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cfbfastr vs dissmapr

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

cfbfastr vs dissmapr: at a glance

Featurecfbfastrdissmapr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescollege-football, sports-analytics, api-migration, rate-limitsbiodiversity, dissimilarity, bioregions, research software
Last editorial update1h ago7h ago
WebsiteVisit →Visit →

What is cfbfastr?

College football's open data client hit v2 — and now reports how many API calls you have left.

cfbfastR retrieves college football data — play-by-play, box scores, betting lines, ratings and recruiting — from the CollegeFootballData API, ESPN endpoints and the sportsdataverse data repository. Version 2.0.0 in September 2025 was the first release in over three years and rebuilt the package against CFBD's v2 API. Every load_cfb_*() function changed its underlying source to comply with CFBD's terms, the play-by-play dataset gained team and game identifiers users previously had to join in themselves, and a batch of new endpoints arrived covering opponent-adjusted metrics, FPI ratings and live scoreboard and play data.

Read the full cfbfastr trajectory →

What is dissmapr?

dissmapr spent its first releases becoming citable rather than adding methods.

dissmapr provides an R workflow for compositional dissimilarity and turnover — occurrence data through spatial gridding and environmental linkage to order-wise dissimilarity and bioregional mapping. All three releases to date are infrastructure: a first citable archive in June 2026, then a maturity release aligning the package with the B-Cubed software development guide. The ten-function pipeline described in the notes has not changed across them.

Read the full dissmapr trajectory →

cfbfastr vs dissmapr: editorial side-by-side

C
cfbfastr
ANALYTICS
0.0

College football's open data client hit v2 — and now reports how many API calls you have left.

◆ Current state

cfbfastR retrieves college football data — play-by-play, box scores, betting lines, ratings and recruiting — from the CollegeFootballData API, ESPN endpoints and the sportsdataverse data repository. Version 2.0.0 in September 2025 was the first release in over three years and rebuilt the package against CFBD's v2 API. Every load_cfb_*() function changed its underlying source to comply with CFBD's terms, the play-by-play dataset gained team and game identifiers users previously had to join in themselves, and a batch of new endpoints arrived covering opponent-adjusted metrics, FPI ratings and live scoreboard and play data.

◆ Where it's heading

The package's direction is now set by the data provider rather than by its own plans, and that provider has moved to metered access — the free tier is capped at 1,000 calls a month, with limits tied to membership level. cfbd_api_key_info() reporting a user's tier and usage is the clearest sign of that shift: quota is now something an analysis has to manage. The long gap before 2.0.0 and its arrival largely through a first-time contributor also indicate a package sustained by community effort rather than steady maintenance.

◆ Prediction

The live scoreboard and play endpoints are the natural place for the next work, since they are the ones that benefit from in-season iteration. Given the release notes warn users to check their pipelines, follow-up fixes for the changed loading functions are likely before anything new lands.

D
dissmapr
ANALYTICS
0.0

dissmapr spent its first releases becoming citable rather than adding methods.

◆ Current state

dissmapr provides an R workflow for compositional dissimilarity and turnover — occurrence data through spatial gridding and environmental linkage to order-wise dissimilarity and bioregional mapping. All three releases to date are infrastructure: a first citable archive in June 2026, then a maturity release aligning the package with the B-Cubed software development guide. The ten-function pipeline described in the notes has not changed across them.

◆ Where it's heading

The work is compliance-shaped rather than method-shaped: explicit @importFrom in place of whole-namespace imports, library() calls removed from package code, roughly 11 MB of development caches dropped, a runnable README quick-start, and Zenodo archival with CITATION.cff and codemeta.json. dissmapr moves in lockstep with its B-Cubed sibling invasimapr — both tagged 0.1.0 within three minutes of each other and 0.2.0 on the same day — so releases here reflect project-wide standards deadlines more than package-specific work. The stated roadmap of additional ecological distance metrics has not yet landed.

◆ Prediction

With standards work now signed off and R CMD check clean, the next release is the first real chance for the roadmap items — additional ecological distance metrics — to arrive.

Alternatives to cfbfastr and dissmapr

Other Analytics 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 cfbfastr or dissmapr.

See all cfbfastr alternatives → · See all dissmapr alternatives →

Recent activity from cfbfastr and dissmapr

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

  1. 1mo agodissmaprVersion bump; notes identical to 0.2.0
  2. 1mo agodissmaprB-Cubed standards alignment, docs overhaul and a citable DOI
  3. 1mo agodissmaprdissmapr v0.1.0: First citable release
  4. 11mo agocfbfastrRebuilt on CFBD API v2 with metered access and live endpoints
  5. 4y agocfbfastrESPN endpoints and repo-backed loaders added
  6. 4y agocfbfastrAll outputs standardised as tibbles with a custom class
  7. 4y agocfbfastrCRAN release with option-restoring cleanup
  8. 4y agocfbfastrMinor fixes to betting and FPI rating functions
  9. 4y agocfbfastrESPN scoreboard and play-by-play access, with argument cleanup

Frequently asked questions

What is the difference between cfbfastr and dissmapr?

They serve adjacent needs but don't currently overlap on shipped themes. cfbfastr and dissmapr 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 cfbfastr better than dissmapr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cfbfastr and dissmapr 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 Analytics products to evaluate alongside.

What are the best alternatives to cfbfastr?

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

What are the best alternatives to dissmapr?

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