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delaporte vs TidyDensity

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

Shared themes:r-package

delaporte vs TidyDensity: at a glance

FeaturedelaporteTidyDensity
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesprobability-distributions, count-data, fortran, openmpstatistical-distributions, random-generation, parameter-estimation, tidyverse
Last editorial update47m ago1h 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 TidyDensity?

A distribution catalogue that grows by one family at a time, and rarely breaks anything.

TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.

Read the full TidyDensity trajectory →

delaporte vs TidyDensity: 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.

T
TidyDensity
ANALYTICS
0.0

A distribution catalogue that grows by one family at a time, and rarely breaks anything.

◆ Current state

TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.

◆ Where it's heading

The package is filling out a matrix rather than changing shape — every new distribution gets the same four or five companion functions, so the surface grows predictably and the design does not. What variation exists comes from utilities that work across distributions: MCMC sampling, bootstrap helpers, time series conversion, distribution comparison. The two genuine breaking changes in this window were both internal reworks, moving generation onto data.table and rewriting quantile normalization for speed.

◆ Prediction

The established pattern of adding a distribution with its full helper set is the most likely continuation. Recent releases have been small, suggesting the catalogue is approaching the distributions its author considers worth covering.

Alternatives to delaporte and TidyDensity

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 TidyDensity.

See all delaporte alternatives → · See all TidyDensity alternatives →

Recent activity from delaporte and TidyDensity

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

  1. 11mo agoTidyDensityquantile_normalize rewritten, changing its output
  2. 1y agoTidyDensityDocumentation corrections for two distribution functions
  3. 1y agodelaporteThread limit moves to an environment variable; Fortran type checks tightened
  4. 2y agoTidyDensityZero-truncated distributions and AIC helpers added in bulk
  5. 2y agoTidyDensityMCMC sampling and quantile normalization join the utilities
  6. 2y agoTidyDensityGeneration moves to data.table; native pipe raises the R floor
  7. 2y agoTidyDensityDistributions convertible to time series objects
  8. 3y agodelaporteExplicit OpenMP thread control functions added
  9. 3y agodelaporteCRAN release 8.1.1
  10. 3y agodelaporteCRAN release 8.1.0

Frequently asked questions

What is the difference between delaporte and TidyDensity?

Both compete on the same themes — r-package — within Analytics. delaporte and TidyDensity 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 TidyDensity?

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

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