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cfbfastr vs semmcci

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

Shared themes:r-package

cfbfastr vs semmcci: at a glance

Featurecfbfastrsemmcci
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescollege-football, sports-analytics, api-migration, rate-limitsstructural-equation-modeling, monte-carlo, confidence-intervals, r-package
Last editorial update1h ago6h 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 semmcci?

Monte Carlo confidence intervals for SEM, now mostly reacting to upstream deprecations

semmcci generates Monte Carlo confidence intervals for structural equation model parameters, working alongside lavaan. Its four-year release history is a run of patch versions from the jeksterslab account, each adding a function or adjusting method detail. The recent ones are quieter still: the latest addresses a lavaan::getCov() deprecation in tests, and the one before it is described only as minor method edits.

Read the full semmcci trajectory →

cfbfastr vs semmcci: 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.

S
semmcci
ANALYTICS
0.0

Monte Carlo confidence intervals for SEM, now mostly reacting to upstream deprecations

◆ Current state

semmcci generates Monte Carlo confidence intervals for structural equation model parameters, working alongside lavaan. Its four-year release history is a run of patch versions from the jeksterslab account, each adding a function or adjusting method detail. The recent ones are quieter still: the latest addresses a lavaan::getCov() deprecation in tests, and the one before it is described only as minor method edits.

◆ Where it's heading

The functional build-out finished some time ago. MCGeneric() in 1.1.3 and Func()/MCFunc() in 1.1.4 opened the package to user-defined functions of parameters, which is the natural end point for a Monte Carlo interval tool — once arbitrary functions are supported, there is little left to add. Since then releases have tracked lavaan's changes rather than semmcci's own direction, and the gap between them has stretched from months to over a year.

◆ Prediction

Expect the next release to be triggered by another lavaan deprecation rather than by new capability.

Alternatives to cfbfastr and semmcci

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 semmcci.

See all cfbfastr alternatives → · See all semmcci alternatives →

Recent activity from cfbfastr and semmcci

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

  1. 2mo agosemmccilavaan getCov() deprecation handled in tests
  2. 10mo agosemmcciMinor method edits
  3. 11mo agocfbfastrRebuilt on CFBD API v2 with metered access and live endpoints
  4. 2y agosemmcciUser-defined parameter functions via Func() and MCFunc()
  5. 2y agosemmcciMCGeneric() opens up arbitrary parameter targets
  6. 3y agosemmcciMultiple-imputation support via MCMI()
  7. 3y agosemmcciData generation internals refactored
  8. 4y agocfbfastrESPN endpoints and repo-backed loaders added
  9. 4y agocfbfastrAll outputs standardised as tibbles with a custom class
  10. 4y agocfbfastrCRAN release with option-restoring cleanup
  11. 4y agocfbfastrMinor fixes to betting and FPI rating functions
  12. 4y agocfbfastrESPN scoreboard and play-by-play access, with argument cleanup

Frequently asked questions

What is the difference between cfbfastr and semmcci?

Both compete on the same themes — r-package — within Analytics. cfbfastr and semmcci 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 semmcci?

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

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