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Comparison · Infra & APIs

ggfootball vs jSDM

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

ggfootball vs jSDM: at a glance

FeatureggfootballjSDM
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessports-analytics, r-package, data-scraping, expected-goalsspecies-distribution-models, bayesian, gibbs-sampling, ecology
Last editorial update2h 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 jSDM?

Joint species distribution models in Gibbs-sampled C++, quiet since 2023.

jSDM fits joint species distribution models by Gibbs sampling, with the sampler written in C++ against GSL and Armadillo and exposed through binomial probit, binomial logit, Poisson log and Gaussian entry points. The 0.2 line extended it with species traits, constrained factor loadings and residual-association plots. The one entry since 2023 carries only a compare link.

Read the full jSDM trajectory →

ggfootball vs jSDM: 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.

J
jSDM
INFRA · APIS
0.0

Joint species distribution models in Gibbs-sampled C++, quiet since 2023.

◆ Current state

jSDM fits joint species distribution models by Gibbs sampling, with the sampler written in C++ against GSL and Armadillo and exposed through binomial probit, binomial logit, Poisson log and Gaussian entry points. The 0.2 line extended it with species traits, constrained factor loadings and residual-association plots. The one entry since 2023 carries only a compare link.

◆ Where it's heading

The package built out its model family quickly and then stopped: five of the six visible entries are stamped the same day as a backfilled archive, and the only later release says nothing about its contents. The direction the 0.2 line was heading, toward trait-mediated species effects and better convergence on latent variable models, has no visible continuation.

◆ Prediction

The feed does not support a confident prediction; the latest entry publishes no notes, so whether the package is still developing or only being kept CRAN-clean cannot be read from it.

Alternatives to ggfootball and jSDM

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 jSDM.

See all ggfootball alternatives → · See all jSDM alternatives →

Recent activity from ggfootball and jSDM

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

  1. 6mo agoggfootballggfootball 0.3.0
  2. 6mo agoggfootballggfootball 0.2.2
  3. 9mo agojSDMjSDM CRAN release v0.2.7: Joint Species Distribution Models
  4. 1y agoggfootballggfootball 0.2.1
  5. 1y agoggfootballggfootball 0.2.0
  6. 3y agojSDMSpecies traits, constrained loadings and association plots
  7. 3y agojSDMFirst release: C++ Gibbs sampler for joint species models
  8. 3y agojSDMResidual correlation functions can filter to significant values
  9. 3y agojSDMjSDM_gaussian() fits continuous data with overdispersion
  10. 3y agojSDMFour versions of CRAN check corrections

Frequently asked questions

What is the difference between ggfootball and jSDM?

They serve adjacent needs but don't currently overlap on shipped themes. ggfootball and jSDM 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 jSDM?

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

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