and the January 2026 release — is documentation, formatting, badges, repository refreshes and updates for a new rhub version.

Read the full washdata trajectory →

delaporte vs washdata: editorial side-by-side

D
delaporte
ANALYTICS
0.0

A Fortran-backed Delaporte distribution package where every release is compiler and CRAN weather.

◆ Current state

Delaporte supplies the density, distribution, quantile and random-generation functions for the Delaporte distribution — a Poisson-negative-binomial convolution used for overdispersed count data — implemented in Fortran and called through C. The only user-facing addition in the visible history is explicit OpenMP thread control via getDelapThreads() and setDelapThreads() at 8.2.0.

◆ Where it's heading

The maintenance burden here is portability, not statistics. Recent entries track a Fortran suffix change for Intel compiler compatibility, architecture-specific test tolerances, type-safety corrections on values crossing the C-to-Fortran boundary, and a thread-count variable relocated from R options to an environment variable to follow an upstream R commit. The distribution functions themselves are settled; what changes is how the compiled code is built and checked across CRAN's platform matrix.

◆ Prediction

Expect the next release to follow another CRAN toolchain or Writing R Extensions policy change, as the last several have. Two of the four visible entries carry no notes at all, so this feed will keep understating what actually shipped.

W
washdata
ANALYTICS
0.0

washdata is a fixed survey dataset; eight years of releases have changed only its packaging.

◆ Current state

A data package distributing the Urban Water and Sanitation Survey, on CRAN since January 2018. No release has altered the data. The 2018 pair added survey country, year and aim to DESCRIPTION and fixed a README link; everything since — 2020, 2024 and the January 2026 release — is documentation, formatting, badges, repository refreshes and updates for a new rhub version.

◆ Where it's heading

Nothing is heading anywhere, and for a dataset package that is the point: the value is a citable, unchanging artifact, and the release history exists to keep it installable as R's toolchain moves. The maintenance cadence matches the maintainer's other nutrition packages, which received the same repository-refresh treatment in the same period. Note also that the tags are backfilled out of order — v0.1.0 carries a later stamp than v0.1.2.

◆ Prediction

Expect further releases only when CRAN checks or infrastructure require them; there is no indication the survey data itself will be extended.

Alternatives to delaporte and washdata

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 delaporte or washdata.

See all delaporte alternatives → · See all washdata alternatives →

Recent activity from delaporte and washdata

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

  1. 6mo agowashdataRepository and toolchain maintenance
  2. 1y agodelaporteThread limit moves to an environment variable; Fortran type checks tightened
  3. 2y agowashdataDocumentation and formatting updates
  4. 3y agodelaporteExplicit OpenMP thread control functions added
  5. 3y agodelaporteCRAN release 8.1.1
  6. 3y agodelaporteCRAN release 8.1.0
  7. 5y agowashdataSecond release: documentation and formatting
  8. 8y agowashdataPre-release of the survey dataset
  9. 8y agowashdataFirst CRAN release of the Urban Water and Sanitation Survey

Frequently asked questions

What is the difference between delaporte and washdata?

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

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

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

What are the best alternatives to washdata?

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