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Comparison · Infra & APIs

crandep vs tf

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

crandep vs tf: at a glance

Featurecrandeptf
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themescran, dependency-network, power-law, mcmcfunctional-data-analysis, vctrs, multivariate, r-packages
Last editorial update1h ago6h ago
WebsiteVisit →Visit →

What is crandep?

Half CRAN dependency scraper, half extreme-value modelling kit — and the scraper half keeps finding bugs.

crandep does two jobs that rarely share a package: it harvests the CRAN dependency network, and it fits power-law and extreme-value mixture models to the resulting degree distributions. The 2024 releases were all model work — profile posteriors, wrappers, a constrained variant, a TZP-power-law mixture between the two- and three-component models. The 2025 releases are entirely the other half, fixing what the harvester was silently getting wrong.

Read the full crandep trajectory →

What is tf?

tf gave functional data a second dimension: curves whose values are vectors.

tf supplies the vector classes underneath the tidyfun stack — tfd for raw functional observations, tfb for basis-represented ones, both built on vctrs so curves sit in a data frame column and behave like any other vector. Until July that codomain was scalar. The 0.5.0 release adds tfd_mv and tfb_mv, classes for functions whose values are vectors in R^d, and rebuilds the analysis verbs to match.

Read the full tf trajectory →

crandep vs tf: editorial side-by-side

C
crandep
INFRA · APIS
0.0

Half CRAN dependency scraper, half extreme-value modelling kit — and the scraper half keeps finding bugs.

◆ Current state

crandep does two jobs that rarely share a package: it harvests the CRAN dependency network, and it fits power-law and extreme-value mixture models to the resulting degree distributions. The 2024 releases were all model work — profile posteriors, wrappers, a constrained variant, a TZP-power-law mixture between the two- and three-component models. The 2025 releases are entirely the other half, fixing what the harvester was silently getting wrong.

◆ Where it's heading

The modelling side has settled into a family of mixtures with matching wrapper and profile-posterior functions, and has not gained a new component since mid-2024. Attention has shifted to data quality in the scraper, where two consecutive releases dealt with the same class of problem: rows that should not exist because of trailing commas in CRAN's own metadata, and rows that should exist but did not because orphan packages have no edges. For a package whose science is degree distributions, missing isolated nodes is a modelling error, not a formatting one.

◆ Prediction

Expect further hardening against CRAN metadata quirks in the harvesting functions; the mixture-model side looks feature-complete and is likely to stay quiet unless a new component model is published.

T
tf
INFRA · APIS
0.0

tf gave functional data a second dimension: curves whose values are vectors.

◆ Current state

tf supplies the vector classes underneath the tidyfun stack — tfd for raw functional observations, tfb for basis-represented ones, both built on vctrs so curves sit in a data frame column and behave like any other vector. Until July that codomain was scalar. The 0.5.0 release adds tfd_mv and tfb_mv, classes for functions whose values are vectors in R^d, and rebuilds the analysis verbs to match.

◆ Where it's heading

The package is widening what a functional observation can be, then porting the toolkit onto it. Registration arrived first in 0.4.0 for univariate curves and immediately gained an srvf_mv method for aligning components jointly, and tfb_mfpc() ports principal component analysis to the multivariate case with a single set of scores shared across components. Alongside that runs steady dependency shedding — mvtnorm and pracma both replaced by inlined samplers that reproduce prior draws bit-for-bit, glue dropped for cli in the previous release — and an unusually long tail of NA-handling and edge-case fixes, several caught in pre-release review of the new classes.

◆ Prediction

The new classes ship with FPCA, registration and shape alignment but the release notes describe tidyfun::tf_unnest() as the consumer of one new export, so the visible next step is the rest of the tidyfun stack catching up to vector-valued columns. Expect follow-up patches on the vctrs casting paths, which is where most of this release's late fixes clustered.

Alternatives to crandep and tf

Other Infra & APIs 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 crandep or tf.

See all crandep alternatives → · See all tf alternatives →

Recent activity from crandep and tf

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

  1. 1mo agotfVector-valued functional data becomes a first-class type
  2. 5mo agotfCurve registration, five depth measures and sub-domain splitting
  3. 1y agocrandepDependency harvest split in two so orphan packages stop disappearing
  4. 1y agocrandepTrailing commas in CRAN metadata no longer produce empty-name rows
  5. 2y agocrandepConstrained two-component mixture with continuity at the threshold
  6. 2y agotfFix: tf_crosscov normalization
  7. 2y agocrandepArgument names normalised to x_max; MCMC wrapper defaults set
  8. 2y agocrandepTZP-power-law mixture fills the gap between the 2- and 3-component models
  9. 2y agocrandepProfile posteriors and chained MCMC wrappers for the mixture models

Frequently asked questions

What is the difference between crandep and tf?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. crandep and tf 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to crandep?

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

What are the best alternatives to tf?

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