pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of ggfootball and TrendLSW — release velocity, themes, recent moves, and the top alternatives to consider.
A football-viz package just swapped scraping for an API and broke its own output to do it.
ggfootball is a small R package for plotting expected-goals and shot data, sourced from Understat. Four releases are visible. The 0.2.x line was argument tidying and dependency pruning; 0.3.0 replaced the data-acquisition layer wholesale, moving get_match_shots() from HTML parsing onto Understat's AJAX endpoints and changing the returned column names in the process.
Wavelet trend estimation tightens the defaults it shipped with.
TrendLSW estimates trend and evolutionary wavelet spectrum for locally stationary time series through a single TLSW() entry point. Its history since the first CRAN appearance is short and centres on defaults and plotting around that function, plus one dataset addition. The latest entry carries both the 1.0.4 and 1.0.3 notes in one body.
ggfootball is a small R package for plotting expected-goals and shot data, sourced from Understat. Four releases are visible. The 0.2.x line was argument tidying and dependency pruning; 0.3.0 replaced the data-acquisition layer wholesale, moving get_match_shots() from HTML parsing onto Understat's AJAX endpoints and changing the returned column names in the process.
The direction is away from scraped HTML and toward a thinner, more defensible package: four dependencies dropped in 0.3.0 on top of qdapRegex in 0.2.1, input validation added, error messages rewritten. Both breaking changes so far were accepted rather than deferred, which reads as a maintainer treating pre-1.0 as the window to get the shape right. The package is willing to break callers for structural reasons, not cosmetic ones.
With the scraper rebuilt and the dependency surface trimmed, the next releases are likely to stabilise the new column names and extend the plotting side, which has seen nothing since 0.2.0. A 1.0 would be the signal that the data structure is now considered fixed.
TrendLSW estimates trend and evolutionary wavelet spectrum for locally stationary time series through a single TLSW() entry point. Its history since the first CRAN appearance is short and centres on defaults and plotting around that function, plus one dataset addition. The latest entry carries both the 1.0.4 and 1.0.3 notes in one body.
The package has moved from getting onto CRAN to correcting the choices it launched with: the spectrum filter defaults were swapped to their trend counterparts, the plot.CI switch was removed in favour of inferring it from what was actually computed, and an example was shrunk to fit check timings. This is consolidation around a stable API rather than expansion.
Further releases most likely continue tuning TLSW() defaults and plot behaviour; the entries show no work toward new estimators.
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 ggfootball or TrendLSW.
The protist reference database keeps widening past the rRNA gene it was built on.
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
Conservation planning absorbs the literature's target-setting rules as code.
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
An ecosystem model starts tracking carbon isotopes and land-use change.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
See all ggfootball alternatives → · See all TrendLSW alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ggfootball and TrendLSW 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggfootball and TrendLSW 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.
Top ggfootball alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggfootball alternatives" section above for the current picks, or visit /alternatives/ggfootball for the full list with editorial commentary on each.
Top TrendLSW alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "TrendLSW alternatives" section above for the current picks, or visit /alternatives/trendlsw for the full list with editorial commentary on each.