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Comparison · Infra & APIs

ggfootball vs samplr

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

Shared themes:r-package

ggfootball vs samplr: at a glance

Featureggfootballsamplr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessports-analytics, r-package, data-scraping, expected-goalscognitive-science, sampling-algorithms, mcmc, dormant
Last editorial update48m 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 samplr?

A cognitive-science sampling package ships once, then goes quiet for eighteen months

samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.

Read the full samplr trajectory →

ggfootball vs samplr: 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.

S
samplr
INFRA · APIS
0.0

A cognitive-science sampling package ships once, then goes quiet for eighteen months

◆ Current state

samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.

◆ Where it's heading

The feed shows a package that shipped and stopped. The 2024 tags were both created in one sitting and say almost nothing; the 2026 release is a row-count bug in Mean_Variance() bundled with citation metadata, a dropped dependency and http-to-https link fixes — the housekeeping profile of a package being kept alive for the paper that cites it rather than actively developed.

◆ Prediction

Adding citation information to the README is usually the move of a maintainer expecting the package to be referenced rather than extended. On this cadence the next release is more likely another CRAN-hygiene patch than new algorithms; there is not enough in these notes to say otherwise.

Alternatives to ggfootball and samplr

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 samplr.

See all ggfootball alternatives → · See all samplr alternatives →

Recent activity from ggfootball and samplr

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

  1. 5mo agosamplrMean_Variance() row count corrected after eighteen months
  2. 6mo agoggfootballggfootball 0.3.0
  3. 6mo agoggfootballggfootball 0.2.2
  4. 1y agoggfootballggfootball 0.2.1
  5. 1y agoggfootballggfootball 0.2.0
  6. 1y agosamplrFloating point comparison fix
  7. 1y agosamplrsamplr 1.0.0

Frequently asked questions

What is the difference between ggfootball and samplr?

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

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

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