pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
Comparison · Infra & APIs
ggfootball vs mmpca
A side-by-side editorial comparison of ggfootball and mmpca — release velocity, themes, recent moves, and the top alternatives to consider.
ggfootball vs mmpca: at a glance
What is ggfootball?
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.
What is mmpca?
Back from CRAN removal under a new maintainer, with the compiled layer rebuilt.
mmpca implements multiple matrix principal component analysis with a compiled GSL backend. The package spent time off CRAN, and its recent history is a rescue operation rather than a feature program: a new maintainer took it over, moved the native build path onto RcppGSL, and folded the hand-written C bindings into Rcpp. The two most recent entries landed the same day, one restoring the package and one clearing residual CRAN comments.
ggfootball vs mmpca: editorial side-by-side
ggfootball
0.0INFRA · APIS
A football-viz package just swapped scraping for an API and broke its own output to do it.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
mmpca
0.0INFRA · APIS
Back from CRAN removal under a new maintainer, with the compiled layer rebuilt.
◆ Current state
mmpca implements multiple matrix principal component analysis with a compiled GSL backend. The package spent time off CRAN, and its recent history is a rescue operation rather than a feature program: a new maintainer took it over, moved the native build path onto RcppGSL, and folded the hand-written C bindings into Rcpp. The two most recent entries landed the same day, one restoring the package and one clearing residual CRAN comments.
◆ Where it's heading
Work is concentrated on making the package installable and check-clean rather than on the decomposition itself. The version stamps run out of order, with 2.0.3 predating both 2.0.2 and 2.0.4 by three years, so the feed reads as an archive flush around the CRAN return. Nothing in the entries points at method-level work.
◆ Prediction
Expect maintenance releases that keep the compiled code passing CRAN checks; the entries give no signal about new decomposition features.
Alternatives to ggfootball and mmpca
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 mmpca.
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 ggfootball alternatives → · See all mmpca alternatives →
Recent activity from ggfootball and mmpca
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agoggfootballggfootball 0.3.0 ⚡
- 6mo agoggfootballggfootball 0.2.2
- 8mo agommpcaMinor CRAN comments cleared to keep the package listed
- 8mo agommpcaBack on CRAN under a new maintainer, rebuilt on RcppGSL ⚡
- 1y agoggfootballggfootball 0.2.1
- 1y agoggfootballggfootball 0.2.0
- 3y agommpcaValgrind memory fixes and a maximum-iteration option
Frequently asked questions
What is the difference between ggfootball and mmpca?
They serve adjacent needs but don't currently overlap on shipped themes. ggfootball and mmpca 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 ggfootball better than mmpca?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggfootball and mmpca 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 ggfootball?
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.
What are the best alternatives to mmpca?
Top mmpca alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mmpca alternatives" section above for the current picks, or visit /alternatives/mmpca for the full list with editorial commentary on each.