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bagyo vs nflfastR

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

bagyo vs nflfastR: at a glance

FeaturebagyonflfastR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesopen data, tropical cyclones, philippines, data packagesports analytics, nflverse, api consolidation, play-by-play data
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is bagyo?

bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.

A data package distributing Philippine Area of Responsibility tropical cyclone records, developed through 2024 pre-releases and accepted by CRAN in early 2026. The substantive release is v0.2.0: 2021 and 2022 typhoon data added, an unexported helper for downloading cyclone reports, CITATION.cff, an R 4.1 dependency for the base pipe, and a full pass over vignettes, tests and README. The v0.1.1 tag announcing the first CRAN release carries no content and is stamped two hours after v0.2.0.

Read the full bagyo trajectory →

What is nflfastR?

nflfastR is shedding surface to the rest of nflverse and consolidating on one stats API.

The play-by-play backbone of nflverse, shipping one or two releases a year with long bug-fix lists against decades of NFL data. Since 5.0.0 the package has had a single calculate_stats() entry point that replaces the older calculate_player_stats*() family, backed by an exported nfl_stats_variables table describing every returned column. The last two releases hand work outward — standings moved to nflseedR, and the loaders are now straight re-exports of nflreadr — while fast_scraper_roster(), fast_scraper_schedules() and report() are formally deprecated.

Read the full nflfastR trajectory →

bagyo vs nflfastR: editorial side-by-side

B
bagyo
ANALYTICS
0.0

bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.

◆ Current state

A data package distributing Philippine Area of Responsibility tropical cyclone records, developed through 2024 pre-releases and accepted by CRAN in early 2026. The substantive release is v0.2.0: 2021 and 2022 typhoon data added, an unexported helper for downloading cyclone reports, CITATION.cff, an R 4.1 dependency for the base pipe, and a full pass over vignettes, tests and README. The v0.1.1 tag announcing the first CRAN release carries no content and is stamped two hours after v0.2.0.

◆ Where it's heading

The package is establishing itself as a citable, yearly-updated dataset rather than a one-off scrape — the download helper and the '2022 data and general yearly upkeep' commit both point at a recurring refresh, and the CRAN DOI and CITATION file exist so the data can be cited in papers. It sits alongside the same maintainer's other public-health and survey data packages, which received matching repository upkeep in the same month.

◆ Prediction

Expect an annual data release adding the next typhoon season, since that is the only recurring change in the history and the download helper was written to support it.

N
nflfastR
ANALYTICS
0.0

nflfastR is shedding surface to the rest of nflverse and consolidating on one stats API.

◆ Current state

The play-by-play backbone of nflverse, shipping one or two releases a year with long bug-fix lists against decades of NFL data. Since 5.0.0 the package has had a single calculate_stats() entry point that replaces the older calculate_player_stats*() family, backed by an exported nfl_stats_variables table describing every returned column. The last two releases hand work outward — standings moved to nflseedR, and the loaders are now straight re-exports of nflreadr — while fast_scraper_roster(), fast_scraper_schedules() and report() are formally deprecated.

◆ Where it's heading

nflfastR is becoming the parsing and modelling core rather than the whole toolkit. Every recent release either narrows its own API or points users at a sibling package, and the documentation strategy follows: re-exported functions are deliberately undocumented here so nflreadr stays the single source. The remaining in-house work is data correctness — duplicated play IDs, scramble identification, new penalty types — plus keeping the xgboost-backed models running as that dependency moves.

◆ Prediction

The deprecated scrapers and report() are the next things to be removed outright, and the calculate_player_stats*() family should follow, leaving calculate_stats() as the only supported path.

Alternatives to bagyo and nflfastR

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 bagyo or nflfastR.

See all bagyo alternatives → · See all nflfastR alternatives →

Recent activity from bagyo and nflfastR

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

  1. 6mo agonflfastRLoaders re-exported from nflreadr; legacy scrapers deprecated
  2. 7mo agobagyobagyo v0.1.1
  3. 7mo agobagyo2021 and 2022 typhoon data added
  4. 1y agonflfastRStandings handed to nflseedR; R 4.1 now required
  5. 1y agonflfastRnflfastR 5.0.0
  6. 2y agobagyoPre-release for Zenodo archiving
  7. 2y agobagyoInitial pre-release
  8. 2y agonflfastRSeason-level conversion rate aggregation fixed
  9. 2y agonflfastRRaw play-by-play can now be cached and parsed locally
  10. 3y agonflfastRReverse-dependency tests and dplyr compatibility fixes

Frequently asked questions

What is the difference between bagyo and nflfastR?

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

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

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

What are the best alternatives to nflfastR?

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