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Comparison · Infra & APIs

ggfootball vs goat

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

Shared themes:r-packagevisualization

ggfootball vs goat: at a glance

Featureggfootballgoat
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessports-analytics, r-package, data-scraping, expected-goalsbioinformatics, gene-set-analysis, r-package, cran
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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.

Read the full ggfootball trajectory →

What is goat?

A gene-set enrichment package that outgrew its human-only origins, then went quiet.

GOAT is a CRAN-published R package for gene set enrichment testing, now at 1.1.4. The visible arc runs from a 2024 beta through a first public CRAN release to a 1.1 line that broadened the package past human gene sets and added persistence for completed analyses. Recent releases are small: the newest ships an igraph handle on plot_network() plus bug fixes.

Read the full goat trajectory →

ggfootball vs goat: editorial side-by-side

G
ggfootball
INFRA · APIS
0.0

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.

G
goat
INFRA · APIS
0.0

A gene-set enrichment package that outgrew its human-only origins, then went quiet.

◆ Current state

GOAT is a CRAN-published R package for gene set enrichment testing, now at 1.1.4. The visible arc runs from a 2024 beta through a first public CRAN release to a 1.1 line that broadened the package past human gene sets and added persistence for completed analyses. Recent releases are small: the newest ships an igraph handle on plot_network() plus bug fixes.

◆ Where it's heading

The substantive expansion happened in the 1.1 cycle; everything since has been maintenance and plotting ergonomics. Each release since 1.1 touches one function and returns something callers previously had to reconstruct, which reads as a package settling into a stable API and responding to individual user requests rather than pursuing new scope. The 13-month gap between 1.1.2 and 1.1.4 puts it firmly in low-cadence maintenance.

◆ Prediction

Expect continued point releases that expose internals from the plotting functions or refresh the bundled GO release, not new analysis capability. The entries give no signal of a planned 1.2.

Alternatives to ggfootball and goat

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 goat.

See all ggfootball alternatives → · See all goat alternatives →

Recent activity from ggfootball and goat

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 6mo agogoatplot_network() now hands back the igraph object
  2. 6mo agoggfootballggfootball 0.3.0
  3. 6mo agoggfootballggfootball 0.2.2
  4. 1y agoggfootballggfootball 0.2.1
  5. 1y agogoatFix for a reduce_genesets() infinite loop
  6. 1y agoggfootballggfootball 0.2.0
  7. 1y agogoatGene sets beyond human, and analyses you can reload
  8. 2y agogoatFirst public release, now on CRAN
  9. 2y agogoatplot_lollipop() gains barplots and an effect-size axis
  10. 2y agogoatBeta 0.9.5 tagged, with no changes described

Frequently asked questions

What is the difference between ggfootball and goat?

Both compete on the same themes — r-package, visualization — within Infra & APIs. ggfootball and goat 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 goat?

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

Top goat alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "goat alternatives" section above for the current picks, or visit /alternatives/goat for the full list with editorial commentary on each.