← Back to home
Comparison · Analytics

cfbfastr vs kde1d

A side-by-side editorial comparison of cfbfastr and kde1d — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

cfbfastr vs kde1d: at a glance

Featurecfbfastrkde1d
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescollege-football, sports-analytics, api-migration, rate-limitsdensity-estimation, kernel-methods, zero-inflation, cpp-library
Last editorial update1h ago49m 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 kde1d?

A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.

kde1d estimates univariate densities with local polynomial kernel methods, handling bounded, discrete and now zero-inflated variables through a single type argument, with the numerical work in a header-only C++ library usable outside R. Version 1.1.0 added the zero-inflated discrete-continuous mixture case and shipped a new C++ API as an explicit breaking change; 1.1.1 followed in June with auto-generated notes and no description.

Read the full kde1d trajectory →

cfbfastr vs kde1d: 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.

K
kde1d
ANALYTICS
0.0

A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.

◆ Current state

kde1d estimates univariate densities with local polynomial kernel methods, handling bounded, discrete and now zero-inflated variables through a single type argument, with the numerical work in a header-only C++ library usable outside R. Version 1.1.0 added the zero-inflated discrete-continuous mixture case and shipped a new C++ API as an explicit breaking change; 1.1.1 followed in June with auto-generated notes and no description.

◆ Where it's heading

The package has alternated between performance work and widening the class of data it accepts. The 1.0.0 release was the performance milestone — FFT-based estimation, a better integration algorithm for the p, q and r functions, deterministic jittering replacing randomness, and standalone C++ headers. The 1.1.0 release is the scope milestone, adding a third data type to the two it already handled. Releases come from the same maintainer as svines and cluster on shared dates, so changes in the underlying C++ surface across the vine and density stack tend to ship together.

◆ Prediction

With the C++ API deliberately reworked for standalone use at 1.1.0, further work most plausibly consolidates that interface rather than adding data types. What 1.1.1 actually changed is not readable from its body.

Alternatives to cfbfastr and kde1d

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 kde1d.

See all cfbfastr alternatives → · See all kde1d alternatives →

Recent activity from cfbfastr and kde1d

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

  1. 11mo agocfbfastrRebuilt on CFBD API v2 with metered access and live endpoints
  2. 1y agokde1dkde1d 1.1.1
  3. 1y agokde1dZero-inflated mixtures and a new standalone C++ API
  4. 4y agocfbfastrESPN endpoints and repo-backed loaders added
  5. 4y agocfbfastrAll outputs standardised as tibbles with a custom class
  6. 4y agokde1dBit-wise Boolean operations removed
  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
  10. 5y agokde1ddkde1d() invisible output fixed
  11. 5y agokde1dValgrind false positive silenced
  12. 6y agokde1dqrng dependency dropped; undefined behaviour fixed

Frequently asked questions

What is the difference between cfbfastr and kde1d?

Both compete on the same themes — r-package — within Analytics. cfbfastr and kde1d 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 kde1d?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cfbfastr and kde1d 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 kde1d?

Top kde1d alternatives in Analytics are ranked by recent ship velocity. Browse the "kde1d alternatives" section above for the current picks, or visit /alternatives/kde1d for the full list with editorial commentary on each.