pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
Comparison · Infra & APIs
gofedf vs states
A side-by-side editorial comparison of gofedf and states — release velocity, themes, recent moves, and the top alternatives to consider.
gofedf vs states: at a glance
What is gofedf?
A two-test goodness-of-fit package opens itself up to any weight function
gofedf runs goodness-of-fit tests built on the empirical distribution function. Its three releases trace a short, clean arc: existence in 2023, then p-values computed from an analytical solution of the integral equation in 2024, then in 2026 a user-supplied weight function that replaces the fixed menu. Cramer-von Mises and Anderson-Darling are now two points in a family rather than the two options.
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.
gofedf vs states: editorial side-by-side
gofedf
0.0INFRA · APIS
A two-test goodness-of-fit package opens itself up to any weight function
◆ Current state
gofedf runs goodness-of-fit tests built on the empirical distribution function. Its three releases trace a short, clean arc: existence in 2023, then p-values computed from an analytical solution of the integral equation in 2024, then in 2026 a user-supplied weight function that replaces the fixed menu. Cramer-von Mises and Anderson-Darling are now two points in a family rather than the two options.
◆ Where it's heading
The package is generalising rather than accumulating. Each release removed a hard-coded decision: first how eigenvalues are computed, offering both the analytical route and a matrix approximation; then which weight function defines the statistic at all. The maintainer's own framing in 1.1.0 is a contrast against what earlier versions would not let you do, which is the shape of a package aiming to become a framework.
◆ Prediction
An arbitrary weight function is the extensibility point that matters for EDF tests; what it lacks is calibration guidance, since Type I error behaviour was the argued benefit of the analytical eigenvalue route. Documented recommendations or diagnostics for user-chosen weights are the natural follow-up, though the entries do not announce one.
states
0.0INFRA · APIS
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.
Alternatives to gofedf and states
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 gofedf or states.
ggalign
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
prioritizr
Conservation planning absorbs the literature's target-setting rules as code.
jSDM
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
rsofun
An ecosystem model starts tracking carbon isotopes and land-use change.
usmap
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
See all gofedf alternatives → · See all states alternatives →
Recent activity from gofedf and states
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agogofedfUser-supplied weight functions for Cramer-von Mises tests ⚡
- 0y agostatesplot_missing() test fixed for the next ggplot2
- 1y agogofedfp-values from an analytical eigenvalue solution
- 2y agogofedfFirst release of the gofedf package ⚡
- 2y agostatesggplot2 and dplyr deprecation cleanup
- 2y agostatesBundled state data stripped to plain data frames
- 5y agostatesMicrostate coding for COW data and state_panel() shortcuts
- 7y agostatesSimpler defaults for state_panel() and plot_missing()
Frequently asked questions
What is the difference between gofedf and states?
They serve adjacent needs but don't currently overlap on shipped themes. gofedf and states 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 gofedf better than states?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gofedf and states 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 gofedf?
Top gofedf alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "gofedf alternatives" section above for the current picks, or visit /alternatives/gofedf for the full list with editorial commentary on each.
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.