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Comparison · Infra & APIs

states vs tf

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

states vs tf: at a glance

Featurestatestf
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themespolitical-science, panel-data, country-codes, datasetsfunctional-data-analysis, vctrs, multivariate, r-packages
Last editorial update41m ago3h ago
WebsiteVisit →Visit →

What is states?

State-panel tooling holding steady since its 2020 data and ergonomics release.

states supplies the Gleditsch & Ward and Correlates of War state lists and the tooling to turn them into country-year or country-month panels, with plot_missing() for coverage checks. The substantive work landed in 2020; the releases since are compatibility fixes against ggplot2, dplyr, readr and testthat. The most recent entry is a single test repair.

Read the full states 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 →

states vs tf: editorial side-by-side

S
states
INFRA · APIS
0.0

State-panel tooling holding steady since its 2020 data and ergonomics release.

◆ Current state

states supplies the Gleditsch & Ward and Correlates of War state lists and the tooling to turn them into country-year or country-month panels, with plot_missing() for coverage checks. The substantive work landed in 2020; the releases since are compatibility fixes against ggplot2, dplyr, readr and testthat. The most recent entry is a single test repair.

◆ Where it's heading

The package has reached the point where its own data and API are settled and the release trigger is upstream churn in the tidyverse. What movement there is goes toward making the two state lists interchangeable, with the microstates coding carried from G&W onto the COW data as the clearest example, rather than toward new datasets.

◆ Prediction

The next release is most likely another compatibility pass; a data refresh would be the signal that the package is active again.

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 states 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 states or tf.

See all states alternatives → · See all tf alternatives →

Recent activity from states 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. 0y agostatesplot_missing() test fixed for the next ggplot2
  4. 2y agotfFix: tf_crosscov normalization
  5. 2y agostatesggplot2 and dplyr deprecation cleanup
  6. 2y agostatesBundled state data stripped to plain data frames
  7. 5y agostatesMicrostate coding for COW data and state_panel() shortcuts
  8. 7y agostatesSimpler defaults for state_panel() and plot_missing()

Frequently asked questions

What is the difference between states and tf?

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

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

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