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Comparison · Infra & APIs

samplr vs tf

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

samplr vs tf: at a glance

Featuresamplrtf
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themescognitive-science, sampling-algorithms, mcmc, dormantfunctional-data-analysis, vctrs, multivariate, r-packages
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is samplr?

A cognitive-science sampling package ships once, then goes quiet for eighteen months

samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.

Read the full samplr 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 →

samplr vs tf: editorial side-by-side

S
samplr
INFRA · APIS
0.0

A cognitive-science sampling package ships once, then goes quiet for eighteen months

◆ Current state

samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.

◆ Where it's heading

The feed shows a package that shipped and stopped. The 2024 tags were both created in one sitting and say almost nothing; the 2026 release is a row-count bug in Mean_Variance() bundled with citation metadata, a dropped dependency and http-to-https link fixes — the housekeeping profile of a package being kept alive for the paper that cites it rather than actively developed.

◆ Prediction

Adding citation information to the README is usually the move of a maintainer expecting the package to be referenced rather than extended. On this cadence the next release is more likely another CRAN-hygiene patch than new algorithms; there is not enough in these notes to say otherwise.

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 samplr 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 samplr or tf.

See all samplr alternatives → · See all tf alternatives →

Recent activity from samplr 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. 5mo agosamplrMean_Variance() row count corrected after eighteen months
  4. 1y agosamplrFloating point comparison fix
  5. 1y agosamplrsamplr 1.0.0
  6. 2y agotfFix: tf_crosscov normalization

Frequently asked questions

What is the difference between samplr and tf?

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

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

Top samplr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "samplr alternatives" section above for the current picks, or visit /alternatives/samplr 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.